Consequences and Factors of Stylistic Differences in Human-Robot Dialogue

Stephanie Lukin, Kimberly Pollard, Claire Bonial, Matthew Marge, Cassidy Henry, Ron Artstein, David Traum, Clare Voss

Abstract
This paper identifies stylistic differences in instruction-giving observed in a corpus of human-robot dialogue. Differences in verbosity and structure (i.e., single-intent vs. multi-intent instructions) arose naturally without restrictions or prior guidance on how users should speak with the robot. Different styles were found to produce different rates of miscommunication, and correlations were found between style differences and individual user variation, trust, and interaction experience with the robot. Understanding potential consequences and factors that influence style can inform design of dialogue systems that are robust to natural variation from human users.
Anthology ID:
W18-5012
Volume:
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue
Month:
July
Year:
2018
Address:
Melbourne, Australia
Editors:
Kazunori Komatani, Diane Litman, Kai Yu, Alex Papangelis, Lawrence Cavedon, Mikio Nakano
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
110–118
Language:
URL:
https://aclanthology.org/W18-5012
DOI:
10.18653/v1/W18-5012
Bibkey:
Cite (ACL):
Stephanie Lukin, Kimberly Pollard, Claire Bonial, Matthew Marge, Cassidy Henry, Ron Artstein, David Traum, and Clare Voss. 2018. Consequences and Factors of Stylistic Differences in Human-Robot Dialogue. In Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, pages 110–118, Melbourne, Australia. Association for Computational Linguistics.
Cite (Informal):
Consequences and Factors of Stylistic Differences in Human-Robot Dialogue (Lukin et al., SIGDIAL 2018)
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PDF:
https://preview.aclanthology.org/nschneid-patch-4/W18-5012.pdf
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