Consequences and Factors of Stylistic Differences in Human-Robot Dialogue
| Autor: | Clare R. Voss, Claire Bonial, Ron Artstein, Cassidy Henry, Kimberly A. Pollard, Stephanie M. Lukin, David Traum, Matthew Marge |
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| Rok vydání: | 2018 |
| Předmět: |
060201 languages & linguistics
Structure (mathematical logic) FOS: Computer and information sciences Computer Science - Computation and Language Computer science Computer Science - Human-Computer Interaction 06 humanities and the arts 02 engineering and technology Natural variation Human–robot interaction Style (sociolinguistics) Human-Computer Interaction (cs.HC) Computer Science - Robotics Variation (linguistics) 0602 languages and literature 0202 electrical engineering electronic engineering information engineering medicine Robot 020201 artificial intelligence & image processing medicine.symptom Verbosity Computation and Language (cs.CL) Robotics (cs.RO) Cognitive psychology |
| Zdroj: | SIGDIAL Conference |
| DOI: | 10.48550/arxiv.1807.08076 |
| Popis: | 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. Comment: Originally published in the Proceedings of the 19th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2018 |
| Databáze: | OpenAIRE |
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