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ウ ジンソク
WOO JINSEOK
禹 珍碩 所属 工学部 機械工学科 職種 准教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2026/07 |
| 形態種別 | 学術論文 |
| 査読 | 査読あり |
| 標題 | Gaze Analysis System for Emotional Attunement in Human–Robot Interactions |
| 執筆形態 | 共著 |
| 掲載誌名 | Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) |
| 掲載区分 | 国外 |
| 出版社・発行元 | Fuji Technology Press Ltd. |
| 巻・号・頁 | 30(4),pp.1258-1264 |
| 総ページ数 | 7 |
| 担当区分 | 最終著者,責任著者 |
| 著者・共著者 | Yuka Sone, Jinseok Woo |
| 概要 | Recent advances in artificial intelligence and robotics have accelerated the deployment of service robots in daily environments. However, many systems still lack adaptive responsiveness to the nonverbal behaviors of users. This study proposes a gaze-based user analysis system integrated into a mixed reality (MR) smart home environment to support attentional intention-aware human–system interactions. Rather than directly estimating emotional states, the proposed approach infers attentional intentions of users based on gaze behavior as an operational proxy for emotional attunement. Using gaze data collected through HoloLens 2, we develop a machine learning model based on a long short-term memory network combined with a mixture density network to predict future gaze coordinates in a three-dimensional space. The predicted gaze information is shared with a robotic partner to enable proactive context-aware information support. The proposed system demonstrates the feasibility of leveraging gaze prediction to anticipate user focus and provide adaptive support in MR-based smart environments. |
| DOI | doi: 10.20965/jaciii.2026.p1258 |
| 外部リンクURL | https://www.fujipress.jp/jaciii/jc/jacii003000041258/ |