Ageing in the digital age: what drives virtual reality technology adoption among older adults?

In a rapidly ageing population, virtual reality (VR) technology is emerging as a useful tool to meet the increasing demands for medical health, social interaction and entertainment for older adults. This study explores the factors influencing the acceptance of VR technology among older adults to boost their VR use. The acceptance model of VR technology among older adults was founded on the technology acceptance model and incorporated personal factors such as self-efficacy (SE), technology anxiety (TA), perceived enjoyment (PE) and self-satisfaction (SS). Results revealed that SE, PE and SS positively influence their intention to use VR technology, while TA has a negative impact.

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Publication Details

Journal
Ergonomics
Published
2025-03-06
DOI
https://doi.org/10.1080/00140139.2025.2473685
Citations
4
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
22.37

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article

Ageing in the digital age: what drives virtual reality technology adoption among older adults?

Siu Shing Man, Alan H. S. Chan, Liu Li, Junyu Wang
4 citations
Ergonomics
Technology Use by Older Adults
22.37
article

Ageing in the digital age: what drives virtual reality technology adoption among older adults?

Siu Shing Man, Alan H. S. Chan, Liu Li, Junyu Wang
article en
4 citations

Abstract

In a rapidly ageing population, virtual reality (VR) technology is emerging as a useful tool to meet the increasing demands for medical health, social interaction and entertainment for older adults. This study explores the factors influencing the acceptance of VR technology among older adults to boost their VR use. The acceptance model of VR technology among older adults was founded on the technology acceptance model and incorporated personal factors such as self-efficacy (SE), technology anxiety (TA), perceived enjoyment (PE) and self-satisfaction (SS). Results revealed that SE, PE and SS positively influence their intention to use VR technology, while TA has a negative impact.

ErgonomicsVol. 69(4)
City University of Hong Kong (HK), City University of Hong Kong, Shenzhen Research Institute (CN), Dalian Maritime University (CN), South China University of Technology (CN)
National Natural Science Foundation of China, Guangzhou Municipal Science and Technology Bureau, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 1%
Technology Use by Older Adults
22.37
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