Dr Danqing Shi, a postdoctoral research associate in machine learning at the University of Cambridge, will give a talk about gaze behaviour in human-computer/AI interaction.

Visual information is the primary and most efficient type of data collected and processed by humans during daily interactive tasks, which significantly affects task performance. Therefore, human gaze behavior offers valuable insights for researchers studying how people interact with computers and AI. This talk will discuss three projects focused on understanding human gaze behavior: eye-hand coordination, reasoning during information viewing, and identification of AI-generated content. The goal of the talk is to demonstrate how to learn from empirical human eye-tracking data and to inform modelling approaches that explain human strategies.

Danqing Shi is a Postdoctoral Research Associate in Machine Learning at the University of Cambridge. He will join Lund University as an Assistant Professor in 2026. His research interests include human-AI interaction, human-computer interaction, and visualisation. Before joining Cambridge, he received his PhD from Tongji University and worked at Finnish Center for AI, Aalto University, and a visiting scholar at ETH Zurich. His work received several paper awards, including Best Paper Honourable Mentions at ACM CHI 2025, ACM CHI 2024, and IEEE PacificVis 2024. More information about his research can be found here.