Time: Friday, April 7, 2023, 14:00-16:00

Location: Lecture Hall 537, Building 3, Hainayuan, Zijingang Campus, Zhejiang University

Why I Abandoned Traditional Experimental Psychology After 20 Years

Speaker: Liqiang Huang

Associate Professor, Department of Psychology, The Chinese University of Hong Kong

Professor Liqiang Huang's research focuses on visual attention, visual working memory, and visual awareness. In recent years, he has conducted in-depth analyses of various aspects of attention, perception, and cognition by integrating machine learning and conceptual models. Professor Huang completed his undergraduate and master's studies in Optical Engineering at Zhejiang University, earned his Ph.D. in Experimental Psychology from the University of California, San Diego, and conducted postdoctoral research at Princeton University. He has published multiple articles in prestigious journals such as Science, Psychological Review, Nature Human Behaviour, and Psychological Science.

Abstract

After twenty years of employing traditional theory-driven experimental designs to study perception and cognition, Professor Liqiang Huang now adopts a new approach: integrating large-scale experiments with machine learning to comprehensively explore cognitive tasks and attempt to construct a preliminary overarching framework. Based on his own experiences and other research in the field, Professor Huang believes that large-scale experiments represent a promising new direction for in-depth cognitive research.