Human performance in the lab and in complex environments

Humans actively gather visual information to guide interaction with their environment. Human vision is very efficient and highlights how a small amount of data can be used to drive inferences that can be acted on. Our group investigates the basic mechanisms underlying active vision. We also work with industry to translate these results for outcomes relevant to human-AI interaction in complex environments. In this talk, Prof Ma-Wyatt provides an overview of her work in these areas and highlight opportunities for collaboration. 

Tagged in human vision, Artificial Intelligence