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

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/64118

Title: Towards Context Aware Emotional Intelligence in Machines : Computing Contextual Appropriateness of Affective States
Authors: Ptaszynski, Michal Browse this author
Dybala, Pawel Browse this author
Shi, Wenhan Browse this author
Rzepka, Rafal Browse this author →KAKEN DB
Araki, Kenji Browse this author →KAKEN DB
Issue Date: 2009
Publisher: AAAI
Journal Title: Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09)
Start Page: 1469
End Page: 1474
Abstract: 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.
Conference Name: International Joint Conference on Artificial Intelligence (IJCAI)
Conference Sequence: 21
Conference Place: Pasadena, California
Type: proceedings
URI: http://hdl.handle.net/2115/64118
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: Rzepka, Rafal

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