UTCS Artificial Intelligence
I am currently studying some of the mechanisms involved in active visual system. In particular, I would like to discover how humans can cope with the amount of information that exists in the environment. It is my belief that the visual system first filters out all non-relevant or familiar information from the data stream. To test this hypothesis we are experimenting with people in virtual reality environment and measure human behavior when familiar portions of this environment is changed (while not being observed). These experiments will give us insight into the nature of the internal representations and inspire new computational models.
dkit [at] cs utexas edu
Using visuo-spatial memory for novelty detection
Dmitry Kit, Brian Sullivan and Dana Ballard,
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
PRISM: Precision-aware Aggregation for Scalable Monitoring
Navendu Jain, Dmitry Kit, Prince Mahajan, Praveen Yalagandula, Mike Dahlin, and Yin Zhang, Technical Report, University of Texas at Austin.
Areas of Interest
Formerly affiliated with
Embodied Cognition Lab