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 language | English |
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Title of host publication | Proceedings of the 24th ACM International Conference on Intelligent Virtual Agents, IVA 2024 |
Publisher | Association for Computing Machinery |
Number of pages | 4 |
ISBN (Electronic) | 9798400706257 |
DOIs | |
Publication status | Published - 26 Dec 2024 |
Event | 24th ACM International Conference on Intelligent Virtual Agents, IVA 2024 - Glasgow, United Kingdom Duration: 16 Sept 2024 → 19 Sept 2024 Conference number: 24 |
Conference
Conference | 24th ACM International Conference on Intelligent Virtual Agents, IVA 2024 |
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Abbreviated title | IVA 2024 |
Country/Territory | United Kingdom |
City | Glasgow |
Period | 16/09/24 → 19/09/24 |
Keywords
- 2025 OA procedure
- human-robot interaction
- paralinguistics
- speech
- trust
- children