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Experts' perception of ai-generated personalised stories for health promotion
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-7267-6534
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-1290-9441
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-8430-4241
2026 (English)In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 336, p. 660-664Article in journal (Refereed) Published
Abstract [en]

A qualitative study is presented aimed to explore how person-tailored stories generated by a storytelling system agent built on a combination of argumentation theory and large language models (LLM) can support a person in reflecting on activities promoting health and potential lifestyle changes. We conducted a formative evaluation with ten domain experts to explore perceived purposes, benefits and risks. They saw both potential opportunities, if applied with a clear purpose for their target groups, and risks in using LLM-based stories for health reflection if not carefully designed to adapt to an individual's needs. The results will guide further design and implementation of the storytelling functionality, and studies involving older adults.

Place, publisher, year, edition, pages
IOS Press, 2026. Vol. 336, p. 660-664
Keywords [en]
Argumentation Theory, Artificial Intelligence, Behaviour change, Co-design, Health promotion, Large language models, Personalisation, Storytelling
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-254078DOI: 10.3233/SHTI260253PubMedID: 42174928Scopus ID: 2-s2.0-105039957636OAI: oai:DiVA.org:umu-254078DiVA, id: diva2:2069004
Available from: 2026-06-10 Created: 2026-06-10 Last updated: 2026-06-10Bibliographically approved

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Baskar, JayalakshmiKaelin, Vera C.Lindgren, Helena

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