Intonation in robot speech Does it work the same as with people?

Open Access
Authors
Publication date 2020
Book title HRI '20
Book subtitle Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction : March 23-26, 2020, Cambridge, United Kingdom
ISBN (electronic)
  • 9781450367462
Event 15th ACM/IEEE International Conference on Human-Robot Interaction
Pages (from-to) 569-578
Number of pages 10
Publisher New York, NY: The Association for Computing Machinery
Organisations
  • Faculty of Humanities (FGw) - Amsterdam Institute for Humanities Research (AIHR) - Amsterdam Center for Language and Communication (ACLC)
Abstract

Human-robot interaction (HRI) research aims to design natural interactions between humans and robots. Intonation, a social signaling function in human speech investigated thoroughly in linguistics, has not yet been studied in HRI. This study investigates the effect of robot speech intonation in four conditions (no intonation, focus intonation, end-of-utterance intonation, or combined intonation) on conversational naturalness, social engagement, and people's humanlike perception of the robot collecting objective and subjective data of participant conversations (n = 120). Our results showed that humanlike intonation partially improved subjective naturalness but not observed fluency, and that intonation partially improved social engagement but did not affect humanlike perceptions of the robot. Given that our results mainly differed from our hypotheses based on human speech intonation, we discuss the implications and provide suggestions for future research to further investigate conversational naturalness in robot speech intonation.

Document type Conference contribution
Note With supplementary sound file.
Language English
Published at https://doi.org/10.1145/3319502.3374801
Other links https://www.scopus.com/pages/publications/85082002607
Downloads
3319502.3374801 (Final published version)
Supplementary materials
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