Effectiveness of augmented reality technology in improving navigation performance: a systematic review and meta-analysis
Open accessAbstract
Augmented reality (AR) integrates virtual objects in the real world, allowing users to interact intuitively with navigation information. This study systematically reviewed 13 articles on AR technology published from 2005 to 2024 through meta-analysis, comprising a total of 400 participants, to examine its effectiveness in enhancing navigation performance. Compared with traditional navigation tools, the results showed that AR technology more effectively enhances navigation performance, with the overall effect size calculated as 0.554 (95% CI = 0.404–0.704; p < 0.001). The effect on wayfinding performance (SMD = 0.992) was considerably larger compared to driving navigation performance (SMD = 0.246) and spatial knowledge performance (SMD = 0.274). The mean age significantly positively affected the effectiveness of AR technology (Z = 2.670; p < 0.05). The results promote the development and application of AR technology and increase its adoption amongst the elderly.
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Global therapeutic studies were actively exploring innovative strategies to aid in the treatment of SAD, with particular emphasis on leveraging augmented reality (AR) technology as an effective auxiliary therapeutic tool.
“Global therapeutic studies were actively exploring innovative strategies to aid in the treatment of SAD, with particular emphasis on leveraging augmented reality (AR) technology as an effective auxiliary therapeutic tool [23,24].”
From Advancing Undergraduate Student Mental Healthcare of Social Anxiety Disorder: Evaluating the Acceptance of AR-Assisted Cognitive Behavioral Therapy Through TAM-Based Constructs. (2026) · cites this paper as [24]
The Introduction and Results discuss AR for navigation and wayfinding, not treatment. Searches for SAD, therapy, and therapeutic use found no passage addressing AR as an auxiliary treatment for SAD. The cited paper therefore does not verify the therapeutic claim. (LLM, conf=0.76)
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- Authors
- Man, S. S., Su, P., Xiao, C., Yun, H., & Chan, A. H. S.
- Affiliations
- South China University of Technology (CN)
- City University of Hong Kong (HK)
- Corresponding author
- Yun, Hong
- Venue
- Ergonomics
- Publisher
- Informa UK Limited
- Published
- 2025-09-06
- Volume
- 69
- Issue
- 10
- Pages
- 1983-1998
- ISSN
- 0014-0139 (ISSN-L)
- 1366-5847
- OpenAlex
- W4414038520
- Cited by
- 7
- References
- 78
- Citations by year
- 2026: 7
- FWCI
- 0.73
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Ergonomics (publishedVersion)
- PubMed (publishedVersion)
- CityU Scholars (submittedVersion, other-oa)
- Funders
- National Key R&D Program of China (2022YFB4500604)
- National Natural Science Foundation of China (72301110)
- Philosophy and Social Science Planning Project of Guangdong Province (GD25YYS35, GD23XLN31)
- Philosophy and Social Science Developing Project of Guangzhou City (2022GZQN48)
- Guangzhou Municipal Science and Technology Bureau (2024A04J2279)
- Fundamental Research Funds for the Central Universities (QNMS202418)
- Guangdong Provincial General College Youth Innovation Talent Project (2023WQNCX006)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Keywords
- augmented reality, navigation performance, wayfinding, spatial knowledge, age effects, elderly users, navigation tools
- MeSH terms
- Augmented Reality, Humans, User-Computer Interface, Spatial Navigation
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