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

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.

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Publication Details

Journal
Proceedings of International Conference on Artificial Life and Robotics
Published
2025-02-13
DOI
https://doi.org/10.5954/icarob.2025.gs6-5
Primary Topic
Psychological and Educational Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Hiroaki Wagatsuma, Yuanmu Yang, Hendry Ferreira Chame, Rena Kato et al.
Proceedings of International Conference on Artificial Life and Robotics
Psychological and Educational Research Studies
article

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

Hiroaki Wagatsuma, Yuanmu Yang, Hendry Ferreira Chame, Rena Kato, Laurent Bougrain, Kosei Shibata
article en

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.

Proceedings of International Conference on Artificial Life and RoboticsVol. 30
Kyushu Institute of Technology (JP), Sorbonne Université (FR), Laboratoire Médiations (FR), Université de Lorraine (FR)
Université de Lorraine, Kyushu Institute of Technology, Japan Society for the Promotion of Science
Openalex Percentile: Top 79%
Psychological and Educational Research Studies
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Analyzing Eye-Tracking Data to Detect Joint Attention in Hexgame Experiments — Hiroaki Wagatsuma, Yuanmu Yang, et al. · Proceedings of International Conference on Artificial Life and Robotics (2025) | TGRS Research Map | TGRS