Michael Beyeler Research Group

University of California, Santa Barbara

Can machine learning models explain and predict human-centered perceptual behavior in visual computing tasks? Research uses machine learning and data-mining methods to study perception and interaction within human-centered computing. Projects investigate algorithmic approaches to pattern recognition and intelligent systems applied to visual computing and human-computer interaction. The group employs computational modeling and data analysis to evaluate algorithms for multimodal perception and interaction. Methods combine experimental data with machine-learning algorithms to probe perceptual and behavioral phenomena in visual tasks.