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  1. 02 情報科学
  2. 01 学術雑誌論文

Identifying eye movement behavior indicators of social competence during conversation listening: A study using HoloLens 2

http://hdl.handle.net/10061/0002001349
http://hdl.handle.net/10061/0002001349
9ed719f6-cab9-464a-8805-e2efdfde8de0
アイテムタイプ 学術雑誌論文 / Journal Article(1)
公開日 2026-02-26
タイトル
タイトル Identifying eye movement behavior indicators of social competence during conversation listening: A study using HoloLens 2
言語
言語 eng
キーワード
主題Scheme Other
主題 Gaze behavior
キーワード
主題Scheme Other
主題 multi-person interaction
キーワード
主題Scheme Other
主題 social competence
キーワード
主題Scheme Other
主題 visual attention allocation
キーワード
主題Scheme Other
主題 augmented reality
資源タイプ
資源タイプ journal article
アクセス権
アクセス権 open access
著者 Fang, Yu

× Fang, Yu

en Fang, Yu

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Fujimoto, Yuichiro

× Fujimoto, Yuichiro

en Fujimoto, Yuichiro

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Uratani, Mitsuhiro

× Uratani, Mitsuhiro

en Uratani, Mitsuhiro

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Butaslac, Isidro

× Butaslac, Isidro

en Butaslac, Isidro

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澤邊, 太志

× 澤邊, 太志

ja 澤邊, 太志

ja-Kana サワベ, タイシ

en Sawabe, Taishi

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神原, 誠之

× 神原, 誠之

ja 神原, 誠之

ja-Kana カンバラ, マサユキ

en Kanbara, Masayuki

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加藤, 博一

× 加藤, 博一

ja 加藤, 博一

ja-Kana カトウ, ヒロカズ

en Kato, Hirokazu

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抄録
内容記述タイプ Abstract
内容記述 Aims: This study aims to investigate the relationship between eye movement behaviors and social competence, particularly focusing on listening patterns in multi-person conversations. The goal is to identify objective, quantifiable behavioral indicators of social competence to inform the development of assessment tools and training interventions.Methods: A three-person setting was designed with two conversational partners and one primary listener, and immersive eye-tracking data were collected using Microsoft HoloLens 2 during conversations on naturalistic topics. Social competence was rated by a clinical psychiatrist using standardized behavioral criteria, while analysis targeted three pre-selected indicators: nodding frequency, selective attention allocation to speaker’s regions of interest (head versus shoulders), and vertical gaze stability during listening.Results: The results revealed that nodding frequency showed a strong positive correlation with social competence scores, indicating its potential as a robust nonverbal biomarker. Participants with higher social competence demonstrated greater attention to the speaker’s head region while minimizing focus on less informative areas such as the shoulders. Furthermore, individuals with higher scores exhibited significantly lower vertical gaze dispersion, reflecting more focused and stable attentional control during social listening.Conclusion: This study establishes reliable eye movement-based indicators of social competence, highlighting their potential for assessing and enhancing social skills in real-world interactions. By integrating multimodal behavioral analysis, the findings provide a theoretical and technical foundation for developing personalized, real-time feedback systems for social competence training.
書誌情報 en : Empathic Computing

巻 2, 号 1, ページ数 17, 発行日 2026-01-13
出版者
出版者 Science Exploration Press
ISSN
収録物識別子タイプ EISSN
収録物識別子 3106-8014
出版者版DOI
関連タイプ isReplacedBy
識別子タイプ DOI
関連識別子 https://doi.org/10.70401/ec.2026.0015
出版者版URI
関連タイプ isReplacedBy
識別子タイプ URI
関連識別子 https://www.sciexplor.com/articles/ec.2026.0015
権利
権利情報Resource https://creativecommons.org/licenses/by/4.0/
権利情報 © The Author(s) 2026. This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
著者版フラグ
出版タイプ NA
助成情報
助成機関名 Japan Society for the Promotion of Science (JSPS)
研究課題番号 25K01204
研究課題番号URI https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-25K01204/
研究課題名 対面対話の問題を即時的かつ網羅的に緩和する常時介在型ARインタフェース
助成情報
助成機関名 Japan Science and Technology Agency (JST)
研究課題番号 JPMJCR19A5
研究課題番号URI https://projectdb.jst.go.jp/grant/JST-PROJECT-19203499/
研究課題名 仮想エージェントによる個人適応された情動社会スキルの訓練
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