Co-Creating GenAI-Generated Visualizations of People Living With Dementia

A Participatory Text-To-Image Method and Case-Based Evaluation

Bibliographic Data

ID19479214
AuthorsKristof Vrancken (0000-0001-7184-1753, LUCA School of Arts), Lisa Bormans (0009-0009-1968-4434, KU Leuven, corresponding author), B Van Gorp (0000-0003-2937-0665, KU Leuven)
Year2026
Volume25
Publication date2026-01-19
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Qualitative Methods (JOURNAL)
Journal identifiersISSN: 1609-4069 • E-ISSN: 1609-4069
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/16094069261436226
OpenAlexW7138273387
LanguageEN
References cited65

Generative Artificial Intelligence (GenAI) and large language models (LLMs) are increasingly shaping public perception of dementia through visual representations. These technologies often reproduce harmful and stigmatizing stereotypes that misrepresent the lived experiences of people living with dementia (PLWD). This article introduces and evaluates a three-phase framework for GenAI-facilitated co-creation sessions that centers PLWD as active co-creators in generating more authentic visual self-representations using GenAI. Through multiple case studies, key methodological and ethical challenges were explored, including strategies for effective prompting, approaches to creating recognizable yet dignified representations, and methods for including non-verbal PLWD as co-creators. Finally, the broader implications of this co-creative approach for challenging GenAI bias, future research and developing more ethical GenAI systems are discussed

Citizen journalism · Deliberation · Key (lock) · Participatory action research · Perception · Photovoice · Visual methods · Visual research · Innovative Human-Technology Interaction · Multimodal Machine Learning Applications · Persona Design and Applications