Detecting Praising Behavior Based on Multimodal Information in Remote Dialogue

• Item type: Journal(1)
• 公開日: 2025-01-15
• タイトル: Detecting Praising Behavior Based on Multimodal Information in Remote Dialogue
• タイトル / 言語: en
• タイトル: Detecting Praising Behavior Based on Multimodal Information in Remote Dialogue
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文（推薦論文）] multimodal interaction, remote dialogue, praise
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Integrated Basic Sciences, Nihon University
• 著者所属: Graduate School of Integrated Basic Sciences, Nihon University
• 著者所属: Graduate School of Integrated Basic Sciences, Nihon University
• 著者所属: NTT Human Informatics Laboratories, NTT Corporation
• 著者所属: NTT Human Informatics Laboratories, NTT Corporation
• 著者所属: College of Humanities and Sciences, Nihon University
• 著者所属(英): en
• 著者所属(英): Graduate School of Integrated Basic Sciences, Nihon University
• 著者所属(英): en
• 著者所属(英): Graduate School of Integrated Basic Sciences, Nihon University
• 著者所属(英): en
• 著者所属(英): Graduate School of Integrated Basic Sciences, Nihon University
• 著者所属(英): en
• 著者所属(英): NTT Human Informatics Laboratories, NTT Corporation
• 著者所属(英): en
• 著者所属(英): NTT Human Informatics Laboratories, NTT Corporation
• 著者所属(英): en
• 著者所属(英): College of Humanities and Sciences, Nihon University
• 著者名: Toshiki, Onishi; Asahi, Ogushi; Shunichi, Kinoshita; Ryo, Ishii; Atsushi, Fukayama; Akihiro, Miyata
• 著者名(英): Toshiki, Onishi; Asahi, Ogushi; Shunichi, Kinoshita; Ryo, Ishii; Atsushi, Fukayama; Akihiro, Miyata
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Opportunities to remotely communicate have been increasing since the start of the COVID-19 pandemic. Praising behavior is considered an important element of daily life and social activities. However, many people are uncertain about the best way to praise a partner. Such individuals may have difficulty understanding how to behave in order to improve their own praising skills. To solve this problem, we aim to develop a system that automatically evaluates whether a person is praising the other person in a remote dialogue, and reviews the utterances in which the person is praising a partner. As a first step toward achieving this goal, we attempted to detect praising behaviors from speaker's multimodal information in remote dialogues. Specifically, we constructed machine learning models for detecting praising behaviors using a dialogue corpus that contains remote dialogue data and the results of judgments about praising behaviors. As a result, we clarified that the praising behaviors are detectable based on multimodal information in remote dialogues. Furthermore, we clarified that the highest detection performance was achieved with the praiser's linguistic information and the receiver's linguistic information.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.33(2025) (online); DOI http://dx.doi.org/10.2197/ipsjjip.33.31; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Opportunities to remotely communicate have been increasing since the start of the COVID-19 pandemic. Praising behavior is considered an important element of daily life and social activities. However, many people are uncertain about the best way to praise a partner. Such individuals may have difficulty understanding how to behave in order to improve their own praising skills. To solve this problem, we aim to develop a system that automatically evaluates whether a person is praising the other person in a remote dialogue, and reviews the utterances in which the person is praising a partner. As a first step toward achieving this goal, we attempted to detect praising behaviors from speaker's multimodal information in remote dialogues. Specifically, we constructed machine learning models for detecting praising behaviors using a dialogue corpus that contains remote dialogue data and the results of judgments about praising behaviors. As a result, we clarified that the praising behaviors are detectable based on multimodal information in remote dialogues. Furthermore, we clarified that the highest detection performance was achieved with the praiser's linguistic information and the receiver's linguistic information.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.33(2025) (online); DOI http://dx.doi.org/10.2197/ipsjjip.33.31; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 66, 号 1, 発行日 2025-01-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764
• 公開者 / 言語: ja
• 公開者 / 出版者: 情報処理学会