Assistant Professor, Faculty of Information Director, COoKIE Research Group
Anastasia Kuzminykh holds a PhD in Computer Science from the University of Waterloo and a degree in Neuro- and Pathopsychology from the Lomonosov Moscow State University. Her background incorporates experiences in human-computer interaction, cognitive psychology and affective science, ethnographic research, and systems design. She has worked both with industry, including Google (US), Microsoft Research Cambridge (UK), Aterlo Networks (Canada), and with research institutions worldwide, including Inria Lille (France) and Ben Gurion University (Israel), and continues to actively collaborate with groups and companies around the world.
In her work in human-computer interaction and information dynamics, Professor Kuzminykh analyzes the complex communication environments and designs corresponding systems to advance user performance. Her current research interests are mostly focused on human interaction with AI systems, particularly on human-agent communication supported through conversational user interfaces. She is interested in how users perceive AI systems and how these perceptions affect information exchange processes, how people organize information through conversational interfaces (information architecture), and how we can design ethical and efficient human-AI collaboration.
Affiliations:
The SRI Seminar Series welcomes Anastasia Kuzminykh. With a background spanning computer science, psychology, and ethnographic research, Kuzminykh’s work bridges human-computer interaction and the design
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Aoyagui, P. A., Stemmler, K., Ferguson, S., Kim, Y. H., & Kuzminykh, A. “A Matter of Perspective(s): Contrasting Human and LLM Argumentation in Subjective Decision-Making on Subtle Sexism“. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. ACM, 2025
Jones, B., Stemmler, K., Su, E., Kim, Y., and Kuzminykh, A. (2025). “Users’ Expectations and Practices with Agent Memory”. In Proceedings of the 2025 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2025
Kumar, H., Yoo, S., Bernuy, A.Z., Shi, J., Luo, H., Williams, J., Kuzminykh, A., Anderson, A. and Kornfield, R., 2025. “Large Language Model Agents For Improving Engagement With Behavior Change Interventions: Application To Digital Mindfulness“. Proceedings of the ACM on Human-Computer Interaction (CSCW 2025)
V Herdel, A Kuzminykh, A Hildebrandt, JR Cauchard. Drone in love: Emotional perception of facial expressions on flying robots. Proceedings of the 2021 CHI conference on human factors in computing systems