Cited by 36Social Robot Interaction and HRISpeech and dialogue systemsLanguage, Discourse, Communication Strategies

Recipient design in human–robot interaction: the emergent assessment of a robot’s competence

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Tuncer, Sylvaine, Licoppe, Christian, Luff, Paul, Heath, Christian·2024·AI & SOCIETY

Abstract

Abstract People meeting a robot for the first time do not know what it is capable of and therefore how to interact with it—what actions to produce, and how to produce them. Despite social robotics’ long-standing interest in the effects of robots’ appearance and conduct on users, and efforts to identify factors likely to improve human–robot interaction, little attention has been paid to how participants evaluate their robotic partner in the unfolding of actual interactions. This paper draws from qualitative analyses of video-recorded interactions between a robot and groups of participants, in the framework of ethnomethodology and conversation analysis. We analyse the particular ways in which participants shape their embodied actions, how they can reproduce a prior action that failed to obtain a response from the robot; and how they explore the robot’s embodied nature. We find a set of recurrent methods or practices, showing that robot-recipient design displays not only participants’ initial assumptions about the robot’s competences, but also more importantly perhaps their continuous assessment of the robot’s behaviour, and their attempts to adapt to it. Participants locally produce and constantly revise their understanding of the robot as a more or less competent co-participant, drawing from its past, current, and projected conduct and responsiveness. We discuss the implications of these findings for research in robotics and human–robot interactions, and the value of the approach to shed new light on old questions by paying attention to the quality of gesture and the sequential organisation of interaction.

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  • Studies of recipient design in talk to/with robots reveal users' assumptions about the interactional competence of their robotic co-participants and demonstrate the methods they use to make themselves understood given those assumptions.

    “For example, studies of recipient design in talk to/with robots (Pelikan and Broth 2016; Avgustis et al. 2021; Tuncer et al. 2023) reveal users' assumptions about the interactional competence of their (robotic) co-participants, and demonstrate the methods they use to make themselves understood given those assumptions.”

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Cited by

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Authors
Tuncer, S., Licoppe, C., Luff, P., & Heath, C.
Affiliations
  • King's College London (GB)
  • Télécom Paris (FR)
Corresponding author
Tuncer, Sylvaine
Venue
AI & SOCIETY
Published
2023-01-05
Volume
39
Issue
4
Pages
1795-1810
ISSN
  • 0951-5666 (ISSN-L)
  • 1435-5655
OpenAlex
W4313571751
Cited by
36
References
3
Citations by year
2026: 12 · 2025: 11 · 2024: 9 · 2023: 4
FWCI
10.68
Type
journal article
Language
en
Open access
Locations
  • AI & Society (publishedVersion, cc-by)
  • Research Portal (King's College London) (submittedVersion, cc-by)
  • HAL (submittedVersion)
Funders
King’s College London
Topics
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
  • Social Sciences › Arts and Humanities › Language and Linguistics › Language, Discourse, Communication Strategies
Keywords
human-robot interaction, recipient design, social robotics, embodied action, ethnomethodology, conversation analysis

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