Judith Fan

Assistant Professor (start date 7/1/19)

Our lab's research addresses questions at the intersection of cognitive science, computational neuroscience, and AI. As a central case study, our recent investigations focus on human visual communication, which encompasses behaviors ranging from informal sketching to formal scientific visualization and its applications in education, user interface design, and assistive technologies. Our goal in building computational models of such behaviors is to understand how perception, memory, motor planning, and social cognition functionally interact in the brain, leading to a more unified understanding of how multiple cognitive systems are coordinated during complex, natural behaviors.

  • Hawkins R., Sano, M., Goodman N., & Fan J. (2019). Graphical convention formation during visual communication. Proceedings of the 41st Annual Meeting of the Cognitive Science Society.
  • Fan. J., Hawkins R., Wu M., & Goodman N. Pragmatic inference and visual abstraction enable contextual flexibility during visual communication. arXiv. https://arxiv.org/abs/1903.04448.
  • Fan J., Yamins D., & Turk-Browne, N. (2018) Common object representations for visual production and recognition. Cognitive Science, 42(8), 2670-2698.
  • Long, B., Fan J., & Frank M. (2018) Drawing as a window into developmental changes in object representations. Proceedings of the 40th Annual Conference of the Cognitive Science Society.
  • Fan, J. (2015) Drawing to learn: how producing graphical representations enhances scientific thinking. Translational Issues in Psychological Science. 1(2), 170-181

Updated May 2019