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Biography
Hari Subramonyam is an Assistant Professor (Research) at the Graduate School of Education and a Faculty Fellow at Stanford's Institute for Human-Centered AI. He is also a member of the HCI Group at Stanford. His research focuses on augmenting critical human tasks (such as learning, creativity, and sensemaking) with AI by incorporating principles from cognitive psychology. He also investigates support tools for multidisciplinary teams to co-design AI experiences. His work has received multiple best paper awards at top human-computer interaction conferences, including CHI and IUI.
Other titles
Assistant Professor (Research), Graduate School of Education
Assistant Professor (Research) (By courtesy), Computer Science
Program affiliations
DAPS
Learning Sciences and Technology Design (LSTD)
Stanford Accelerator for Learning
Research interests
Brain and Learning Sciences | Collaborative Learning | Data Sciences | Science Education | Special Education | Technology and Education
Recent publications
Subramonyam, H., & Hullman, J. (2024). Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research. IEEE Transactions on Visualization and Computer Graphics, 30(1), 672–682.
Subramonyam, H., Pea, R., Pondoc, C. L., Agrawala, M., & Seifert, C. (2024). Bridging the Gulf of Envisioning: Cognitive Challenges in Prompt Based Interactions with LLMs. PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS (CHI 2024). ASSOC COMPUTING MACHINERY.
Russell, D. M., Kulkarni, C., Glassman, E. L., Subramonyam, H., & Martelaro, N. (2024). Human-Computer Interaction and AI: What Practitioners Need to Know to Design and Build Effective AI systems from a Human Perspective. EXTENDED ABSTRACTS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2024. ASSOC COMPUTING MACHINERY.
