Analysis of Careless Mistakes Using Gaze Information
Ryota Yabe, Noriko Takemura · Proceedings of International Conference on Artificial Life and Robotics · 2025
Careless mistakes are caused by a lack of concentration, time pressure, and information overload due to multitasking.If we predict careless errors, they could be helpful in various situations, such as learning support, business efficiency improvement, and medical diagnosis support.However, it is challenging to reproduce careless error situations, and few studies have been on predicting careless errors.Therefore, we focus on Shogi (Japanese chess), where situational awareness is complex, and players must maintain long periods of concentration, making careless mistakes.In this study, we collected eye-tracking data of players during a game and annotated careless errors based on the game's contents and surveys from the players.By analyzing this data, we have examined the conditions under which careless mistakes occur).