Identifying key factors influencing immersive experiences in virtual reality enhanced museums

This study investigates how virtual reality (VR) technology shapes immersive experiences in museum environments. It aims to identify the critical factors that determine the quality and effectiveness of immersion and to explore whether overlooked peripheral elements-beyond core constructs such as the Technology Acceptance Model (TAM)-significantly influence user experience. To address these questions, a multi-dimensional, hierarchical indicator framework was developed, encompassing technical, behavioral, and cultural dimensions. The Analytic Hierarchy Process (AHP) was employed to analyze weighted evaluations from expert panels in China and South Korea.The results indicate that core technical indicators-such as Perceived Usefulness and Perceived Ease of Use-received the highest weights, reaffirming the explanatory power of TAM in VR-based museum applications. Meanwhile, peripheral indicators-including Interactivity, Atmosphere Building, Regional Characteristics, and Authority-played a moderating role in enhancing user engagement, contextual coherence, and trust. These findings reveal deeper psychological and cultural drivers of immersive experiences. Accordingly, this study proposes a conceptual framework that moves beyond technological determinism by integrating user motivation and cultural context, offering both theoretical insight and practical guidance for optimizing VR exhibition design in museums undergoing digital transformation.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-08-30
DOI
https://doi.org/10.1038/s41598-025-15628-y
Citations
6
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
11.62

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying key factors influencing immersive experiences in virtual reality enhanced museums

Ning Wang, Zhimin Li, Jinling Wang, Chaochuan Jia
6 citations
Scientific Reports
Virtual Reality Applications and Impacts
11.62
article

Identifying key factors influencing immersive experiences in virtual reality enhanced museums

Ning Wang, Zhimin Li, Jinling Wang, Chaochuan Jia
article en
6 citations

Abstract

This study investigates how virtual reality (VR) technology shapes immersive experiences in museum environments. It aims to identify the critical factors that determine the quality and effectiveness of immersion and to explore whether overlooked peripheral elements-beyond core constructs such as the Technology Acceptance Model (TAM)-significantly influence user experience. To address these questions, a multi-dimensional, hierarchical indicator framework was developed, encompassing technical, behavioral, and cultural dimensions. The Analytic Hierarchy Process (AHP) was employed to analyze weighted evaluations from expert panels in China and South Korea.The results indicate that core technical indicators-such as Perceived Usefulness and Perceived Ease of Use-received the highest weights, reaffirming the explanatory power of TAM in VR-based museum applications. Meanwhile, peripheral indicators-including Interactivity, Atmosphere Building, Regional Characteristics, and Authority-played a moderating role in enhancing user engagement, contextual coherence, and trust. These findings reveal deeper psychological and cultural drivers of immersive experiences. Accordingly, this study proposes a conceptual framework that moves beyond technological determinism by integrating user motivation and cultural context, offering both theoretical insight and practical guidance for optimizing VR exhibition design in museums undergoing digital transformation.

Scientific ReportsVol. 15(1)
Anhui University of Finance and Economics (CN), Kyungpook National University (KR), Central China Normal University (CN), Hankuk University of Foreign Studies (KR)
Ministry of Education of the People's Republic of China
Openalex Percentile: Top 1%
Virtual Reality Applications and Impacts
11.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.