Our lab had a wonderful time attending the Human-Robot Interaction (HRI) Conference 2026 in Edinburgh, Scotland, from March 16-19, 2026. Our PI, Dr. Eileen Roesler, and several lab members had such a great presence showcasing a diverse range of work from workshops, late-breaking reports, and a student-design challenge.
First of all, we would like to congratulate our team members on their well-deserved recognition. Toey, Neha, and Paige, along with other students from the hri lab, received Honorable Mentions for their outstanding work on scale validation and student-design challenge. This is an incredible achievement that reflect their dedication and contribution to the field. We also would like to congratulate Hanna for presenting her late-breaking report on blame and control attributions in HRI.
Additionally, Toey was selected to be part of Human-Robot Interaction Pioneers where she presented her research on the approach of utilizing open data for scale validation and engaged in thought-provoking discussion with distinguished student researchers from around the world to address key challenges in HRI research.
We are very proud of our team’s accomplishments and productivity. We are already looking forward to HRI 2027!
🔗 Check out our newly published works from HRI 2026
Konrad, S., Wijesinghe, N., Roesler, E., & Busby Grant, J. (2026). From Affinity to Adoption: Exploring Affinity with Technology, Social Presence, and Intended Future Robot Use. In Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (pp. 624-628). [Link]
Parikh, H., Vallejo, P., Phillips, E., Roesler, E., Trafton, J. G., & Saad, L. (2026). Who’s the Boss? Attributions of Control Influence Blame toward Robot Decision-Makers. In Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (pp. 844-848). [Link]
Pithayarungsarit, P. (2026). Not Enough Data? No Worries: A Systematic Approach for Validating Scales Used in Human-Robot Interaction Research. In Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (pp. 1348-1350). [Link]
Pithayarungsarit, P., Kannan, N., Williamson, P., Vallejo, P., Saad, L., Trafton, G., & Roesler, E. (2026). A Systematic Validation and Review of the Negative Attitudes toward Robots Scale (NARS). In Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (pp. 730-735). [Link]
Roesler, E., Heuring, M., & Onnasch, L. (2026). Task Domain and Sociability Influence Anthropomorphic Design Preference and Gender Attribution in Robots. In Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (pp. 542-546). [Link]
Roesler, E., & Onnasch, L. (2026). When Robots Wander: The Influence of Robot Activity on Engagement and Distraction. In Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (pp. 507-511). [Link]
Tiger, J. P., Williamson, P., Kannan, N., Henley, J., Roesler, E., & Porfirio, D. (2026). Nose Knows: A Human-Centered Robotic Air Quality Monitor. In Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (pp. 1241-1244). [Link]