Work

Analyzing Eye-Tracking Data to Detect Joint Attention in Hexgame Experiments

Year: 2025

Type: conference-paper

Abstract: This study aims to explore the mechanisms of joint attention in a strategic game experiment by analyzing Tobii eyetracking data.In this experiment, two participants play Hexgame, during which the gaze direction is tracked and projected onto the game's board plane through perspective geometry, in order to track attention sharing correlates at particular stages of the game from behavioral data.The primary focus of this study is the analysis of eye-tracking data to identify attention coordination between players during the progression of the game.Future work will expand this framework to assess win probabilities and predict subsequent moves, providing deeper insights into strategic decisionmaking.

Source: Proceedings of International Conference on Artificial Life and Robotics

DOI: 10.5954/icarob.2025.gs6-5

Authors: Yide Yang, Rena Kato, Kosei Shibata, Hendry Ferreira Chame, Laurent Bougrain, Hiroaki Wagatsuma

Institutions: Kyushu Institute of Technology, Université de Lorraine, Sorbonne Université

Language: English

Topic: Gaze Tracking and Assistive Technology

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Université de Lorraine, Kyushu Institute of Technology, Japan Society for the Promotion of Science

Awards: G4839460500, Design science for body kinetics enhancement devices to realize desired functions by an integration of 3D analysis and inverse dynamics