Abstract
In the context of Beijing ’ s Central Axis heritage development, this study explores determinants of user engagement and sustained learning intentions in digital cultural heritage education—a critical focus for advancing "Design Next" principles in interactive heritage design. Integrating the Hedonic Motivation System Adoption Model (HMSAM), Embodied Cognition theory, and Information System Success Model, the research evaluates the "Kanwo Tiandi Zhongzhou" VR device, introducing variables like Situational Immersion (SI) and Perceived Control (PC) with curiosity and entertainment as mediating factors. Using Bayesian-SEM and fsQCA on 310 survey responses, findings reveal that system quality and information quality of the VR device significantly drive sustained learning intentions, while interactive usability, timely feedback, and situational immersion emerge as key design-driven determinants. Notably, fuzzy-set analysis shows curiosity acts as the primary intrinsic driver forhigh-engagement scenarios, whereas interactive usability servesas a threshold condition for maintaining learning intent in low-engagement contexts. These insights inform "Design Next" imperatives by highlighting how user-centered design elements—such as immersive interaction frameworks and adaptive feedback systems — can enhance digital heritage education. The study contributes a novel theoretical framework for integrating behavioral science with interactive design, offering practical recommendations to align VR-based heritage experiences with emerging design paradigms focused on sustained user engagement.
Keywords
Beijing Central Axis; Bayesian-SEM; Fs QCA; Deep Usage Willingness
DOI
https://doi.org/10.21606/iasdr.2025.1113
Citation
Zhang, M., Deng, B.,and Zhang, A.(2025) User Engagement and Continued Learning Intentions in Digital Cultural Heritage Education: Beijing's Central Axis via Bayesian SEM and fsQCA, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.1113
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 11 - Culture and Craft Design for Regenerative Practices
User Engagement and Continued Learning Intentions in Digital Cultural Heritage Education: Beijing's Central Axis via Bayesian SEM and fsQCA
In the context of Beijing ’ s Central Axis heritage development, this study explores determinants of user engagement and sustained learning intentions in digital cultural heritage education—a critical focus for advancing "Design Next" principles in interactive heritage design. Integrating the Hedonic Motivation System Adoption Model (HMSAM), Embodied Cognition theory, and Information System Success Model, the research evaluates the "Kanwo Tiandi Zhongzhou" VR device, introducing variables like Situational Immersion (SI) and Perceived Control (PC) with curiosity and entertainment as mediating factors. Using Bayesian-SEM and fsQCA on 310 survey responses, findings reveal that system quality and information quality of the VR device significantly drive sustained learning intentions, while interactive usability, timely feedback, and situational immersion emerge as key design-driven determinants. Notably, fuzzy-set analysis shows curiosity acts as the primary intrinsic driver forhigh-engagement scenarios, whereas interactive usability servesas a threshold condition for maintaining learning intent in low-engagement contexts. These insights inform "Design Next" imperatives by highlighting how user-centered design elements—such as immersive interaction frameworks and adaptive feedback systems — can enhance digital heritage education. The study contributes a novel theoretical framework for integrating behavioral science with interactive design, offering practical recommendations to align VR-based heritage experiences with emerging design paradigms focused on sustained user engagement.