Consequences and Factors of Stylistic Differences in Human-Robot Dialogue (bibtex)
by Lukin, Stephanie M., Pollard, Kimberly A., Bonial, Claire, Marge, Matthew, Henry, Cassidy, Artstein, Ron, Traum, David and Voss, Clare R.
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.
Reference:
Consequences and Factors of Stylistic Differences in Human-Robot Dialogue (Lukin, Stephanie M., Pollard, Kimberly A., Bonial, Claire, Marge, Matthew, Henry, Cassidy, Artstein, Ron, Traum, David and Voss, Clare R.), In Proceedings of the SIGDIAL 2018 Conference, Association for Computational Linguistics, 2018.
Bibtex Entry:
@inproceedings{lukin_consequences_2018,
	address = {Melbourne, Australia},
	title = {Consequences and {Factors} of {Stylistic} {Differences} in {Human}-{Robot} {Dialogue}},
	url = {https://www.aclweb.org/anthology/papers/W/W18/W18-5012/},
	doi = {10.18653/v1/W18-5012},
	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.},
	booktitle = {Proceedings of the {SIGDIAL} 2018 {Conference}},
	publisher = {Association for Computational Linguistics},
	author = {Lukin, Stephanie M. and Pollard, Kimberly A. and Bonial, Claire and Marge, Matthew and Henry, Cassidy and Artstein, Ron and Traum, David and Voss, Clare R.},
	month = jul,
	year = {2018},
	keywords = {Virtual Humans, UARC, ARL, DoD},
	pages = {110--118}
}
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