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Effectiveness of augmented reality technology in improving navigation performance: a systematic review and meta-analysis

Siu Shing Man, Peiqi Su, Chang Xiao, Hong Yun*, Alan Hoi Shou Chan

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

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. © 2025 Informa UK Limited, trading as Taylor & Francis Group.
Original languageEnglish
Number of pages16
JournalErgonomics
Online published6 Sept 2025
DOIs
Publication statusOnline published - 6 Sept 2025

Funding

This work was supported by the National Key R&D Program of China (2022YFB4500604), the National Natural Science Foundation of China (72301110), the Philosophy and Social Science Planning Project of Guangdong Province (GD25YYS35 and GD23XLN31), the Philosophy and Social Science Developing Project of Guangzhou City (2022GZQN48) the Guangzhou Municipal Science and Technology Bureau (2024A04J2279), the Fundamental Research Funds for the Central Universities (QNMS202418) and the Guangdong Provincial General College Youth Innovation Talent Project (2023WQNCX006).

Research Keywords

  • augmented reality
  • navigation performance
  • navigation
  • systematic review
  • meta-analysis

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This is an Accepted Manuscript of an article published by Taylor & Francis in Ergonomics on 6 Sept 2025, available online: https://www.tandfonline.com/doi/full/10.1080/00140139.2025.2554243

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