The research program aims at advancing basic knowledge in cognitive sciences about how human minds interact with evolving technologies (including recommender systems, AI, etc.) through self-regulated processes, such as information search and learning, for complex information goals, including decision-making and knowledge acquisition.

Projects

Current Projects

• Search as learning/ Information foraging across the lifespan

  • The research program aims at understanding the underlying mechanism of search with the goals of learning or behavioral planning over time, identifying intrapersonal and interpersonal differences in the cues used to determine information utilities during the interactions with recommender systems and multi-text environments.
    • Chin, J., Payne, B., Fu, W-T., Morrow, D. G. & Stine-Morrow, E. A. L. (2015). Information foraging across the life span: Search and switch in unknown patches. Topics in Cognitive Science, 7(3), 428-450. https://doi.org/10.1111/tops.12147
    • Chin, J. & Stine-Morrow, E. A. L. (2016). What makes you feel you are learning: Cues to self-regulated learning. In A. Papafragou, D. Grodner, D. Mirman, J. C. Trueswell (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society(pp. 538-543). Austin, TX: Cognitive Science Society.
    • Liu, X., Chin, J., Payne, B. R., Fu, W-T., Morrow, D. G., Stine-Morrow, E. A. L. (2016). Adult age differences in information foraging in an interactive reading environment. Psychology and Aging, 31(3), 211-223. https://doi.org/10.1037/pag0000079

• Exploring knowledge representations with large language models

  • The research program aims at exploring different approaches to modify large language models to represent different mental states (including intentions) and knowledge (including spatial information and belief).

Ongoing and Completed Funding

• Campus Research Board Award

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