Analysis and prediction of addiction among virtual reality users Article Swipe
Jing He
,
Weijian Yu
,
Jingyan Zhang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0318117
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0318117
Objective To understand the addiction situation and influencing factors of virtual reality users, and provide reference basis for timely and effective prevention and intervention of user addiction. Methods Based on a questionnaire survey, univariate analysis, multivariate analysis, and model prediction were conducted on the data of 1164 participants in VR related Facebook groups and Reddit subedits. Results The single factor analysis results show that the user’s own attributes, usage duration, perception level, and application types of virtual reality devices can significantly affect the degree of addiction; The results of multivariate analysis showed that the age of users, the number of days used per week, the number of hours used per day, and the perceived level of the device can significantly affect the probability of addiction. In addition, this study used decision tree algorithm to predict adolescent virtual reality device addiction, with a prediction accuracy of 0.957. Conclusion The addiction of virtual reality users is related to multiple factors such as gender, age, usage time, application type, and perception level. When developing VR applications and content, consideration should be given to balancing user immersion and healthy use, and reasonable control of usage time is also an effective means to prevent VR addiction.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0318117
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0318117&type=printable
- OA Status
- gold
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408361591
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4408361591Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pone.0318117Digital Object Identifier
- Title
-
Analysis and prediction of addiction among virtual reality usersWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-03-12Full publication date if available
- Authors
-
Jing He, Weijian Yu, Jingyan ZhangList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pone.0318117Publisher landing page
- PDF URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0318117&type=printableDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0318117&type=printableDirect OA link when available
- Concepts
-
Addiction, Univariate, Virtual reality, Affect (linguistics), Perception, Multivariate analysis, Computer science, Multivariate statistics, Univariate analysis, Psychology, Applied psychology, Human–computer interaction, Machine learning, Psychiatry, Communication, NeuroscienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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12Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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