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Evaluating a spoken dialogue system that detects and adapts to user affective states

Litman, D and Forbes-Riley, K (2014) Evaluating a spoken dialogue system that detects and adapts to user affective states. In: UNSPECIFIED.

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Abstract

© 2014 Association for Computational Linguistics. We present an evaluation of a spoken dialogue system that detects and adapts to user disengagement and uncertainty in real-time. We compare this version of our system to a version that adapts to only user disengagement, and to a version that ignores user disengagement and uncertainty entirely. We find a significant increase in task success when comparing both affectadaptive versions of our system to our nonadaptive baseline, but only for male users.

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Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Litman, Ddlitman@pitt.eduDLITMAN
Forbes-Riley, K
Centers: Other Centers, Institutes, Offices, or Units > Learning Research & Development Center
Date: 1 January 2014
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: SIGDIAL 2014 - 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference
Page Range: 181 - 185
Event Type: Conference
DOI or Unique Handle: 10.3115/v1/w14-4324
Institution: University of Pittsburgh
Schools and Programs: Dietrich School of Arts and Sciences > Computer Science
Dietrich School of Arts and Sciences > Computer Science > Intelligent Systems Technical Reports
Refereed: Yes
ISBN: 9781941643211
Related URLs:
Date Deposited: 14 Aug 2014 15:52
Last Modified: 04 Jul 2020 13:55
URI: http://d-scholarship.pitt.edu/id/eprint/22677

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