What is Interdisciplinary Perceptual Science?
The past decade of growth in perceptual technologies (e.g., automated recognition systems, usable virtual environments) has created the need for a new generation of realistic, comprehensive and innovative perceptual models, applicable to humans and implemented in machines. Interdisciplinary Perceptual Science will train students to develop and apply such models by integrating formal and experimental approaches to human and machine perception, and by bridging the gaps in language, perspective and knowledge that traditionally divide technically and behaviorally oriented disciplines. A cornerstone of this program is a one-year laboratory course, Integrative Methods in Perceptual Science, in which students learn to integrate human and computer perception by working on realistic projects in small teams with faculty mentors in a specialized multi-faceted teaching laboratory.
