NDLI: Estimate the intimacy of the characters based on their emotional states for application to non-task dialogue

Content Provider	IEEE Xplore Digital Library
Author	Matsumoto, K. Akita, K. Yoshida, M. Kita, K. Ren, F.
Copyright Year	2015
Description	Author affiliation: Fac. of Eng., Tokushima Univ., Tokushima, Japan (Matsumoto, K.; Yoshida, M.; Kita, K.; Ren, F.) \|\| Hitachi Syst., Osaka, Japan (Akita, K.)
Abstract	Recently, a portable digital device equipped with voice guidance has been widely used with increasing the demand for the usability-conscious dialogue system. One of the problems with the existing dialogue system is its immature application to non-task dialogue. Non-task-oriented dialogue requires some schemes that enable smooth and flexible conversations with a user. For example, it would be possible to go beyond the closed relationship between the system and the user by considering the user's relationship with others in real life. In this paper, we focused on the dialogue made by the two characters in a drama scenario, and tried to express their relationship with a scale of “intimacy degree.” There will be such various elements related to the intimacy degree as the frequency of response to the utterance and the attitude of a speaker during the dialogue. We focused on the emotional state of the speaker during the utterance and tried to realize intimacy estimation with higher accuracy. As the evaluation result, we achieved higher accuracy in intimacy estimation than the existing method based on speech role.
Starting Page	327
Ending Page	333
File Size	776355
Page Count	7
File Format	PDF
ISSN	21568111
e-ISBN	9781479999538
DOI	10.1109/ACII.2015.7344591
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Intimacy Estimaton Scenario Corpus Estimation Focusing Speech Natural language processing Electronic mail Dialogue Analysis Postal services Emotion Recognition
Content Type	Text
Resource Type	Article

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