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Child-centered interaction and trust in conversational AI
Department of Computer Science, University of Bari, Bari, Italy.
Department of Computer Science, University of Rochester, NY, New York, United States.
Informatics Institute, University of Amsterdam, Amsterdam, Netherlands.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-2282-9939
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2025 (English)In: IDC '25: Proceedings of the 24th Interaction Design and Children, ACM Digital Library, 2025, p. 1235-1238Conference paper, Published paper (Refereed)
Abstract [en]

As children face global challenges, creating environments that nurture hope and empower them to shape a fair, transparent future is essential. Conversational AI systems (CAIs) offer opportunities for cognitive and emotional growth, with trust built through transparent, responsive interactions. This workshop offers participants a hands-on opportunity to analyze child-CAI interactions, bringing their own use cases alongside pre-recorded examples from five countries provided by organizers. In collaboration with a diverse group of stakeholders, the focus will be on identifying the human factors that influence trust in child-AI interactions, aiming to advance guidelines for building transparent, trustworthy conversational AI systems.

Place, publisher, year, edition, pages
ACM Digital Library, 2025. p. 1235-1238
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:umu:diva-242303DOI: 10.1145/3713043.3734471Scopus ID: 2-s2.0-105010326418ISBN: 9798400714733 (electronic)OAI: oai:DiVA.org:umu-242303DiVA, id: diva2:1985065
Conference
24th Annual ACM Interaction Design and Children Conference, IDC 2025, Reykjavik, Iceland, June 23-26, 2025
Available from: 2025-07-21 Created: 2025-07-21 Last updated: 2025-07-21Bibliographically approved

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Güneysu, Arzu

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Total: 54 hits
CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf