Abstract
When encountering a robot in the wild, it is not inherently clear to human users what the robot's capabilities are. When encountering misunderstandings or problems in spoken interaction, robots often just apologize and move on, without additional effort to make sure the user understands what happened. We set out to compare the effect of two speech based capability communication strategies (proactive, reactive) to a robot without such a strategy, in regard to the user's rating of and their behavior during the interaction. For this, we conducted an in-person user study with 120 participants who had three speech-based interactions with a social robot in a restaurant setting. Our results suggest that users preferred the robot communicating its capabilities proactively and adjusted their behavior in those interactions, using a more conversational interaction style while also enjoying the interaction more.
Original language | English |
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Title of host publication | HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction |
Publisher | IEEE |
Pages | 708-716 |
Number of pages | 9 |
ISBN (Electronic) | 9798350378931 |
DOIs | |
Publication status | Published - 30 Apr 2025 |
Event | 20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025 - Melbourne, Australia Duration: 4 Mar 2025 → 6 Mar 2025 |
Publication series
Name | ACM/IEEE International Conference on Human-Robot Interaction |
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ISSN (Electronic) | 2167-2148 |
Conference
Conference | 20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025 |
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Country/Territory | Australia |
City | Melbourne |
Period | 4/03/25 → 6/03/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
Keywords
- dialogue management
- Human-robot-interaction
- spoken interaction
- user study