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Qiliang He

Research Area: Cognition and Cognitive Neuroscience

Spatial Cognition, Navigation and Memory

I'm interested in how people learn, update, and retrieve objects' positions with respect to themselves in small-scale environment, and the acquisition and development of spatial knowledge in large-scale environment. Using virtual reality as the main research tool, I create virtual environments of different complexites and design new methods to test which one could faciliate the development of spatial knowledge. Another line of my research is investigating what coordinate system people use to represent the spatial relations between objects in the environment, and how this coordinate system flexibily change based on the features of the environment and the goal of the spatial task.

Because of my research interest, I'm also interested in finding workarounds to reduce motion sickness in VR.

Representative Publications

He, Q., McNamara, T.P., Bodenheimer, B., & Klippel, A. (in prep). Acquisition of Spatial Knowledge during Wayfinding. 

He, Q., McNamara, T. P., & Kelly, J. W. (2017). Reference frames in spatial updating when body-based cues are absent. Memory & Cognition, 1–11.

Paris, R., Joshi, M., He, Q., Narasimham, G., McNamara, T.P., & Bodenheimer, B. (accepted). Acquisition of Survey Knowledge using Walking in Place and Resetting Methods in Immersive Virtual Environments. In Proceedings of the ACM Symposium on Applied Perception (SAP ’17)

He, Q., McNamara, T.P. & Kelly, J.W. (2017). Environmental and Idiothetic Cues to Reference Frame Selection in Path Integration. In T. Barkowsky et al. (Eds.), Spatial Cognition X. Berlin Heidelberg: Springer.

He, Q., & McNamara, T. P. (2017). Spatial Updating Strategy Affects the Reference Frame in Path Integration. Psychonomic Bulletin & Review, 1–7.

C. Zancada-Menendez, Q. He, P. Sampedro-Piquero, L. Lopez & T. P. McNamara (2016): Influence of bidirectional perspective on learning routes and spatial layout. Journal of Cognitive Psychology.

Chen, X., He, Q., Kelly, J. W., Fiete, I. R., & McNamara, T. P. (2015). Bias in human path integration is predicted by properties of grid cells. Current Biology25(13), 1771-1776.