Ranxiao Frances Wang

Profile picture for Ranxiao Frances Wang

Contact Information

533 Psychology Bldg.

Research Interests

I am interested in the basic principles used by humans and other animals to solve various visual and spatial problems, as well as how to implement these principles in artificial systems. My current research focuses on mind wandering and cognitive control, human robot interaction, visual perception, and spatial memory.


Ph.D. from Massachusetts Institute of Technology

Additional Campus Affiliations

Professor, Beckman Institute for Advanced Science and Technology

Recent Publications

Voss, M. J., Zukosky, M., & Wang, R. (2018). A new approach to differentiate states of mind wandering: Effects of working memory capacity. Cognition, 179, 202-212. https://doi.org/10.1016/j.cognition.2018.05.013

Holmes, R. M., Victora, M. M., Wang, R., & Kwiat, P. G. (2018). Testing the limits of human vision with quantum states of light: Past, present, and future experiments. In J. C. Campbell, & M. A. Itzler (Eds.), Advanced Photon Counting Techniques XII (Vol. 10659). [1065903] SPIE. https://doi.org/10.1117/12.2306092

Sampaio, C., & Wang, R. (Accepted/In press). Bayesian average or truncation at boundaries? The mechanisms underlying categorical bias in spatial memory. Memory and Cognition. https://doi.org/10.3758/s13421-018-0884-7

Widdowson, C., Yoon, H. J., Cichella, V., Wang, R., & Hovakimyan, N. (2018). VR environment for the study of collocated interaction between small UAVs and humans. In J. Chen (Ed.), Advances in Human Factors in Robots and Unmanned Systems - Proceedings of the AHFE 2017 International Conference on Human Factors in Robots and Unmanned Systems, 2017 (pp. 348-355). (Advances in Intelligent Systems and Computing; Vol. 595). Springer-Verlag. https://doi.org/10.1007/978-3-319-60384-1_33

Sampaio, C., & Wang, R. (2017). The cause of category-based distortions in spatial memory: A distribution analysis. Journal of Experimental Psychology: Learning Memory and Cognition, 43(12), 1988-1992. https://doi.org/10.1037/xlm0000424

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