Cited by 54Speech and dialogue systemsSpeech Recognition and SynthesisNatural Language Processing Techniques

Analysis of user behavior under error conditions in spoken dialogs

Shin, Jongho, Narayanan, Shrikanth S., Gerber, Laurie, Kazemzadeh, Abe, Byrd, Dani·2002·7th International Conference on Spoken Language Processing (ICSLP 2002)

Abstract

We focus on developing an account of user behavior under error conditions, working with annotated data from real human-machine mixed initiative dialogs. In particular, we examine categories of error perception, user behavior under error, effect of user strategies on error recovery, and the role of user initiative in error situations. A conditional probability model smoothed by weighted ASR error rate is proposed. Results show that users discovering errors through implicit confirmations are less likely to get back on track (or succeed) and take a longer time in doing so than other forms of error discovery such as system reject and reprompts. Further successful user error-recovery strategies included more rephrasing, less contradicting, and a tendency to terminate error episodes (cancel and startover) than to attempt at repairing a chain of errors.

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Crossref · 10.21437/icslp.2002-567

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Authors
Shin, J., Narayanan, S. S., Gerber, L., Kazemzadeh, A., & Byrd, D.
Venue
7th International Conference on Spoken Language Processing (ICSLP 2002)
Publisher
ISCA
Published
2002-09-16
Pages
2069-2072
OpenAlex
W2151600365
Cited by
54
References
8
Citations by year
2024: 1 · 2022: 1 · 2021: 2 · 2020: 1 · 2018: 2 · 2017: 2 · 2016: 2 · 2015: 1 · 2014: 4 · 2013: 4 · 2012: 4
FWCI
2.17
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on Spoken Language Processing (ICSLP) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
Keywords
spoken dialogue systems, error recovery, user behavior, error perception, user strategies, conditional probability model, paraphrase

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