Add FutureHCI paper citation

README.md

@@ -27,7 +27,7 @@ The dataset follows the two assembly conditions in FAST:
 
 Every synthetic person has one CSV file in `FAB_A` and one corresponding CSV file in `FAB_B`, for a total of 200 motion files. This supports experiments such as training on one assembly condition and evaluating identification on the other.
 
-The work associated with this dataset has been accepted by FutureHCI. Full publication and citation details will be added when available.
+The associated paper, **"Generating Synthetic Behavioral Populations from XR Motion"** by Xiaozheng Wang and Ryan P. McMahan, has been accepted for publication at the 2026 Future of HCI Workshop (FutureHCI '26).
 
 ## Dataset Contents
 
@@ -158,7 +158,21 @@ FAST paper:
 
 ## Citation
 
-If you use this dataset, please cite the associated FutureHCI publication and the FAST paper. The FutureHCI citation will be added here when its final bibliographic information is available.
+If you use this dataset, please cite the associated FutureHCI publication and the FAST paper.
+
+Temporary citation for the accepted paper (to be updated with pages and DOI after publication):
+
+> Xiaozheng Wang and Ryan P. McMahan. 2026. "Generating Synthetic Behavioral Populations from XR Motion." Accepted for publication in the Proceedings of the 2026 Future of HCI Workshop (FutureHCI '26). Forthcoming.
+
+```bibtex
+@inproceedings{wang2026synthetic,
+  title     = {Generating Synthetic Behavioral Populations from {XR} Motion},
+  author    = {Wang, Xiaozheng and McMahan, Ryan P.},
+  booktitle = {Proceedings of the 2026 Future of HCI Workshop (FutureHCI '26)},
+  year      = {2026},
+  note      = {Accepted; forthcoming}
+}
+```
 
 ## License