A Systematic Framework for Interactive Modes in Cultural Heritage VR Serious Games.

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Bibliographic Details
Title: A Systematic Framework for Interactive Modes in Cultural Heritage VR Serious Games.
Authors: Liu, Xiao (AUTHOR), Byun, Jaehyung (AUTHOR), Seo, Jonghwan (AUTHOR), Zhang, Xinshuo (AUTHOR), Wang, Ruixue (AUTHOR)
Source: International Journal of Human-Computer Interaction. Mar2026, Vol. 42 Issue 6, p4633-4659. 27p.
Subjects: Virtual reality, Human-computer interaction, Educational games, Delphi method, Exploratory factor analysis, Software frameworks, Social interaction, Cultural property
Abstract: Virtual Reality (VR) serious games are gaining prominence in cultural heritage education and communication by enhancing user immersion and interaction. However, existing research lacks a systematic framework for classifying interaction modes in this context. This study addresses the gap through a systematic literature review (SLR), combined with a Delphi method (N = 21) and Exploratory Factor Analysis (EFA) (N = 308), to identify four core interaction dimensions encompassing 18 interaction mode items. EFA results (KMO = 0.803; Bartlett's test, p < 0.001) confirm the data's suitability for factor analysis and support the structural validity of the four-factor model: participatory, cognitive, perceptual, and social interaction. The proposed framework offers a structured approach to classifying interaction in VR serious games, providing designers and developers in cultural heritage with a solid theoretical basis and actionable insights. This contributes to advancing research and the application of human-computer interaction in VR cultural heritage serious games. [ABSTRACT FROM AUTHOR]
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Database: Psychology and Behavioral Sciences Collection
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Abstract:Virtual Reality (VR) serious games are gaining prominence in cultural heritage education and communication by enhancing user immersion and interaction. However, existing research lacks a systematic framework for classifying interaction modes in this context. This study addresses the gap through a systematic literature review (SLR), combined with a Delphi method (N = 21) and Exploratory Factor Analysis (EFA) (N = 308), to identify four core interaction dimensions encompassing 18 interaction mode items. EFA results (KMO = 0.803; Bartlett's test, p < 0.001) confirm the data's suitability for factor analysis and support the structural validity of the four-factor model: participatory, cognitive, perceptual, and social interaction. The proposed framework offers a structured approach to classifying interaction in VR serious games, providing designers and developers in cultural heritage with a solid theoretical basis and actionable insights. This contributes to advancing research and the application of human-computer interaction in VR cultural heritage serious games. [ABSTRACT FROM AUTHOR]
ISSN:10447318
DOI:10.1080/10447318.2025.2541253