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The Person and Space Perception Lab
PI: Mintao Zhao, PhD |
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Welcome to the Person and Space Perception Lab!
We are interested in understanding how we perceive, represent, and interact with our physical and social environments: the spaces we move through and the people we encounter. Our research aims to understand how social and spatial information is encoded in the mind and brain and how we use this information to guide our interactions with the world, such as recognizing a person we know very well and navigating places we have never been before.
Currently, our research focuses specifically on person perception and spatial navigation. For person perception, we explore how we recognize, remember, and interpret the faces and actions of those around us. This includes understanding the cognitive and neural mechanisms underlying face recognition and social cognition. For spatial navigation, we investigate how we map, remember, and traverse virtual and physical spaces. This involves examining the cognitive and neural processes that underpin our ability to find our way in new environments, remember familiar routes, and make spatial decisions. Recently, we have begun drawing insights from state-of-the-art neural network models to help us understand how humans and machines may approach these questions differently.
Currently, our research focuses specifically on person perception and spatial navigation. For person perception, we explore how we recognize, remember, and interpret the faces and actions of those around us. This includes understanding the cognitive and neural mechanisms underlying face recognition and social cognition. For spatial navigation, we investigate how we map, remember, and traverse virtual and physical spaces. This involves examining the cognitive and neural processes that underpin our ability to find our way in new environments, remember familiar routes, and make spatial decisions. Recently, we have begun drawing insights from state-of-the-art neural network models to help us understand how humans and machines may approach these questions differently.
Our research is kindly supported by research grants from The Royal Society, The British Academy, and School of Psychology at UEA.
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