| Title: | GS5-2 Analysis of Careless Mistakes Using Gaze Information |
|---|---|
| Publication: | ICAROB2025 |
| Volume: | 30 |
| Pages: | 893-896 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2025.GS5-2 |
| Author(s): | Ryota Yabe, Noriko Takemura |
| Publication Date: | February 13, 2025 |
| Keywords: | Careless mistakes, Shogi, Gaze analysis |
| Abstract: | 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). |
| PDF File: | https://alife-robotics.co.jp/members2025/icarob/data/html/data/GS/GS5/GS5-2.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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