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

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

Datos Bibliográficos

ID19479214
AutoresKristof Vrancken (0000-0001-7184-1753, LUCA School of Arts), Lisa Bormans (0009-0009-1968-4434, KU Leuven, autor de correspondencia), B Van Gorp (0000-0003-2937-0665, KU Leuven)
Año2026
Volumen25
Fecha de publicación2026-01-19
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Qualitative Methods (JOURNAL)
Identificadores de la revistaISSN: 1609-4069 • E-ISSN: 1609-4069
EditorialSAGE Publications (PUBLISHER • US)
DOI10.1177/16094069261436226
OpenAlexW7138273387
IdiomaEN
Referencias citadas65

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