I am interested in vision—the various ways that humans, animals, and computers use light to see. I believe that vision involves constraints that apply to any system, and that the most successful visual systems are based on very general information-processing strategies. As such, my approach is to examine biological systems (including humans) to see how they operate, and then to look at these mechanisms from a computational point of view to see if they embody more general principles. Among other things, these more general principles can provide a scientific basis for the design of visual interfaces that can interact with human visual systems in an optimal way.
My research interests include:
Kuhn G, Amlani AA, and Rensink RA (2008). Towards a science of magic. Trends in Cognitive Sciences, 12: 349-354.
Rensink RA (2004). Visual sensing without seeing. Psychological Science, 15:27-32.
Rensink RA (2002). Change Detection. Annual Review of Psychology,53:245-277.
Rensink RA (2002). Internal vs. External Information in Visual Perception. Proceedings of the Second International Symposium on Smart Graphics: 63-70. [Smart Graphics 2; Hawthorne, NY, USA.]
Rensink RA (2000). The Dynamic Representation of Scenes. Visual Cognition,7:17-42.
Rensink RA, and Enns JT (1998). Early Completion of Occluded Objects. Vision Research, 38:2489-2505.
Rensink RA, O'Regan JK, and Clark JJ (1997). To See or Not to See: The Need for Attention to Perceive Changes in Scenes. Psychological Science, 8:368-373.
COGS 200 Introduction to Cognitive Systems, COGS 400 Special Topics in Cognitive Systems, CPSC 532E, PSYC 260 Experimental & Laboratory