Consequences and Factors of Stylistic Differences in Human-Robot Dialogue
July 21, 2018 ยท Declared Dead ยท ๐ SIGDIAL Conference
"No code URL or promise found in abstract"
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Authors
Stephanie M. Lukin, Kimberly A. Pollard, Claire Bonial, Matthew Marge, Cassidy Henry, Ron Arstein, David Traum, Clare R. Voss
arXiv ID
1807.08076
Category
cs.CL: Computation & Language
Cross-listed
cs.HC,
cs.RO
Citations
8
Venue
SIGDIAL Conference
Last Checked
5 months ago
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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