What Can You Say to a Robot? Capability Communication Leads to More Natural Conversations

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.

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Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/hri61500.2025.10974151
Citations
9
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
10.93
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article

What Can You Say to a Robot? Capability Communication Leads to More Natural Conversations

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9 citations
Robotics and Automated Systems
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article

What Can You Say to a Robot? Capability Communication Leads to More Natural Conversations

Catharine Oertel, Florian Kunneman, Koen V. Hindriks, Iolanda Leite, Gabriel Skantze, Merle M. Reimann
article en
9 citations

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.

Utrecht University (NL), Vrije Universiteit Amsterdam (NL), KTH Royal Institute of Technology (SE), Delft University of Technology (NL)
Openalex Percentile: Top 1%
Robotics and Automated Systems
10.93
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