Research focus
About the research
Can machine learning models explain and predict human-centered perceptual behavior in visual computing tasks?
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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.
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