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%0 Conference Proceedings
%T Evaluating a Spoken Dialogue System that Detects and Adapts to User Affective States
%A Litman, Diane
%A Forbes-Riley, Katherine
%Y Georgila, Kallirroi
%Y Stone, Matthew
%Y Hastie, Helen
%Y Nenkova, Ani
%S Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)
%D 2014
%8 June
%I Association for Computational Linguistics
%C Philadelphia, PA, U.S.A.
%F litman-forbes-riley-2014-evaluating
%R 10.3115/v1/W14-4324
%U https://aclanthology.org/W14-4324
%U https://doi.org/10.3115/v1/W14-4324
%P 181-185

Markdown (Informal)

[Evaluating a Spoken Dialogue System that Detects and Adapts to User Affective States](https://aclanthology.org/W14-4324) (Litman & Forbes-Riley, SIGDIAL 2014)

• Evaluating a Spoken Dialogue System that Detects and Adapts to User Affective States (Litman & Forbes-Riley, SIGDIAL 2014)

ACL

• Diane Litman and Katherine Forbes-Riley. 2014. Evaluating a Spoken Dialogue System that Detects and Adapts to User Affective States. In Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), pages 181–185, Philadelphia, PA, U.S.A.. Association for Computational Linguistics.