지각 운동 학습 연구실

In Perception, Action & Learning Lab, we study 1) how the human perceptual system constructs representations of the world from incomplete and noisy sensory signals, 2) how our sensory-motor system coordinates to generate efficient responses, and 3) how we can apply those knowledge to improve the quality of life. Current research areas include statistical learning in vision, motion perception, visuo-haptic cue integration, and vision of the aging population. To study these problems, we utilize various behavioral and physiological (through collaboration) measurement techniques and computational modeling. Especially, we are interested in building normative computational models that signify the (sub)optimality of human behaviors.