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.

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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
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article

Design and Evaluation of an AI-mediated Visual Co-Creation System for Participatory Cultural Heritage in Museums

Bolun Zhang, Han Cheng, Lingyan Guo, Da Sun
Journal on Computing and Cultural Heritage
Virtual Reality Applications and Impacts
article

Design and Evaluation of an AI-mediated Visual Co-Creation System for Participatory Cultural Heritage in Museums

Bolun Zhang, Han Cheng, Lingyan Guo, Da Sun
article en

Abstract

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.

Journal on Computing and Cultural Heritage
Tiangong University (CN), Hebei University of Science and Technology (CN), Hebei Chemical and Pharmaceutical College (CN), Hebei GEO University (CN)
Sustainable cities and communities
Openalex Percentile: Top 7%
Virtual Reality Applications and Impacts
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Design and Evaluation of an AI-mediated Visual Co-Creation System for Participatory Cultural Heritage in Museums — Bolun Zhang, Han Cheng, et al. · Journal on Computing and Cultural Heritage (2026) | TGRS Research Map | TGRS