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Psychological predictors of consumer-level virtual reality technology adoption and usage

In recent years, virtual reality (VR) technology has been mainstreamed for at-home use, with various consumer-oriented devices released by media firms such as Meta, Google, Samsung, and HTC. The present research investigates the role of psychological traits—including immersive tendencies, absorption...

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Autores principales: Cummings, James J., Cahill, Tiernan J., Wertz, Erin, Zhong, Qiankun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800239/
https://www.ncbi.nlm.nih.gov/pubmed/36597421
http://dx.doi.org/10.1007/s10055-022-00736-1
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author Cummings, James J.
Cahill, Tiernan J.
Wertz, Erin
Zhong, Qiankun
author_facet Cummings, James J.
Cahill, Tiernan J.
Wertz, Erin
Zhong, Qiankun
author_sort Cummings, James J.
collection PubMed
description In recent years, virtual reality (VR) technology has been mainstreamed for at-home use, with various consumer-oriented devices released by media firms such as Meta, Google, Samsung, and HTC. The present research investigates the role of psychological traits—including immersive tendencies, absorption, sensation seeking, need for cognition, neophobia, and belief in science—as well as trait levels of individual innovativeness, self-perception of social well-being, and owner demographics, in predicting VR adoption rates and sustained use over time. Separate analyses were conducted for different classes of VR device (fixed, mobile, and standalone devices). In general, psychological factors generally emerged as more determinative of adoption than did demographics. Users’ immersive tendencies predicted earlier adoption of VR technology while absorption was associated with later adoption, with both predictive of higher overall initial usage of different types of devices. Additionally, perceiving oneself as socially successful was associated with higher initial VR usage, while a tendency to see one’s emotions as influenced by in-person rather than online contacts was negatively associated with usage. Finally, belief in science predicted greater consistency in usage over time while higher levels of absorption were associated with unstable usage patterns. These findings expand upon the limited work previously investigating the role of individual differences in adoption of VR and mark the promise of psychometrics for understanding the diffusion and continued usage of consumer-facing VR devices.
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spelling pubmed-98002392022-12-30 Psychological predictors of consumer-level virtual reality technology adoption and usage Cummings, James J. Cahill, Tiernan J. Wertz, Erin Zhong, Qiankun Virtual Real Original Article In recent years, virtual reality (VR) technology has been mainstreamed for at-home use, with various consumer-oriented devices released by media firms such as Meta, Google, Samsung, and HTC. The present research investigates the role of psychological traits—including immersive tendencies, absorption, sensation seeking, need for cognition, neophobia, and belief in science—as well as trait levels of individual innovativeness, self-perception of social well-being, and owner demographics, in predicting VR adoption rates and sustained use over time. Separate analyses were conducted for different classes of VR device (fixed, mobile, and standalone devices). In general, psychological factors generally emerged as more determinative of adoption than did demographics. Users’ immersive tendencies predicted earlier adoption of VR technology while absorption was associated with later adoption, with both predictive of higher overall initial usage of different types of devices. Additionally, perceiving oneself as socially successful was associated with higher initial VR usage, while a tendency to see one’s emotions as influenced by in-person rather than online contacts was negatively associated with usage. Finally, belief in science predicted greater consistency in usage over time while higher levels of absorption were associated with unstable usage patterns. These findings expand upon the limited work previously investigating the role of individual differences in adoption of VR and mark the promise of psychometrics for understanding the diffusion and continued usage of consumer-facing VR devices. Springer London 2022-12-30 2023 /pmc/articles/PMC9800239/ /pubmed/36597421 http://dx.doi.org/10.1007/s10055-022-00736-1 Text en © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Cummings, James J.
Cahill, Tiernan J.
Wertz, Erin
Zhong, Qiankun
Psychological predictors of consumer-level virtual reality technology adoption and usage
title Psychological predictors of consumer-level virtual reality technology adoption and usage
title_full Psychological predictors of consumer-level virtual reality technology adoption and usage
title_fullStr Psychological predictors of consumer-level virtual reality technology adoption and usage
title_full_unstemmed Psychological predictors of consumer-level virtual reality technology adoption and usage
title_short Psychological predictors of consumer-level virtual reality technology adoption and usage
title_sort psychological predictors of consumer-level virtual reality technology adoption and usage
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800239/
https://www.ncbi.nlm.nih.gov/pubmed/36597421
http://dx.doi.org/10.1007/s10055-022-00736-1
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