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Towards Context Aware Emotional Intelligence in Machines : Computing Contextual Appropriateness of Affective States

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タイトル: Towards Context Aware Emotional Intelligence in Machines : Computing Contextual Appropriateness of Affective States
著者: Michal, Ptaszynski 著作を一覧する
Pawel, Dybala 著作を一覧する
Wenhan, Shi 著作を一覧する
Rafal, Rzepka 著作を一覧する
Kenji, Araki 著作を一覧する
発行日: 2009年
出版者: AAAI
誌名: Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09)
開始ページ: 1469
終了ページ: 1474
抄録: This paper presents a novel approach to the estimationof user’s affective states in Human-ComputerInteraction. Most of the present approaches divideemotions strictly between positive or negative.However, recent discoveries in the field of EmotionalIntelligence show that emotions should berather perceived as context-sensitive engagementswith the world. This leads to a need to specifywhether the emotions conveyed in a conversationare appropriate for a situation they are expressedin. In the proposed method we use a system foraffect analysis on textual input to recognize usersemotions and a Web mining technique to verify thecontextual appropriateness of those emotions. Onthis basis a conversational agent can choose to eithersympathize with the user or help them managetheir emotions. Finally, the results of evaluationof the proposed method with two different conversationalagents are discussed, and perspectives forfurther development of the method are proposed.
資料タイプ: proceedings
URI: http://hdl.handle.net/2115/64118
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: Rafal Rzepka

 

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