Design and Evaluation of an AI-mediated Visual Co-Creation System for Participatory Cultural Heritage in Museums
In response to the limited participatory and experiential depth of traditional display-based museums, this study explores how AI can mediate more meaningful cultural engagement. It adopts a three-phase research pathway—CoDesign, CoCreation, and Evaluation—to reimagine how AI can support participatory cultural heritage experiences. Through CoDesign workshops with museum professionals, designers, and visitors, we iteratively developed an AI-mediated co-creative system integrating iPad sketching, gesture-based control, AI image generation, and a virtual exhibition environment. Based on 349 visitor responses, we applied PLS-SEM and fsQCA to examine how configurations of co-creative interaction design quality, embodied engagement, aesthetic experience, cultural participation, and cultural perception shape cultural identity. Findings show that AI-driven co-creative design significantly strengthens visitors’ cultural participation and cultural perception, while supporting immediate perceived cultural connection. These findings offer both a validated case of AI-enabled participatory heritage and transferable principles for museums transitioning toward co-creative, visitor-centered exhibition models.
Authors
- Bolun Zhang (ORCID: https://orcid.org/0009-0004-4840-1409)
- Han Cheng
- Lingyan Guo (ORCID: https://orcid.org/0000-0003-2074-3840)
- Da Sun (ORCID: https://orcid.org/0009-0007-5138-9828)
Institutions
- Tiangong University (CN)
- Hebei University of Science and Technology (CN)
- Hebei Chemical and Pharmaceutical College (CN)
- Hebei GEO University (CN)
Publication Details
- Journal
- Journal on Computing and Cultural Heritage
- Published
- 2026-08-25
- DOI
- https://doi.org/10.1145/3843237
- Primary Topic
- Virtual Reality Applications and Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00