@inproceedings{lukin-etal-2018-consequences,
title = "Consequences and Factors of Stylistic Differences in Human-Robot Dialogue",
author = "Lukin, Stephanie and
Pollard, Kimberly and
Bonial, Claire and
Marge, Matthew and
Henry, Cassidy and
Artstein, Ron and
Traum, David and
Voss, Clare",
editor = "Komatani, Kazunori and
Litman, Diane and
Yu, Kai and
Papangelis, Alex and
Cavedon, Lawrence and
Nakano, Mikio",
booktitle = "Proceedings of the 19th Annual {SIG}dial Meeting on Discourse and Dialogue",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-5012",
doi = "10.18653/v1/W18-5012",
pages = "110--118",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Consequences and Factors of Stylistic Differences in Human-Robot Dialogue
%A Lukin, Stephanie
%A Pollard, Kimberly
%A Bonial, Claire
%A Marge, Matthew
%A Henry, Cassidy
%A Artstein, Ron
%A Traum, David
%A Voss, Clare
%Y Komatani, Kazunori
%Y Litman, Diane
%Y Yu, Kai
%Y Papangelis, Alex
%Y Cavedon, Lawrence
%Y Nakano, Mikio
%S Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F lukin-etal-2018-consequences
%X 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.
%R 10.18653/v1/W18-5012
%U https://aclanthology.org/W18-5012
%U https://doi.org/10.18653/v1/W18-5012
%P 110-118
Markdown (Informal)
[Consequences and Factors of Stylistic Differences in Human-Robot Dialogue](https://aclanthology.org/W18-5012) (Lukin et al., SIGDIAL 2018)
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.