Creation-as-transmission: a cognitive-based framework for cultural heritage learning through AI collaborative creation

Abstract Digital transmission of traditional cultural heritage faces challenges of insufficient user engagement and superficial dissemination. Using the Cizhou kiln as a case study, this research proposes the “Creation-as-Transmission” design paradigm, which transcends traditional unidirectional display models by transforming users from cultural consumers to cultural co-creators. This paradigm systematically integrates situated cognition theory and co-creation theory, achieving deep cultural learning and socialized transmission through AI collaborative creation. Empirical studies ( N = 200) demonstrate that compared to traditional methods, this paradigm significantly enhances cultural cognition (74% improvement) and the proportion of spontaneous sharing on social media (82.6% sharing rate). More importantly, this research provides the first quantification of causal mechanisms between creative behaviors and cultural cognition, establishing a predictive model explaining 73.1% of cognitive variance and offering mechanistic evidence for situated learning theory’s application in cultural heritage transmission. The research contributions have threefold value: theoretically, it expands HCI understanding of the relationship between “design behaviors and cognitive effects”; methodologically, it provides a transferable implementation framework for other intangible cultural heritage; practically, it opens new pathways for digital technologies to promote sustainable cultural transmission.

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Publication Details

Journal
Artificial intelligence for engineering design analysis and manufacturing
Published
2026-01-01
DOI
https://doi.org/10.1017/s0890060426100237
Primary Topic
Innovative Human-Technology Interaction
Type
article
Field-Weighted Citation Impact
0.00
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article

Creation-as-transmission: a cognitive-based framework for cultural heritage learning through AI collaborative creation

Junfeng Wang, Xiaolong Wang, Yin Cui, ShiJun Ge
Artificial intelligence for engineering design analysis and manufacturing
Innovative Human-Technology Interaction
article

Creation-as-transmission: a cognitive-based framework for cultural heritage learning through AI collaborative creation

Junfeng Wang, Xiaolong Wang, Yin Cui, ShiJun Ge
article en

Abstract

Abstract Digital transmission of traditional cultural heritage faces challenges of insufficient user engagement and superficial dissemination. Using the Cizhou kiln as a case study, this research proposes the “Creation-as-Transmission” design paradigm, which transcends traditional unidirectional display models by transforming users from cultural consumers to cultural co-creators. This paradigm systematically integrates situated cognition theory and co-creation theory, achieving deep cultural learning and socialized transmission through AI collaborative creation. Empirical studies ( N = 200) demonstrate that compared to traditional methods, this paradigm significantly enhances cultural cognition (74% improvement) and the proportion of spontaneous sharing on social media (82.6% sharing rate). More importantly, this research provides the first quantification of causal mechanisms between creative behaviors and cultural cognition, establishing a predictive model explaining 73.1% of cognitive variance and offering mechanistic evidence for situated learning theory’s application in cultural heritage transmission. The research contributions have threefold value: theoretically, it expands HCI understanding of the relationship between “design behaviors and cognitive effects”; methodologically, it provides a transferable implementation framework for other intangible cultural heritage; practically, it opens new pathways for digital technologies to promote sustainable cultural transmission.

Artificial intelligence for engineering design analysis and manufacturingVol. 40
Shenzhen Technology University (CN), Beijing City University (CN)
Sustainable cities and communities
Openalex Percentile: Top 3%
Innovative Human-Technology Interaction
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Creation-as-transmission: a cognitive-based framework for cultural heritage learning through AI collaborative creation — Junfeng Wang, Xiaolong Wang, et al. · Artificial intelligence for engineering design analysis and manufacturing (2026) | TGRS Research Map | TGRS