rlangevi at uw dot edu
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Hi! I am a fourth year PhD candidate in the department of Human Centered Design & Engineering at the University of Washington. I am advised by Dr. Gary Hsieh.

My research areas include human-computer interaction, conversational user interface design and health informatics. I study how conversational interfaces can improve health and well-being.

Previously, I received my bachelor's degrees in Computer Science and Studio Arts from the University of Rochester. I have conducted research at Facebook, ROC HCI Lab and CMU HCII.

My work is published in venues including CHI, CUI, and IMWUT, and has received awards at top conferences in human-computer interaction, including Best Paper and Honorable Mention Awards at CHI and CUI.


  • Kocielnik, R., Langevin, R., George, J. S., Akenaga, S., Wang, A., Jones, D., Argyle, A., Fockele, C., Anderson, L., Hsieh, D., Yadav, K., Duber, H., Hsieh, G., and Hartzler, A. "Can I Talk to You about Your Social Needs? Understanding Preference for Conversational User Interface in Health." In 3rd Conference on Conversational User Interfaces (CUI), p. 1-10, 2021. [Paper] Best Paper Honorable Mention

  • Ali, M. R., Sen, T., Li, Q., Langevin, R., Myers, T., Dorsey, R., Sharma, S., and Hoque, M. E. “Analyzing Head Pose in Remotely-Collected Videos of People with Parkinson's Disease.” In ACM Transactions on Computing for Healthcare (HEALTH), 2021. [Paper]

  • Langevin, R., Lordon, R., Avrahami, T., Cowan, B., Hirsch, T., and Hsieh, G. “Heuristic Evaluation of Conversational Agents.” In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), p. 1-15, 2021. [Workshop Paper] [Paper] Best Paper Award

  • Ali, M.R., Razavi, S., Langevin, R., Al Mamun, A., Kane, B., Rawassizadeh, R., Schubert, L., and Hoque, M.E. “A Virtual Conversational Agent for Teens with Autism Spectrum Disorder: Experimental Results and Design Lessons,” In Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents (IVA), p. 1-8, October 2020. [Paper]

  • Langevin, R., Ali, M. R., Sen, T., Snyder, C., Myers, T., Dorsey, R., and Hoque, M. E. “The PARK Framework for Automated Analysis of Parkinson's Disease Characteristics.” In Proceedings of ACM on Interactive, Mobile, Wearable, and Ubiquitous Computing (IMWUT), vol. 3, no. 2, June 2019. [Paper]