Using emotion to gain rapport in a spoken dialog system

Authors:
Jaime C. Acosta
Affiliations:
University of Texas at El Paso, El Paso, TX
Venue:
SRWS '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
Year:
2009

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Abstract

This paper describes research on automatically building rapport. This is done by adapting responses in a spoken dialog system to users' emotions as inferred from nonverbal voice properties. Emotions and their acoustic correlates will be extracted from a persuasive dialog corpus and will be used to implement an emotionally intelligent dialog system; one that can recognize emotion, choose an optimal strategy for gaining rapport, and render a response that contains appropriate emotion, both lexically and auditory. In order to determine the value of emotion modeling for gaining rapport in a spoken dialog system, the final implementation will be evaluated using different configurations through a user study.