‘Uhm... Are you sure?’ An Exploratory Study of Trust Indicators in Robot-Directed Child Speech

Ella Velner, Thomas Beelen, Bob Schadenberg, Roeland Ordelman, Theo Huibers, Khiet P. Truong, Vanessa Evers

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

Abstract

In order to calibrate children’s trust in robots toward appropriate levels in the interaction, reliable trust measures are necessary. Current trust measures are not suitable for measuring children’s trust in a real-time manner. While speech from adult speakers has proven to contain information on their trust, this paper presents a first exploration investigating whether these results hold up in the context of a child-robot interaction. Fifty-eight conversations between children and robots were recorded (N=29), evoking high and low trust moments in the interaction. Correlation tests showed no (strong) predictors of children’s trust in their speech. Limitations and possibilities of how to advance the investigations of an automatic trust measure for child-robot interaction are discussed.

Original languageEnglish
Title of host publicationProceedings of the 24th ACM International Conference on Intelligent Virtual Agents, IVA 2024
PublisherAssociation for Computing Machinery
Number of pages4
ISBN (Electronic)9798400706257
DOIs
Publication statusPublished - 26 Dec 2024
Event24th ACM International Conference on Intelligent Virtual Agents, IVA 2024 - Glasgow, United Kingdom
Duration: 16 Sept 202419 Sept 2024
Conference number: 24

Conference

Conference24th ACM International Conference on Intelligent Virtual Agents, IVA 2024
Abbreviated titleIVA 2024
Country/TerritoryUnited Kingdom
CityGlasgow
Period16/09/2419/09/24

Keywords

  • 2025 OA procedure
  • human-robot interaction
  • paralinguistics
  • speech
  • trust
  • children

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