Evidence map›Paper›PMID 40176781›Full record

ArticleInformation research2025

Beyond the hype: longitudinal trends in virtual reality perceptions beyond the COVID-19 pandemic.

Christopher Ball, Kuo-Ting Huang, Jess Francis-Levin

Abstract read
In one paragraph

Article in Information research, 2025. 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
–field-weighted citation impact
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

3 authors.

Christopher BallDepartment of Journalism and Institute of Communications Research, University of Illinois at Urbana-Champaign, Illinois, USA.
Kuo-Ting HuangSchool of Computing and Information, University of Pittsburgh, Pennsylvania, USA.
Jess Francis-LevinInstitute for Social Research, University of Michigan, Michigan, USA.

Funding

Virtual Convoys: A Social VR Approach to Reducing ADRD risk among Older Adults Living Alone (NIA)K01AG083120 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Francis · 2024 to 2026
$410k
NIA NIH HHS K01 AG083120
6 · The paper itself

Abstract

Introduction: The metaverse is shaped significantly by spatial computing technologies, such as virtual reality (VR). However, the promise of a VR-facilitated metaverse remains unfulfilled, and public perceptions of these technologies are fluid. Therefore, this study investigates perceptions and intentions to use VR over three years, both during and after the COVID-19 pandemic. Method: We conducted three waves of cross-sectional surveys from 2020 to 2022 (N = 928), via Amazon Mechanical Turk. Analysis: Data were analysed using OLS regression and mediation-moderation analysis using Hayes' PROCESS Model 85. Results: Respondents' perceptions of VR as both easy to use and useful predict their intentions to use the technology, with usefulness being the stronger predictor. When examining changes over time, in 2021, VR ownership was not a predictor of perceived usefulness, and it was associated with a decrease in intentions to use VR, potentially reflecting the dynamics of the hype cycle. The direct and indirect effects of COVID-19 on VR acceptance persisted throughout all three years of the study but appear to be diminishing with time. Conclusion: This study contributes to the theoretical and practical discourse on the metaverse's development, advocating for a nuanced understanding of VR's role as a critical component of this digital frontier.

Identifiers

PMID40176781
PMCPMC11964156

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.