Digital Healing of Intangible Cultural Heritage: AIGC-Driven Craft Intervention for Elderly Cognitive Health

HU Qing, GONG Ting

Abstract

Addressing the dual challenges of global aging and endangered intangible cultural heritage(ICH) inherit , this study proposes an innovative "Digital Healing of ICH" theoretical framework. It explores Generative Artificial Intelligence(AIGC) as a core driver to transform ICH crafts into novel cognitive health interventions for older adults, with flow theory providing psychological insights into immersive craft experiences. The research identifies limitations in current art therapy(lack of personalization), ICH digitization(overemphasis on preservation over application), and digital health interventions(cultural shallowness). Employing design-based research and exploratory sequential mixed methods, it develops an AIGC-powered personalized ICH craft intervention prototype, with plans for a 12-week randomized controlled pilot involving older adults with mild cognitive impairment, incorporating multi-dimensional data collection. As a "cultural-cognitive scaffold," AIGC converts collective cultural memory into personalized visual symbols, fostering emotional resonance. This empowers older adults to construct positive self-narratives, strengthen social connections, and transition from passive treatment to active meaning-making. The framework bridges disciplinary divides, offering integrated approaches for art therapy, cognitive health promotion, and ICH revitalization, providing interdisciplinary solutions for aging and cultural heritage activation. Innovative AIGC applications in cultural heritage offer new pathways for ICH vitality, enhancing accessibility and interactivity through digital twins and immersive experiences.

Keywords

Digital healingGenerative Artificial Intelligence(AIGC)Intangible cultural heritageCraft interventionElderly cognitive healthArt therapyDesign-based research

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