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

Merle M. Reimann, Koen V. Hindriks, Florian A. Kunneman, Catharine Oertel, Gabriel Skantze, Iolanda Leite

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    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 languageEnglish
    Title of host publicationHRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction
    PublisherIEEE
    Pages708-716
    Number of pages9
    ISBN (Electronic)9798350378931
    DOIs
    Publication statusPublished - 30 Apr 2025
    Event20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025 - Melbourne, Australia
    Duration: 4 Mar 20256 Mar 2025

    Publication series

    NameACM/IEEE International Conference on Human-Robot Interaction
    ISSN (Electronic)2167-2148

    Conference

    Conference20th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2025
    Country/TerritoryAustralia
    CityMelbourne
    Period4/03/256/03/25

    Bibliographical note

    Publisher Copyright:
    © 2025 IEEE.

    Keywords

    • dialogue management
    • Human-robot-interaction
    • spoken interaction
    • user study

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