text:
@inproceedings{10.1145/3491101.3516406,
author = {Executive Committee, SIGCHI and Vivacqua, Adriana S. and Kun, Andrew L. and Passmore, Cale and Mentis, Helena and Andres, Josh and Todi, Kashyap and De Russis, Luigi and Jones, Matt and Yamashita, Naomi and Kumar, Neha and Bidwell, Nicola J. and Mirza-Babaei, Pejman and Kumar, Priya C. and Bardzell, Shaowen and Kriglstein, Simone and Branham, Stacy M. and Dray, Susan and Boll, Susanne and Clegg, Tamara},
title = {SIGCHI Turns 40: Honoring the Past, Celebrating the Present, and Envisioning the Next 40},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3516406},
doi = {10.1145/3491101.3516406},
abstract = {This Special Interest Group (SIG) will collaboratively explore potential futures of the ACM Special Interest Group on Computer-Human Interaction (SIGCHI) on the organization’s 40th anniversary. Taking stock of where we are now, forty years after inception, our goal will be to engage members of the SIGCHI community in a participatory approach towards imagining how SIGCHI might evolve, and how it can ensure that the elements it values most, such as connection, inclusion, and equity, among others, can be nurtured as the field evolves, and technologies come and go.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {158},
numpages = {3},
keywords = {Future of SIGCHI},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3516398,
author = {Baughan, Amanda and Rajadesingan, Ashwin and Hiniker, Alexis and Resnick, Paul and Bruckman, Amy},
title = {SIG on Designing for Constructive Conflict},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3516398},
doi = {10.1145/3491101.3516398},
abstract = {Online arguments are an increasingly important and controversial part of modern life. From the spread of political conspiracies to managing relationships while socially distanced, the past several years have stressed the role technology plays in our interactions with one another. And unavoidably, part of maintaining relationships includes managing conflict and disagreements, from who does which chores to who’s a better political candidate. This SIG will bring together an interdisciplinary group of designers and researchers to discuss how to design, build, and evaluate systems to support constructive arguments online. We ask: How can online systems support conflict while sustaining and possibly strengthening interpersonal relationships? We will explore these questions in the context of a collaborative literature review across fields relevant to social computing and the psychology of conflict, paired with group discussion on how to design for disagreements.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {159},
numpages = {2},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3516386,
author = {Ahmed, Alex A.},
title = {Who Owns the Future of Work?},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3516386},
doi = {10.1145/3491101.3516386},
abstract = {This submission is intended to start a critical conversation about the ”Future of Work.” I expose the ideological commitments of major funders of research into this area, such as the NSF and private think tanks, because they shape narratives on work and worker organizing as well as the course of technology development more broadly. In the research itself, workers may be invited to participate in computing research, but they seldom determine the goals of projects nor do they own the results. Ultimately, while government agencies and nonprofit organizations claim to seek improved conditions for workers, the knowledge and technologies produced through this research serve primarily to undermine the power of working class people and their unions.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {3},
numpages = {6},
keywords = {future of work, unions, labor organizing},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3516383,
author = {Kender, Kay and Spiel, Katta},
title = {FaceSavr™: Designing Technologies with Allistic Adults to Battle Emotion Echolalia},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3516383},
doi = {10.1145/3491101.3516383},
abstract = {Emotional self-reliance is a key factor in psychological well-being. Individuals with Allism Spectrum Disorder often face challenges in interpersonal communication and social settings. Especially experiences of emotion echolalia, the mirroring of others’ emotions, can cause not only impairment in communication and relationships with others, but significant emotional distress, putting the mental well-being of allistic people at risk. In this paper, we report on the design of FaceSavr™, a digital textile protective system against emotion echolalia, and describe our participatory design process with seven allistic adults.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {14},
numpages = {8},
keywords = {Emotion Echolalia, Participatory Design, Allism, Textiles},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3514486,
author = {M. Dennis, Rachel and N. Najjar, Dania and J. Haak, Melody and C. Miller, Rachel},
title = {VolunteerSpot: Helping Connect Organizations in Need of Help with Those Seeking to Give.},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3514486},
doi = {10.1145/3491101.3514486},
abstract = {Gratitude, according to Oxford Language, is “the quality of being thankful; readiness to show appreciation for and to return kindness.” One way to express gratitude is through community service, however, we found that high school and college students find it difficult to access service opportunities, especially when busy with school and other extracurricular activities. After completing eight in-depth interviews, we found students had difficulty in finding opportunities that sparked their interest, contacting organizations, as well as keeping track of their hours for organizations such as service clubs or college Greek life. To solve these problems for students, we created VolunteerSpot: an app that allows high school and college students to easily find service opportunities at the tip of their finger. VolunteerSpot utilizes an interface for volunteers, where they can filter through service opportunities by category, and an interface for organizations, who can post job opportunities. The app employs a messaging feature for communication between groups, a review widget, and can filter service opportunities by category and proximity to the user. We hope that by creating VolunteerSpot, students can use our app to give back to their community and express gratitude in an easy and interactive way.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {484},
numpages = {6},
keywords = {student, volunteering, communication, user-centered design, Gratitude},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3503819,
author = {Escarce Junior, M\'{a}rio},
title = {Meta-Interactivity and Playful Approaches for Musical Composition},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3503819},
doi = {10.1145/3491101.3503819},
abstract = {The concept of gamified interactive models and its novel extensions, such as playification, has been widely approached in order to engage users in many fields. In fields such as HCI and AI, however, these approaches were not yet employed for supporting users to create different forms of artworks, like a musical corpus. While allowing novel forms of interactivity with partially-autonomous systems, these techniques could also foster the emergence of artworks not limited to experts. Hence, in this research we introduce the concept of meta-interactivity for compositional interfaces, which extends an individual’s capabilities by the translation of an effort into a proficiency. We study how this approach can be effective through the development of novel systems that enables novices to compose coherent musical pieces through the use of imagetic elements in a virtual environment.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {58},
numpages = {4},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3503814,
author = {Natalie, Rosiana},
title = {Cost-Effective and Collaborative Methods to Author Video’s Scene Description for Blind People.},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3503814},
doi = {10.1145/3491101.3503814},
abstract = {The majority of online video content remains inaccessible for blind people due to the lack of audio descriptions. Content creators have traditionally relied on professionals to author audio descriptions, but their service is costly and not readily available. In this research, I introduce four threads of research that I will conduct for my Ph.D. dissertation, aimed to create methods and tools that are both time- and cost-effective in providing good quality audio descriptions. They are: (i) The development and evaluation of mixed-ability collaboration authoring tool, (ii) The formative study to uncover the feedback pattern from the reviewer, (iii) the evaluation and generation of real-time supports for novice authors to write AD, and (iv) the design, development, and evaluation of a system that demonstrate the utility of semi-automatically authoring AD. I believe these four research threads help me to uncover a cheaper solution to generate audio description. Hence, motivating the content creator to include this accessibility feature in the video production process and making the existing and upcoming videos accessible.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {59},
numpages = {5},
keywords = {Audio Description, video accessibility, visual impairment, collaborative writing},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3503812,
author = {Hostettler, Damian},
title = {Increasing the Acceptance of Industrial Robots by Adapting Movement Behavior to Individual User Differences},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3503812},
doi = {10.1145/3491101.3503812},
abstract = {Machines, computers, and robots play an increasingly important role in our personal and professional lives. In manufacturing industries, the direct physical collaboration between workers and robots is already reality today. To understand how humans perceive this collaboration, investigations regarding the effect of different robot behaviors and the characteristics that influence the perception by humans are required. Existing findings on the effect of human attributes and human-like appearance of robots point out several possibilities that improve interactions between humans and robots. However, these studies predominantly focus on humanoid robots. With regard to the increasing number of industrial robots and the arising economic potential of automation, the objective of my research is to gain in-depth understanding of human perception of robot movement behaviors. Achieving this requires insights on possible and perceptible robot behaviors in the non-humanoid field, how they are perceived and how they can be mapped to acceptance by humans. Based on this understanding, resulting interactions can be improved by adapting relevant behavior to the individual’s preferences. In view of new technologies and possibilities, it might even be possible to use real time data to classify humans and let robots adapt their behavior automatically.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {69},
numpages = {6},
keywords = {Industrial Robot, Movement Behavior, HRI, Acceptance, Human-Likeness},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3503804,
author = {Elbeleidy, Saad},
title = {Improving Teleoperation Interfaces to Support Therapists in Robot-Assisted Therapy},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3503804},
doi = {10.1145/3491101.3503804},
abstract = {Socially assistive robots (SARs) receive significant research attention due to their positive impact across many contexts. For example, studies have shown that autistic children are receptive to SARs in therapy, and achieve similar learning outcomes compared to human-delivered therapy. Given the sensitive nature of therapy and the current state of autonomous robots, however, SARs are in practice teleoperated by a therapist who controls their motion and dialogue. This presents an opportunity to produce more effective SAR teleoperation interfaces in the context of therapy for autistic children. In this paper, I outline research for improving teleoperation interfaces of SARs through (1) analyzing current teleoperation usage, (2) interviewing teleoperators about their needs, and (3) implementing and evaluating varied designs for teleoperation interfaces.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {65},
numpages = {4},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3503802,
author = {Berger, Melanie},
title = {Social Control Interaction Framework: Design to Technically Support a Group of Users in Making Control Decisions Together},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3503802},
doi = {10.1145/3491101.3503802},
abstract = {Entertainment is enjoyable and helps people to feel socially connected with others. However, the control of entertainment applications in group situations is often restricted to one person. This especially limits group decision-making where people sit in close proximity such as in the living room or inside a car. Restricting users in group decision-making can cause interpersonal conflicts and frustration. To overcome these aspects, my PhD research aims to articulate design principles to support social control. I specifically focus on distributing control across group members to support collaborative group decision-making and enhance social connectedness. To achieve this, I will design entertainment-oriented social control services for the car and the living room. Based on the exploration and designs for the car domain, I will transfer the gained knowledge to the living room, to verify and generalize my findings. This should support in drawing an overall conclusion for the design of general social control entertainment services. Thus, my dissertation contributes to the understanding of the design for future, entertainment-oriented, distributed control systems to best support group collaboration.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {56},
numpages = {6},
keywords = {distributed control, automotive, Social control, smart home, decision making, entertainment services, social connectedness, interactive system, collaboration},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3503743,
author = {Marky, Karola and Kilian, Annika and Wei\ss{}, Andreas and Karolus, Jakob and Hoppe, Matthias and Wozniak, Pawel W. and M\"{u}hlh\"{a}user, Max and Kosch, Thomas},
title = {Intelligent Music Interfaces: When Interactive Assistance and Augmentation Meet Musical Instruments},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3503743},
doi = {10.1145/3491101.3503743},
abstract = {The interactive augmentation of musical instruments to foster self-expressiveness and learning has a rich history. Over the past decades, the incorporation of interactive technologies into musical instruments emerged into a new research field requiring strong collaboration between different disciplines. The workshop ”Intelligent Music Interfaces” consequently covers a wide range of musical research subjects and directions, including (a) current challenges in musical learning, (b) prototyping for improvements, (c) new means of musical expression, and (d) evaluation of the solutions.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {84},
numpages = {4},
keywords = {Music Interfaces, Musical Instruments, Artistic Performance, Augmented Instruments, Self-Expression},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3503727,
author = {Ehsan, Upol and Wintersberger, Philipp and Liao, Q. Vera and Watkins, Elizabeth Anne and Manger, Carina and Daum\'{e} III, Hal and Riener, Andreas and Riedl, Mark O},
title = {Human-Centered Explainable AI (HCXAI): Beyond Opening the Black-Box of AI},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3503727},
doi = {10.1145/3491101.3503727},
abstract = {Explainability of AI systems is crucial to hold them accountable because they are increasingly becoming consequential in our lives by powering high-stakes decisions in domains like healthcare and law. When it comes to Explainable AI (XAI), understanding who interacts with the black-box of AI is just as important as “opening” it, if not more. Yet the discourse of XAI has been predominantly centered around the black-box, suffering from deficiencies in meeting user needs and exacerbating issues of algorithmic opacity. To address these issues, researchers have called for human-centered approaches to XAI. In this second CHI workshop on Human-centered XAI (HCXAI), we build on the success of the first installment from CHI 2021 to expand the conversation around XAI. We chart the domain and shape the HCXAI discourse with reflective discussions from diverse stakeholders. The goal of the second installment is to go beyond the black box and examine how human-centered perspectives in XAI can be operationalized at the conceptual, methodological, and technical levels. Encouraging holistic (historical, sociological, and technical) approaches, we put an emphasis on “operationalizing”, aiming to produce actionable frameworks, transferable evaluation methods, concrete design guidelines, and articulate a coordinated research agenda for XAI.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {109},
numpages = {7},
keywords = {Interpretable Machine Learning, Algorithmic Fairness, Responsible AI, Artificial Intelligence, Trust in Automation, Interpretability, Explainable Artificial Intelligence},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3503724,
author = {Pine, Kathleen and Bossen, Claus and Holten M\o{}ller, Naja and Miceli, Milagros and Lu, Alex Jiahong and Chen, Yunan and Horgan, Leah and Su, Zhaoyuan and Neff, Gina and Mazmanian, Melissa},
title = {Investigating Data Work Across Domains: New Perspectives on the Work of Creating Data},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3503724},
doi = {10.1145/3491101.3503724},
abstract = {In the wake of the hype around big data, artificial intelligence, and “data-drivenness,” much attention has been paid to developing novel tools to capitalize upon the deluge of data being recorded and gathered automatically through IT systems. While much of this literature tends to overlook the data itself—sometimes even characterizing it as “data exhaust” that is readily available to be fed into algorithms, which will unlock the insights held within it—a growing body of literature has recently been directed at the (often intensive and skillful) work that goes into creating, collecting, managing, curating, analyzing, interpreting, and communicating data. These investigations detail the practices and processes involved in making data useful and meaningful so that aims of becoming ‘data-driven’ or ‘data-informed’ can become real. Further, In some cases, increased demands for data work have led to the formation of new occupations, whereas at other times data work has been added to the task portfolios of existing occupations and professions, occasionally affecting their core identity. Thus, the evolving forms of data work are requiring individual and organizational resources, new and re-tooled practices and tools, development of new competences and skills, and creation of new functions and roles. While differences exist across the global North and the global South experience of data work, such factors of data production remain paramount even as they exist largely for the benefit of the data-driven system [21, 32]. This one-day workshop will investigate existing and emerging tasks of data work. Further, participants will seek to understand data work as it impacts: individual data workers; occupations tasked with data work (existing and emerging); organizations (e.g. changing their skill-mix and infrastructuring to support data work); and teaching institutions (grappling with incorporation of data work into educational programs). Participants are required to submit a position paper or a case study drawn from their research to be reviewed and accepted by the organizing committee (submissions should be up to four pages in length). Upon acceptance, participants will read each other's paper, prepare to shortly present and respond to comments by two discussants and other participants. Subsequently, the workshop will focus on developing a set of core processes and tasks as well as an outline of a research agenda for a CHI-perspective on data work in the coming years.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {87},
numpages = {6},
keywords = {Data-Driven, Data Work, Occupations, Labor, Datafication},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3503722,
author = {Sturdee, Miriam and Lewis, Makayla and Gamboa, Mafalda and Hoang, Thuong and Miers, John and \v{S}morgun, Ilja and Jain, Pranjal and Strohmayer, Angelika and Fdili Alaoui, Sarah and Wodtke, Christina R},
title = {The State of the (CHI)Art},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3503722},
doi = {10.1145/3491101.3503722},
abstract = {We are all researchers, practitioners, and educators – but many of us are also artists, makers, curators. Our arts practice is part of what makes up our sense of self, but also influences our interests and directions in digital and technological enquiry. There exist spaces where the traditional lives alongside the computational, or where the two are blended, no less valid in purpose or value. We seek to investigate this liminal environment, and explore the current state of art in HCI, computer science and other related fields, shifting boundaries as to what ”art” is in these spaces. By bringing together like-minded and creative individuals, this workshop aims to both inspire and legitimise our diverse practices, present viewpoints, create meaningful outputs, host discussions, and work toward the future of this plurality.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {104},
numpages = {6},
keywords = {sketching, painting, sewing, comics, dance, making, art, craft, photography, drawing},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3503717,
author = {S\o{}ndergaard, Marie Louise Juul and Kannabiran, Gopinaath and Chopra, Simran and Campo Woytuk, Nadia and Gamage, Dilrukshi and Alabdulqader, Ebtisam and McKinnon, Heather and Winschiers-Theophilus, Heike and Bardzell, Shaowen},
title = {Feminist Voices about Ecological Issues in HCI},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3503717},
doi = {10.1145/3491101.3503717},
abstract = {Even though issues such as climate change, pollution, and declining biodiversity impact us all, people with historically disenfranchised and socio-politically marginalized (HDSM) identities often bear the harsher brunt of ecological crises and suffer disproportionately. There is a need for listening to the voices of people with intersecting HDSM identities in relation to feminist engagements with ecological issues as applicable to HCI and IxD research and practice. Building upon and braiding together two thriving HCI discourses on feminism and environmental sustainability, we invite submissions from researchers, designers, educators, and activists interested in the intersections of feminist and ecological issues with a priority towards the well-being of people with HDSM identities. Converging feminist concerns on power, voice, and public discourse through this online workshop distributed across three time-zones, we hope to provide a forum for contemporary feminist voices as agents of change while engaging with ecological issues through an intersectional feminist orientation.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {90},
numpages = {7},
keywords = {marginalization, sustainability, voice, Feminism, ecology},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3503571,
author = {Krop, Philipp and Straka, Samantha and Ullrich, Melanie and Ertl, Maximilian and Latoschik, Marc Erich},
title = {IT-Supported Request Management for Clinical Radiology: Contextual Design and Remote Prototype Testing},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3503571},
doi = {10.1145/3491101.3503571},
abstract = {Management of radiology requests in larger clinical contexts is characterized by a complex and distributed workflow. In our partner hospital, representing many similar clinics, these processes often still rely on exchanging physical papers and forms, making patient or case data challenging to access. This often leads to phone calls with long waiting queues, which are time-inefficient and result in frequent interrupts. We report on a user-centered design approach based on Rapid Contextual Design with an additional focus group to optimize and iteratively develop a new workflow. Participants found our prototypes fast and intuitive, the design clean and consistent, relevant information easy to access, and the request process fast and easy. Due to the COVID pandemic, we switched to remote prototype testing, which yielded equally good feedback and increased the participation rate. In the end, we propose best practices for remote prototype testing in hospitals with complex and distributed workflows.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {45},
numpages = {8},
keywords = {Rapid Contextual Design, HCI, User-Centered Design, Remote Testing, Prototyping, Radiology},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519909,
author = {Mendel, Tamir and Toch, Eran},
title = {Meerkat: A Social Community Support Application for Older Adults},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519909},
doi = {10.1145/3491101.3519909},
abstract = {Meerkat is a social support app that helps older adults tackle hurdles in interacting with mobile applications by receiving contextual support from friends and family or community volunteers. The app allows users to describe the interaction issue, capture a screenshot, draw, and write queries to helpers who can provide understandable explanations. Meerkat is informed by theories of collective efficacy and aims to reduce the barriers to existing social networks. Given COVID-19 social distancing measures, the design of Meerkat adapts patterns of peer support to situations where the users are not co-located. To users who do not have available social support, the app provides a foundation to receive support from a community of volunteers who are social connections to other users. Meerkat also includes a practice mode, facilitating social learning by presenting users with mobile tasks. We conclude with how Meerkat can contribute to collective and individual efficacy.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {177},
numpages = {4},
keywords = {help, older adults, Peer support, mobile application, social support},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519908,
author = {Shim, Youngbo Aram and Kim, Taejun and Lee, Geehyuk},
title = {QuadStretch: A Forearm-Wearable Multi-Dimensional Skin Stretch Display for Immersive VR Haptic Feedback},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519908},
doi = {10.1145/3491101.3519908},
abstract = {This demonstration presents QuadStretch, a multidimensional skin stretch display that is worn on the forearm for VR interaction. QuadStretch realizes a light and flexible form factor without a large frame that grounds the device on the arm and provides rich haptic feedback through high expressive performance of stretch modality and various stimulation sites around the forearm. In the demonstration, the presenter lets participants experience six VR interaction scenarios with QuadStretch feedback: Boxing, Pistol, Archery, Slingshot, Wings, and Climbing. In each scenario, the user’s actions are mapped to the skin stretch parameters and fed back, allowing users to experience QuadStretch’s large output space that enables an immersive VR experience.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {202},
numpages = {4},
keywords = {Virtual reality, Wearable haptic display, Skin stretch display},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519906,
author = {Sakura, Rei and Han, Changyo and Watanabe, Keisuke and Yamamura, Ryosuke and Kakehi, Yasuaki},
title = {Design of 3D-Printed Soft Sensors for Wire Management and Customized Softness},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519906},
doi = {10.1145/3491101.3519906},
abstract = {Although the interaction capability of soft sensors has been explored in the field of HCI, they are found to have limitations in shape, wiring management, and softness due to the characteristics of the material. In this paper, we propose a design of 3D-printed resistive soft sensors that can detect deformation by creating internal lattice structures with flexible conductive materials. The magnitude of deformation can be detected by measuring the resistance between a pair of electrodes. By adjusting the parameters of the lattice structure, a soft sensor with high flexibility of shape design and adjustable local softness can be realized. In addition, by inserting non-conductive structures into the sensor structure, external wires can be consolidated in one place. We present a design and fabrication pipeline, and investigate the fundamental characteristics of several patterns of sensors. We also show several applications that demonstrate the feasibility of the proposed method.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {192},
numpages = {5},
keywords = {3D printing, deformable user interfaces, fabrication, soft sensor},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519903,
author = {Han, Yoon Chung and Khanduja, Amanbeer},
title = {The Future is Red: Visualizing Wildfire Predictions Using Contactless Interaction},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519903},
doi = {10.1145/3491101.3519903},
abstract = {This paper presents our approach for visualizing, sonifying, and predicting wildfire in the near future and contactless interaction. We provide an interaction tool to depict the causes and results of the wildfire and promote awareness of the environmental issues by giving forecasting results of the wildfire to the audience. Multimodal interaction allows the audience to dynamically experience the changes of the wildfire over time in two representative locations. (California, United States, and South Korea) The interactive multimodal data visualization and sonification depict the past, present, and future of the wildfire. This data-driven design was installed in an art gallery and presented to audience members. Contactless user interaction with Leap Motion cameras was used during the pandemic period for hygienic interaction. In this paper, we describe the design process and how this interface was developed based on environmental issues, and informal user responses from the art gallery setup are discussed.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {205},
numpages = {5},
keywords = {machine learning, data sonification, wildfire, predictive analysis, data visualization, contactless interaction},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519902,
author = {Yoshimura, Kazumi},
title = {KaraokeVUI: Utilizing Karaoke Subtitles for Voice User Interfaces to Navigate Users What They Would Say},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519902},
doi = {10.1145/3491101.3519902},
abstract = {Voice user interfaces (VUIs) have the problems in discoverability and learnability. Conventional VUIs tried to solve these problems by listing voice commands for using features on the screen of devices in combination with GUIs. However, with these VUI help tools, it is difficult to know how accurately the commands must be spoken and to determine whether the target operation is being executed if the words are rephrased or spoken incorrectly during speaking. Therefore, users are too preoccupied with speaking phrases correctly, and the advantage of VUIs, which can be used without awareness of the operation method, has not been fully demonstrated. To address these issues, we propose KaraokeVUI, which is a VUI help tool for supporting voice operation with feedback by displaying spoken words through filling in the blanks or overlaying on phrases, just like on a karaoke screen. In this paper, we evaluate and verify KaraokeVUI usefulness and usability.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {209},
numpages = {4},
keywords = {user experience, accessibility, Voice user interfaces},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519896,
author = {Twomey, Robert and Sharkey, Tommy and Wood, Timothy and Eguchi, Amy and Sweet, Monica and Choon Wu, Ying},
title = {An Immersive Environment for Embodied Code},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519896},
doi = {10.1145/3491101.3519896},
abstract = {The increasing sophistication and availability of Augmented and Virtual Reality (AR/VR) technologies wield the potential to transform how we teach and learn computational concepts and coding. This project develops a platform for creative coding in virtual and augmented reality. The Embodied Coding Environment (ECE) is a flow-based visual coding system designed to increase physical engagement with programming and lower the barrier to entry for novice programmers. It is conceptualized as a merged digital/physical workspace where spatial representation of code, the visual outputs of the code, and user interactions and edit histories are co-located in a virtual 3D space.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {197},
numpages = {4},
keywords = {extended reality, embodied cognition, programming tools, visual programming languages},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519868,
author = {Goldenberg, Yulia and Tractinsky, Noam},
title = {Prioritizing UI Items for Bidirectional Design System Development: A Suggested Set of Criteria and Its Implementation},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519868},
doi = {10.1145/3491101.3519868},
abstract = {Design systems provide detailed guidelines on UI items’ appearance and behavior and serve as a primary reference for interface development. For bidirectional languages (e.g., Arabic and Hebrew), it is essential to highlight an additional parameter – the direction of the UI item. However, investigating the correct direction of all items could involve costly research. Hence, it is important to set priorities for such research. While prioritizing usability issues has long been attended by the HCI community, the specific problem of this research is new and has never been addressed. To deal with this challenge, we conducted five focus groups with HCI professionals and identified a set of prioritization criteria. We then used those criteria to prioritize the UI items for future empirical evaluation of their preferred directionality. In addition to these findings, we provide some insights from our experience of using focus groups for the prioritization task.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {340},
numpages = {8},
keywords = {BiDi, Usability Prioritization, Focus Group, Bidirectional design, UI item direction, Design system},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519865,
author = {Lord, Carolynne and Bates, Oliver and Friday, Adrian},
title = {Critical Incident Technique and Gig-Economy Work (Deliveroo): Working with and Challenging Assumptions around Algorithms},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519865},
doi = {10.1145/3491101.3519865},
abstract = {Decision-making algorithms can be obscure and fast-moving. This is especially the case in the context of the algorithm that mediates the work of Deliveroo riders. Forming a critical part of the food delivery platform, the algorithm’s obscurity and shifting nature is a part of its design. In this paper we argue that adapting usability techniques like the Critical Incident Technique (CIT) may provide one way to better understand algorithms and platform work. Though there are many methods to understand algorithms like this, asking people about negative or positive interactions with them and what they think provoked them can produce fruitful avenues for HCI research into the impacts of platforms on gig-economy work. We argue that despite the results being an assumption, assumptions from the algorithmically managed are interesting materials to challenge the researchers’ own assumptions about their context, and to, therefore, better scope out contexts and iterate future research.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {258},
numpages = {6},
keywords = {Critical Incident Technique, algorithms, incidents, workers, couriers, gig-economy},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519856,
author = {Wolf, Sara and Moerike, Frauke and Luthe, Simon and Nord, Ilona and Hurtienne, J\"{o}rn},
title = {Spirituality at the Breakfast Table: Experiences of Christian Online Worship Services},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519856},
doi = {10.1145/3491101.3519856},
abstract = {Since the COVID-19 pandemics, we have witnessed an increase in online worship services. Nevertheless, HCI has little insight into how technological mediation influences religious experiences and how technology should be designed for use in religious contexts. Therefore, we see a unique opportunity to understand better real-world experiences of technology use in religious rituals and, more specifically, in online worship services. Inspired by contextual design, We virtually observed and interviewed eight persons during and after participation in online worship services. We identified a field of tension between faith, everyday life, individuality, and community. The data suggests that current online worship service systems do not account for believers’ needs for community, faith, or extraordinariness. We discuss opportunities for future research and design, and aim to contribute to the understanding of online worship service experiences and the design of technology-mediated religious experiences.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {316},
numpages = {7},
keywords = {faith, Religion, spirituality, extraordinary, ritual, community, prayer},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519843,
author = {Zargham, Nima and Alexandrovsky, Dmitry and Erich, Jan and Wenig, Nina and Malaka, Rainer},
title = {“I Want It That Way”: Exploring Users’ Customization and Personalization Preferences for Home Assistants},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519843},
doi = {10.1145/3491101.3519843},
abstract = {Home assistants are becoming a widespread product, but they mostly come as a compact device and offer very few customization and personalization features, which often leads to dissatisfaction. With the technological advancements, these systems are becoming more adaptable to the users’ needs and can better imitate a human personality. To achieve that efficiently, understanding how different users envision their desired assistant is crucial. To identify people’s customization and personalization preferences and their desired personality for a home assistant, we designed a set of storyboards depicting a variety of possible features in a domestic setting and conducted a user study (), including a series of semi-structured interviews. Our quantitative results suggest that users prefer an agent which is highly agreeable and has higher conscientiousness and emotional stability. Furthermore, we discuss users’ customization and personalization preferences for a home assistant, which could be considered when designing the future generation of home assistants.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {270},
numpages = {8},
keywords = {Big Five, Personalization, Personality, Customization, Voice Assistants, Home Assistants},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519840,
author = {Lewis, Robert and Ferguson, Craig and Wilks, Chelsey and Jones, Noah and Picard, Rosalind W.},
title = {Can a Recommender System Support Treatment Personalisation in Digital Mental Health Therapy? A Quantitative Feasibility Assessment Using Data from a Behavioural Activation Therapy App},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519840},
doi = {10.1145/3491101.3519840},
abstract = {Recommender systems have the potential to improve the user experience of digital mental health apps. Personalised recommendations can help users to identify therapy tasks that they find most enjoyable or helpful, thus boosting their engagement with the service and optimising the extent to which it helps them to feel better. Using a dataset containing 23,476 ratings collected from 973 players of a mental health therapy game, this work demonstrates how collaborative filtering algorithms can predict how much a user will benefit from a new therapy task with greater accuracy than a simpler baseline algorithm that predicts the average rating for a task, adjusted for the biases of the specific user and specific task. Collaborative filtering algorithms (matrix factorisation and k-nearest neighbour) outperform this baseline with a 6.5-8.3% improvement in mean absolute error (MAE) and context-aware collaborative filtering algorithms (factorisation machines) outperform with a 7.8-8.8% improvement in MAE. These results suggest that recommender systems could be a useful tool for tailoring recommendations of new therapy tasks to a user based on a combination of their past preferences, the ratings of similar users, and their current context. This scalable approach to personalisation – which does not require a human therapist to always be in-the-loop – could play an important role in improving engagement and outcomes in digital mental health therapies.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {314},
numpages = {8},
keywords = {recommender systems, machine learning, factorisation machines, digital mental health, behavioural activation, collaborative filtering},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519839,
author = {Chen, Shih-Chu and Chang, Yen-Han and Huang, Jing-Han and Hsu, Ching-Wen and Lin, Chih-Hsuan and Kuo, Pei-Yi (Patricia)},
title = {Exploring the Effect of Emotion Awareness Intervention on Reducing FoMO},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519839},
doi = {10.1145/3491101.3519839},
abstract = {Fear of missing out (FoMO) refers to one's perception that others live a better life as well as one's desire to keep constantly linked to what others are doing via social media. Our study aims to develop an emotion awareness intervention based on the Satir Model to help people become more aware of their emotions after using Instagram through a set of reflection questions and guiding prompts. We designed and built a web-based application called Being to deliver these content in a 10-day field study. Our findings suggested that participants generally found the reflection questions helped them better perceive how they use Instagram in terms of their use habits and mental states. The combination of reflection questions and guiding prompts helped improve participants’ emotion regulation skills and enabled them to develop strategies of using less Instagram. We conclude by discussing implications for future researchers interested in developing similar interventions.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {285},
numpages = {7},
keywords = {Fear of missing out, Emotional well-being, Emotion awareness, Social media},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519828,
author = {Penha, Gustavo and Krikon, Eyal and Murdock, Vanessa and Avula, Sandeep},
title = {Helping Voice Shoppers Make Purchase Decisions},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519828},
doi = {10.1145/3491101.3519828},
abstract = {Online shoppers have a lot of information at their disposal when making a purchase decision. They can look at images of the product, read reviews, make comparisons with other products, do research online, read expert reviews, and more. Voice shopping (purchasing items via a Voice assistant such as Amazon Alexa or Google Assistant) is different. Voice introduces novel challenges as the communication channel is limited in terms of the amount of information people can and are willing to absorb. Because of this, the system should choose the single most effective nugget of information to help the customer, and present the information succinctly. In this paper we report on a within-subject user study (N = 24), in which we employed three template-based methods that use information from customer reviews, product attributes and search relevance signals to generate helpful supporting information. Our results suggest that: (1) supporting information from customer reviews significantly improves participants perception of system effectiveness (helping them make good decisions); (2) supporting information based on search relevance signals improves user perception of system transparency (providing insight into how the system works). We discuss the implications of our findings for providing supporting information for customers shopping by Voice.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {266},
numpages = {8},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519825,
author = {Dirks, Lisa and Beneteau, Erin and Sabin, Janice and Pratt, Wanda and Lane, Cezanne and Bascom, Emily and Casanova-Perez, Reggie and Rizvi, Naba and Weibel, Nadir and Hartzler, Andrea},
title = {Battling Bias in Primary Care Encounters: Informatics Designs to Support Clinicians},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519825},
doi = {10.1145/3491101.3519825},
abstract = {Although clinical training in implicit bias is essential for healthcare equity, major gaps remain both for effective educational strategies and for tools to help identify implicit bias. To understand the perspectives of clinicians on the design of these needed strategies and tools, we conducted 21 semi-structured interviews with primary care clinicians about their perspectives and design recommendations for tools to improve patient-centered communication and to help mitigate implicit bias. Participants generated three types of solutions to improve communication and raise awareness of implicit bias: digital nudges, guided reflection, and data-driven feedback. Given the nuance of implicit bias communication feedback, these findings illustrate innovative design directions for communication training strategies that clinicians may find acceptable. Improving communication skills through individual feedback designed by clinicians for clinicians has the potential to improve healthcare equity.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {386},
numpages = {9},
keywords = {clinical care communication, BIPOC, Implicit healthcare bias, LGBTQ+},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519821,
author = {Roomkham, Sirinthip and Terris, Shannon and Sitbon, Laurianne},
title = {Multi-Modal Conversational Search for People with Intellectual Disability: An Exploratory Study},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519821},
doi = {10.1145/3491101.3519821},
abstract = {Like us all, people with intellectual disability are self-motivated learning and are enthusiastic information seekers. However, there are some technical challenges for people with intellectual disability when accessing required information and interacting with conversational search systems. This paper presents the preliminary development of a simulated multi-modal conversational search system to understand its potentials and limitations for people with intellectual disability. To conduct an exploratory study, we developed a Wizard of Oz conversational multi-modal system which records user activities, including touch, text and verbal interactions. Then, we preliminary evaluated the system with eight adults with intellectual disability in one of two different information-seeking scenarios – in an individual and collaborative setting. Drawing on the findings and insights of the study, participants valued the system as it fulfilled their information retrieval needs, and it achieved an acceptable level of accessibility. These findings and future research into this topic can guide accessibility improvements to current search systems and the development of future conversational search systems.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {304},
numpages = {6},
keywords = {intellectual disability, conversational search, accessibility},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519816,
author = {Lyu, Haohua and Vachha, Cyrus and Chen, Qianyi and Pyrinis, Odysseus and Liou, Avery and Thoravi Kumaravel, Balasaravanan and Hartmann, Bjoern},
title = {WebTransceiVR: Asymmetrical Communication Between Multiple VR and Non-VR Users Online},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519816},
doi = {10.1145/3491101.3519816},
abstract = {Increasing adoption of Virtual Reality (VR) systems in various fields has created the need for collaborative work and communication. Today, asymmetric communication between a VR user and other non-VR users remains a challenge. The VR user cannot see the external non-VR users, and the non-VR users are restricted to the VR user’s first-person view. To address this, we propose WebTransceiVR, an asymmetric collaboration toolkit which when integrated into a VR application, allows multiple non-VR users to share the virtual space of the VR user. It allows external users to enter and be part of the VR application’s space through standard web browsers on mobile and computers. These external users can explore and interact with the other users, the VR scene as well as the VR user. WebTransceiVR also includes a cloud-based streaming solution that enables many passive spectators to view the scene through any of the active cameras. We conduct informal user testing to gain additional insights for future work.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {313},
numpages = {7},
keywords = {Asymmetric Communication, Virtual Reality},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519815,
author = {Liao, Jingxian and Wang, Hao-Chuan},
title = {Nudge for Reflective Mind: Understanding How Accessing Peer Concept Mapping and Commenting Affects Reflection of High-Stakes Information},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519815},
doi = {10.1145/3491101.3519815},
abstract = {Deep conceptualization and reflection of online information is essential to people’s knowledge acquisition and decision-making in high-stakes domains, such as health. Reflective thinking, however, demands extra cognitive efforts, resources and skills, and therefore could deter people from taking further steps to question information encountered online. In this paper, we proposed a digital nudging tool for supporting critical reflection of video contents based on concept mapping and peer commenting mechanisms. The proposed tool, DeepThinkingMap, aims to promote people’s understanding and reflection of video content via interface features that foster the disclosure of personal conceptualization and transparency of personal beliefs about the video. By seeing how peers conceptualize and reflect about the video content, the concepts and comments made available to people could potentially serve as a ”thinking nudge,” allowing individuals to reap in-depth thoughts about the video otherwise inaccessible to them. Through a proof-of-concept controlled evaluation, we found that seeing peer thoughts through DeepThinkingMap significantly increased content comprehension, and fostered greater efforts for reflection in comparison to the baseline of receiving no nudge. The study contributes to understanding the socio-technical-cognitive mechanisms and the design space of social nudging that may be utilized to support reflection and critical thinking toward high-stakes information.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {350},
numpages = {7},
keywords = {Nudging, Reflection, Concept mapping},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519810,
author = {Adenuga, Iyadunni J. and Hanrahan, Benjamin V. and Wu, Chen and Mitra, Prasenjit},
title = {Living Documents: Designing for User Agency over Automated Text Summarization},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519810},
doi = {10.1145/3491101.3519810},
abstract = {Text summarization is an example of a complex algorithm with a single direct input to output user operation. As different types of users e.g. students, journalists, etc. adopt these algorithms, it is imperative that user experience with text summarization AI systems is modified to allow agency. To explore this, we designed an interactive multi-document summarization system, called Living Documents, that allows agency over the summarization process. We evaluated this system in a preliminary study with 25 students identified from Prolific. The students perform summarization tasks using the control functions in our system. Results from this study show that these functions contributed to the user’s understanding of how summarization works and this understanding slightly impacts user trust in our system positively. We discuss our experience designing for user control of a normally automated, complex process that produces immutable output and the future implications for other applications.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {394},
numpages = {6},
keywords = {User Agency, Interaction Design, Text Summarization System},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519798,
author = {EL-Zanfaly, Dina and Chen, Zhenfang and Khoshoo, Amrita and Ann Arredondo, Rachel and Ngan, Isabel and Francovich, Christianne},
title = {Memory Portal: Investigating Data Meaning-Making through Spatio-Temporal Experiences},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519798},
doi = {10.1145/3491101.3519798},
abstract = {The data collected in shared spaces are usually used to understand how occupants use the space. However, these data could also inform the experience of the occupants in these spaces over time. How could we leverage spatial and temporal memories as mediators among occupants of a shared physical space? We developed Memory Portal, an interactive mirror that reflects the shadows and sounds of past occupants of a shared physical space in the present. We conducted a short user study to explore how the occupants of a shared space perceive the interactions with the reflected memories. One of our key finding is that the occupants formed a novel perspective about their actions and experience in the space through these memories. Our contributions include introducing a novel technical system and new approaches of data engagement in shared physical spaces through the visualization and sonification of memories of the presence of its occupants.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {283},
numpages = {8},
keywords = {interaction design, embodied interaction, ubiquitous computing, smart environments, Connected Home},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519790,
author = {Gao, Jie and Ying, Xiayin and Cao, Junming and Yang, Yifan and Foong, Pin Sym and Perrault, Simon},
title = {Differences of Challenges of Working from Home (WFH) between Weibo and Twitter Users during COVID-19},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519790},
doi = {10.1145/3491101.3519790},
abstract = {People face lots of challenges when working from home (WFH). In this paper, we used both LDA (Latent Dirichlet Allocation) topic modeling and qualitative analysis to analyse WFH related posts on Weibo (N=1093) and Twitter (N=907) during COVID-19. We highlighted unique differences of WFH challenges between two platforms, including long work time, family and food commitment and health concerns on Weibo; casual wearing habits on Twitter. We then provided possible guidelines from a cross-cultural perspective on how to improve the WFH experience based on these differences.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {259},
numpages = {7},
keywords = {Social media, user comparison, qualitative analysis, LDA topic modeling},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519782,
author = {Hong, Freddie and Hodges, Steve and Myant, Connor and Boyle, David E},
title = {Open5x: Accessible 5-Axis 3D Printing and Conformal Slicing},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519782},
doi = {10.1145/3491101.3519782},
abstract = {The common layer-by-layer deposition of regular, 3-axis 3D printing simplifies both the fabrication process and the 3D printer’s mechanical design. However, the resulting 3D printed objects have some unfavourable characteristics including visible layers, uneven structural strength and support material. To overcome these, researchers have employed robotic arms and multi-axis CNCs to deposit materials in conformal layers. Conformal deposition improves the quality of the 3D printed parts through support-less printing and curved layer deposition. However, such multi-axis 3D printing is inaccessible to many individuals due to high costs and technical complexities. Furthermore, the limited GUI support for conformal slicers creates an additional barrier for users. To open multi-axis 3D printing up to more makers and researchers, we present a cheap and accessible way to upgrade a regular 3D printer to 5 axes. We have also developed a GUI-based conformal slicer, integrated within a popular CAD package. Together, these deliver an accessible workflow for designing, simulating and creating conformally-printed 3D models.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {399},
numpages = {6},
keywords = {personal fabrication, democratising hardware, additive manufacturing, 5-axis 3D printing},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519781,
author = {Reen, Jaisheen Kour and Orji, Rita},
title = {Improving Mental Health Among Working-Class Indian Women: Insight From An Interview Study},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519781},
doi = {10.1145/3491101.3519781},
abstract = {Mental health applications (apps) show a good potential to help people suffering from a variety of mental illnesses. Most existing apps focus on people from developed countries. Our research contributes by focusing on underserved populations - Indian Working-Class Women. This study aims at creating a stress and anxiety management application for working-class Indian women (people who are a part of the workforce). We conducted a one-on-one interview with 31 working-class Indian women. Participants highlighted household chores and workload as major sources of stress/anxiety for them. The results also highlight several features required in mental health apps by this group including mood tracking features, social community features. Participants highlighted some concerns with existing mental health apps including privacy issues and the high fees charged for premium features. Based on our findings, we discuss design implications for future work in the field of creating interactive mHealth apps.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {343},
numpages = {6},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519776,
author = {Lee, Seung-Jun and Lee, Joon Hyub and Bae, Seok-Hyung},
title = {An Interactive Car Drawing System with Tick'n'Draw for Training Perceptual and Perspective Drawing Skills},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519776},
doi = {10.1145/3491101.3519776},
abstract = {Young children love to draw. However, at around age 10, they begin to feel that their drawings are unrealistic and give up drawing altogether. This study aims to help those who did not receive the proper training in drawing at the time and as a result remain at that level of drawing. First, through 12 drawing workshop sessions, we condensed 2 prominent art education books into 10 core drawing skills. Second, we designed and implemented a novel interactive system that helps the user repeatedly train these skills in the 5 stages of drawing a nice car in an accurate perspective. Our novel interactive technique, Tick'n'Draw, inspired by the drawing habits of experts, provides friendly guidance so that the user does not get lost in the many steps of perceptual and perspective drawing. Third, through a pilot test, we found that our system is quick to learn, easy to use, and can potentially improve real-world drawing abilities with continued use.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {463},
numpages = {7},
keywords = {perspective drawing, Perceptual drawing, interactive education},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519761,
author = {Liu, Zixiao and Yan, Shuo and Lu, Yu and Zhao, Yuetong},
title = {Generating Embodied Storytelling and Interactive Experience of China Intangible Cultural Heritage “Hua'er” in Virtual Reality},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519761},
doi = {10.1145/3491101.3519761},
abstract = {Hua'er, a type of traditional oral performance, is one of the national intangible cultural heritages (ICH) in China. Experts have been trying to enhance public's awareness of Hua'er protection through digital documentation technology, but there's no efficacious means to attract interest and popularize knowledge yet. In this paper, we propose an interactive VR system engaging audiences to experience and understand the connotation of Hua'er performance. Based on an online survey with the public and in-depth interviews with Hua'er experts, we derive a set of design requirements for generating embodied storytelling and interactive experience in VR. Accordingly, we design “Hua'er and the Youth” (HY) that integrates three methods (virtual avatar, participatory performance, and game-based knowledge acquisition) and conduct a between-subjects user study to compare HY with the Comparison system. The results suggest that our methods significantly improved audience's interactive experience, knowledge level and the awareness of ICH safeguarding.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {439},
numpages = {7},
keywords = {Hua'er, game-based knowledge acquisition, Virtual reality, intangible cultural heritage, embodied storytelling},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519760,
author = {Kumar, Harsh and Agrawaal, Taneea S and Choy, Kwan Kiu and Shi, Jiakai and Williams, Joseph Jay},
title = {“Sounds like a Cheesy Radio Ad”: Using User Perspectives for Enhancing Digital COVID Vaccine Communication Strategies for Public Health Agencies},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519760},
doi = {10.1145/3491101.3519760},
abstract = {The World Health Organization (WHO) and other public health agencies have identified vaccine hesitancy as a critical challenge in reducing future cases and deaths from COVID-19. The current study has investigated ways to improve a widely circulated vaccine infographic video by Centers for Disease Control and Prevention. After gathering qualitative feedback on properties of the message that could be improved (from online crowdworkers), we conducted a randomized experiment to investigate different combinations of these attributes. Our results suggest participants were more likely to share the video which was: (1) played more slowly; (2) had a female speaker; (3) did not have background music. The study demonstrates potential of user studies for improving existing communication strategies for encouraging vaccinations and alleviating vaccine hesitancy on social media platforms. Our contribution also includes a repository of messages to encourage vaccination, generated by online crowdworkers, which could be utilized by future studies.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {288},
numpages = {7},
keywords = {public health, digital communication, social media, vaccine hesitancy},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519754,
author = {Idan, Lihi},
title = {A Network-Based, Multidisciplinary Approach to Intention Inference},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519754},
doi = {10.1145/3491101.3519754},
abstract = {The ability to successfully infer private behavioral intentions using publicly-available digital records has a far-reaching impact. Unlike other private attributes such as demographic attributes, an intention oftentimes leads to a near-future behavior. Prior knowledge about such future behaviors can be seen as “actionable intelligence” and constitutes a significantly bigger risk to users’ privacy than knowledge of non-behavioral attributes. In this paper, we present a novel, multidisciplinary methodology for behavioral-intention inference. Using Bayesian-Networks, we model a behavioral intention using a set of causes that influence the intention’s formation, a set of effects that are caused by the intention, and various dependency relations within and between those sets. Unlike the methodologies used in prior attribute-inference works, which are oftentimes tailored to a single target attribute, our methods can be applied to different types of intentions from a diverse set of domains as we demonstrate by applying our model to multiple real-world intention-inference tasks.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {381},
numpages = {7},
keywords = {Bayesian Networks, attribute inference, social networks},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519753,
author = {Schirra, Steven and Narasimha, Shraddhaa and Volkov, Sasha and Owens, Justin},
title = {Understanding User Mental Models Through App Sketches from Memory},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519753},
doi = {10.1145/3491101.3519753},
abstract = {User-generated sketches serve as a powerful lens for understanding users’ mental models of apps and services. Inspired by research on hand-drawn maps of cities, we conducted an exploratory study in which 123 participants drew the interface of a popular mobile app from memory. An analysis of the resulting sketches highlights that these types of artifacts can be used to understand which elements are most central to users’ understanding of the app's core features and architecture—including non-existent features from other apps and services. We discuss how this work can be applied to the design of mobile apps and describe areas of future research.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {418},
numpages = {6},
keywords = {user study, mental models, sketching, memory, information architecture, drawing},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519747,
author = {Barbareschi, Giulia and Wu, Zhouzhe},
title = {Accessing Intimate Interactions: Investigating the Need for More Inclusive Sex Education Resources},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519747},
doi = {10.1145/3491101.3519747},
abstract = {Misconceptions surrounding disability and sexuality are still prevalent and people with disabilities are often depicted as asexual and incapable to lead fulfilling sex lives. As a result, many individuals with disabilities struggle to access adequate sex education with negative consequences such as unplanned pregnancies, body image issues and sexual exploitation. To explore needs and practices for accessing relevant and reliable information about disability and sexuality, we conducted semi-structured interviews with 5 participants. Results show that there are several topics which participants thought should be better explored in the context of disability and sexuality, but most available sex education resources are not inclusive. Moreover, people with disabilities, especially when young or less used to self-advocate for their own needs, face difficulties engaging in meaningful conversations around sexuality. Based on the results of our research, we make recommendations for areas where HCI research could significantly contribute to make intimate interactions more accessible.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {451},
numpages = {6},
keywords = {Sexuality, Intimacy, Sex Education, Disability},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519734,
author = {Ntouvaleti, Maria and Katsanos, Christos},
title = {Validity of the Open Card Sorting Method for Producing Website Information Structures},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519734},
doi = {10.1145/3491101.3519734},
abstract = {When it comes to creating website information structures, open card sorting is the main approach used. However, scientific research for the method's validity is lacking. This paper explores the validity of open card sorting for website structural design. To this end, participants first performed an open card sort for the redesign of a website with usability issues in its information structure. Next, a within-subjects user testing study was performed to compare two functional prototypes that differed only in their structure: one replicated the existing website structure, whereas the other implemented the structure produced by card sort data analysis. Results showed that participants using the redesigned structure had significantly better usability metrics (first click success rate, task time, SEQ score and SUS score) compared to when interacting with the existing structure. These findings provide support for the validity of the open card sorting method for the design of website information structures.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {374},
numpages = {7},
keywords = {Validity, Card sorting, Information architecture, Method evaluation},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519716,
author = {Giocondo, Flora and Faedda, Noemi and Cavalli, Gioia and Sperati, Valerio and Ozcan, Beste and Giovannone, Federica and Sogos, Carla and Guidetti, Vincenzo and Baldassarre, Gianluca},
title = {Leveraging Curiosity to Encourage Social Interactions in Children with Autism Spectrum Disorder: Preliminary Results Using the Interactive Toy PlusMe},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519716},
doi = {10.1145/3491101.3519716},
abstract = {Autism Spectrum Disorder (ASD) is a set of neurodevelopmental conditions, often characterised by important impairments in the social area. In the context of early intervention, we present preliminary results about the social behaviour of children with ASD using PlusMe as an experimental interactive toy, which is the first prototype of Transitional Wearable Companions concept. Specifically, PlusMe is designed to stimulate the children’s curiosity and encourage behaviour on the basis of social interaction. The pilot test involved five high-functioning children, mean age 41 months, range 36-50 months. The participants were engaged in play activities together with the PlusMe toy and two researchers who aimed to encourage the children’s social behaviour such as imitation and eye contact; the activities were repeated for four sessions (one per week). Although it is an ongoing study on a larger sample, the first data analysis is promising, preliminary observations seem to demonstrate that PlusMe can be used to improve some social behaviour such as eye contact, imitation, the interaction between two people.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {273},
numpages = {7},
keywords = {therapy, ASD, early intervention, Transitional Wearable Companion, PlusMe toy, social behaviour., autism},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519712,
author = {Wang, Ran and Du, Kehan and Chen, Qianhe and Zhao, Yifei and Tang, Mojie and Tao, Hongxi and Wang, Shipan and Li, Yiyao and Wang, Yong},
title = {RumorLens: Interactive Analysis and Validation of Suspected Rumors on Social Media},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519712},
doi = {10.1145/3491101.3519712},
abstract = {With the development of social media, various rumors can be easily spread on the Internet and such rumors can have serious negative effects on society. Thus, it has become a critical task for social media platforms to deal with suspected rumors. However, due to the lack of effective tools, it is often difficult for platform administrators to analyze and validate rumors from a large volume of information on a social media platform efficiently. We have worked closely with social media platform administrators for four months to summarize their requirements of identifying and analyzing rumors, and further proposed an interactive visual analytics system, RumorLens, to help them deal with the rumor efficiently and gain an in-depth understanding of the patterns of rumor spreading. RumorLens integrates natural language processing (NLP) and other data processing techniques with visualization techniques to facilitate interactive analysis and validation of suspected rumors. We propose well-coordinated visualizations to provide users with three levels of details of suspected rumors: an overview displays both spatial distribution and temporal evolution of suspected rumors; a projection view leverages a metaphor-based glyph to represent each suspected rumor and further enable users to gain a quick understanding of their overall characteristics and similarity with each other; a propagation view visualizes the dynamic spreading details of a suspected rumor with a novel circular visualization design, and facilitates interactive analysis and validation of rumors in a compact manner. By using a real-world dataset collected from Sina Weibo, one case study with a domain expert is conducted to evaluate RumorLens. The results demonstrated the usefulness and effectiveness of our approach.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {232},
numpages = {7},
keywords = {Propagation View, Social Media, Visualization Design, Circular Design., Human-Computer Collaboration, Feature Projection, Location Distribution, Suspected Rumor, Topic Evolution},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519701,
author = {Colley, Mark and Kr\"{a}nzle, Taras and Rukzio, Enrico},
title = {Accessibility-Related Publication Distribution in HCI Based on a Meta-Analysis},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519701},
doi = {10.1145/3491101.3519701},
abstract = {Accessibility research aims to aid humans that experience minor or major disabilities and conditions. However, researchers might have limited exposure to certain disabilities, therefore, focus on those prevalent in their own lives. This work presents a script-based meta-analysis on addressed populations in accessibility research published on top Human-Computer Interaction (HCI) venues (3617 full papers). We categorize the publications regarding the involved people and their disabilities. We found that work on vision disability makes up for almost one third (28.85%) of the work published in general HCI. In light of these findings, we present possible conference- and funding-related explanatory approaches and argue that disability research could more reflect the prevalence of disabilities in the world.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {299},
numpages = {28},
keywords = {Accessibility, survey., overview},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519696,
author = {Bajorunaite, Laura and Brewster, Stephen and R. Williamson, Julie},
title = {“Reality Anchors”: Bringing Cues from Reality into VR on Public Transport to Alleviate Safety and Comfort Concerns},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519696},
doi = {10.1145/3491101.3519696},
abstract = {Virtual Reality (VR) headsets have the unique capability to create private virtual content anywhere around the user, going beyond the capacities of traditional devices, but are not widely used while travelling, due to safety and comfort concerns. Showing objects from reality - "Reality Anchors" - could help reduce these concerns. We present a user study (N=20) that investigates how the use of real-world cues and different VR environments affect users’ feelings of safety, social acceptability, awareness, presence, escapism and immersion, which are key barriers to VR adoption. Our findings show that knowing where other people are on the bus could significantly reduce concerns associated with VR use in transit, resulting in increased feelings of safety, social acceptability and awareness, but with the concession that the user's immersion may be reduced. The VR environment also affected the level of immersion and the feelings of escapism, with a 360-video environment returning higher scores than a 2D one.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {383},
numpages = {6},
keywords = {Reality Awareness, Passengers, Public Context, Buses, Virtual Reality, Reality-Virtuality Continuum, Public Transport},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

@inproceedings{10.1145/3491101.3519693,
author = {Shahu, Ambika and Wintersberger, Philipp and Michahelles, Florian},
title = {Would Users Accept Electric Muscle Stimulation Controlling Their Body? Insights from a Scenario-Based Investigation},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519693},
doi = {10.1145/3491101.3519693},
abstract = {Electric muscle stimulation (EMS) offers rich opportunities for haptic interaction. However, there is no comprehensive study assessing the user acceptance of this technology. Consequently, we synthesized four scenarios (motor learning, virtual reality, media player control, and pedestrian safety) based on various dimensions identified by the literature review. We assessed their user acceptance in an online survey (N=113) using the technology acceptance model (TAM). Our findings suggest that users may reject EMS systems if they perceive a high level of risk and lack of control over the environment. This was evident even in scenarios that could provide high benefits to users, such as accelerating the learning curve in motoric tasks. In contrast, EMS seems to be widely accepted for games and entertainment, represented by the virtual reality scenario in our study. HCI researchers should employ EMS to create more engaging VR experiences, keep users in control, and provide them the option of learning skills with or without EMS. Our results will help build better EMS systems accepted by users.},
booktitle = {Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems},
articleno = {236},
numpages = {7},
keywords = {Human actuation, Electrical muscle stimulation, Human-computer interaction},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}

license: MIT

repository: HighTemplar-wjiang/Crawlers

path: /ACM-Crawler/download/acm (4).bib

license_type: permissive

repo_name: HighTemplar-wjiang/Crawlers

branch_name: refs/heads/master

extension: bib

filename: acm (4).bib


text:
package cataloger

import (
	"strings"

	"github.com/anchore/syft/syft/pkg"
	"github.com/facebookincubator/nvdtools/wfn"
)

const jenkinsName = "jenkins"

type filterFn func(cpe pkg.CPE, p pkg.Package) bool

var cpeFilters = []filterFn{
	jiraClientPackageFilter,
	jenkinsPackageNameFilter,
	jenkinsPluginFilter,
}

// jenkins plugins should not match against jenkins
func jenkinsPluginFilter(cpe pkg.CPE, p pkg.Package) bool {
	if p.Type == pkg.JenkinsPluginPkg && cpe.Product == jenkinsName {
		return true
	}
	return false
}

// filter to account that packages that are not for jenkins but have a CPE generated that will match against jenkins
func jenkinsPackageNameFilter(cpe pkg.CPE, p pkg.Package) bool {
	// jenkins server should only match against a product with the name jenkins
	if cpe.Product == jenkinsName && !strings.Contains(strings.ToLower(p.Name), jenkinsName) {
		if cpe.Vendor == wfn.Any || cpe.Vendor == jenkinsName || cpe.Vendor == "cloudbees" {
			return true
		}
	}
	return false
}

// filter to account for packages which are jira client packages but have a CPE that will match against jira
func jiraClientPackageFilter(cpe pkg.CPE, p pkg.Package) bool {
	// jira / atlassian should not apply to clients
	if cpe.Product == "jira" && strings.Contains(strings.ToLower(p.Name), "client") {
		if cpe.Vendor == wfn.Any || cpe.Vendor == "jira" || cpe.Vendor == "atlassian" {
			return true
		}
	}
	return false
}

repository: joshuakwan/syft

repo_name: joshuakwan/syft

branch_name: refs/heads/main

extension: go


text:
// Customized reflect package for gomonkey，copy most code from go/src/reflect/type.go

package creflect

import (
	"reflect"
	"unsafe"
)

// rtype is the common implementation of most values.
// rtype must be kept in sync with ../runtime/type.go:/^type._type.
type rtype struct {
	size       uintptr
	ptrdata    uintptr // number of bytes in the type that can contain pointers
	hash       uint32  // hash of type; avoids computation in hash tables
	tflag      tflag   // extra type information flags
	align      uint8   // alignment of variable with this type
	fieldAlign uint8   // alignment of struct field with this type
	kind       uint8   // enumeration for C
	// function for comparing objects of this type
	// (ptr to object A, ptr to object B) -> ==?
	equal     func(unsafe.Pointer, unsafe.Pointer) bool
	gcdata    *byte   // garbage collection data
	str       nameOff // string form
	ptrToThis typeOff // type for pointer to this type, may be zero
}

func Create(t reflect.Type) *rtype {
	i := *(*funcValue)(unsafe.Pointer(&t))
	r := (*rtype)(i.p)
	return r
}

type funcValue struct {
	_ uintptr
	p unsafe.Pointer
}

func funcPointer(v reflect.Method, ok bool) (unsafe.Pointer, bool) {
	return (*funcValue)(unsafe.Pointer(&v.Func)).p, ok
}
func MethodByName(r reflect.Type, name string) (fn unsafe.Pointer, ok bool) {
	t := Create(r)
	if r.Kind() == reflect.Interface {
		return funcPointer(r.MethodByName(name))
	}
	ut := t.uncommon(r)
	if ut == nil {
		return nil, false
	}

	for _, p := range ut.methods() {
		if t.nameOff(p.name).name() == name {
			return t.Method(p), true
		}
	}
	return nil, false
}

func (t *rtype) Method(p method) (fn unsafe.Pointer) {
	tfn := t.textOff(p.tfn)
	fn = unsafe.Pointer(&tfn)
	return
}

type tflag uint8
type nameOff int32 // offset to a name
type typeOff int32 // offset to an *rtype
type textOff int32 // offset from top of text section

//go:linkname resolveTextOff reflect.resolveTextOff
func resolveTextOff(rtype unsafe.Pointer, off int32) unsafe.Pointer

func (t *rtype) textOff(off textOff) unsafe.Pointer {
	return resolveTextOff(unsafe.Pointer(t), int32(off))
}

//go:linkname resolveNameOff reflect.resolveNameOff
func resolveNameOff(ptrInModule unsafe.Pointer, off int32) unsafe.Pointer

func (t *rtype) nameOff(off nameOff) name {
	return name{(*byte)(resolveNameOff(unsafe.Pointer(t), int32(off)))}
}

const (
	tflagUncommon tflag = 1 << 0
)

// uncommonType is present only for defined types or types with methods
type uncommonType struct {
	pkgPath nameOff // import path; empty for built-in types like int, string
	mcount  uint16  // number of methods
	xcount  uint16  // number of exported methods
	moff    uint32  // offset from this uncommontype to [mcount]method
	_       uint32  // unused
}

// ptrType represents a pointer type.
type ptrType struct {
	rtype
	elem *rtype // pointer element (pointed at) type
}

// funcType represents a function type.
type funcType struct {
	rtype
	inCount  uint16
	outCount uint16 // top bit is set if last input parameter is ...
}

func add(p unsafe.Pointer, x uintptr, whySafe string) unsafe.Pointer {
	return unsafe.Pointer(uintptr(p) + x)
}

// interfaceType represents an interface type.
type interfaceType struct {
	rtype
	pkgPath name      // import path
	methods []imethod // sorted by hash
}

type imethod struct {
	name nameOff // name of method
	typ  typeOff // .(*FuncType) underneath
}

type String struct {
	Data unsafe.Pointer
	Len  int
}

func (t *rtype) uncommon(r reflect.Type) *uncommonType {
	if t.tflag&tflagUncommon == 0 {
		return nil
	}
	switch r.Kind() {
	case reflect.Ptr:
		type u struct {
			ptrType
			u uncommonType
		}
		return &(*u)(unsafe.Pointer(t)).u
	case reflect.Func:
		type u struct {
			funcType
			u uncommonType
		}
		return &(*u)(unsafe.Pointer(t)).u
	case reflect.Interface:
		type u struct {
			interfaceType
			u uncommonType
		}
		return &(*u)(unsafe.Pointer(t)).u
	case reflect.Struct:
		type u struct {
			interfaceType
			u uncommonType
		}
		return &(*u)(unsafe.Pointer(t)).u
	default:
		return nil
	}
}

// Method on non-interface type
type method struct {
	name nameOff // name of method
	mtyp typeOff // method type (without receiver)
	ifn  textOff // fn used in interface call (one-word receiver)
	tfn  textOff // fn used for normal method call
}

func (t *uncommonType) methods() []method {
	if t.mcount == 0 {
		return nil
	}
	return (*[1 << 16]method)(add(unsafe.Pointer(t), uintptr(t.moff), "t.mcount > 0"))[:t.mcount:t.mcount]
}

repository: agiledragon/gomonkey

repo_name: agiledragon/gomonkey

gha_license_id: MIT

gha_language: Go