Evidence map›Paper›PMID 41993826›Full record

ArticleFrontiers in psychology2026

Beyond immersion: disentangling the technological and social drivers of visitor satisfaction in XR art exhibitions.

Yuhan Chen, Mengxin Li

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yuhan ChenDepartment of Visual Communication Design, School of Art and Media, Sichuan Agricultural University, Ya'an, China.
Mengxin LiDepartment of Visual Communication Design, School of Art and Media, Sichuan Agricultural University, Ya'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although Extended Reality (XR) has fundamentally reshaped curatorial practices in art exhibitions, the psychological mechanisms underlying technology acceptance and revisit intention remain poorly understood. Current research has largely focused on hardware fidelity and passive sensory immersion, providing limited insight into the socio-psychological drivers of user experience and continuous visiting behavior. Methods: To address this, we developed and validated an integrated socio-technical framework that links XR technological capabilities (presence, immersion, and interactivity) with a simplified, context-adapted version of the Unified Theory of Acceptance and Use of Technology (UTAUT2), alongside multidimensional viewing satisfaction and revisit intention. We analyzed survey data from 387 participants with direct experience of XR art exhibitions using a two-step structural equation modeling (SEM) approach. First, confirmatory factor analysis was conducted for psychometric validation of the measurement model. Second, path analysis was employed to test the proposed hypotheses using a bias-corrected bootstrap approach to verify the mediation effects. Results: Our results showed that both XR technological affordances ( Discussion: This study offers a more structured socio-technical explanation of XR user experience and provides practical guidance for immersive art exhibition practitioners seeking to enhance revisit intention. These findings extend existing theories by integrating socio-psychological factors with technological affordances, highlighting the importance of social influence in immersive exhibition contexts.

Indexed as

art exhibitionsextended realityrevisit intentionsimplified UTAUT2technological affordancesviewing satisfaction

Identifiers

PMID41993826
PMCPMC13079572

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.