A Systematic Review of the Use of Augmented Reality in Pedestrian Navigation

Spatial computing in augmented reality (AR) overlays digital information into users’ view or immediate physical space, enhancing how we interact with our surroundings. It holds promise for pedestrian navigation, whether it is safety-critical or requires multi-tasking and real-time spatial information processing. Our systematic review of 79 articles delves into AR pedestrian navigation, covering device types, tracking methods, information taxonomy, and an evaluation of both technical and human factors. We highlight trends and future research directions, aiming to guide researchers and practitioners in identifying suitable techniques and designs that serve their applications and spurring innovation in adaptable systems and design concepts.

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Publication Details

Journal
ACM Computing Surveys
Published
2025-10-04
DOI
https://doi.org/10.1145/3770917
Citations
2
Primary Topic
Spatial Cognition and Navigation
Type
article
Field-Weighted Citation Impact
1.37
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article

A Systematic Review of the Use of Augmented Reality in Pedestrian Navigation

Sarah H. Creem-Regehr, Holly Gagnon, Bobby Bodenheimer, Jeanine K. Stefanucci et al.
2 citations
ACM Computing Surveys
Spatial Cognition and Navigation
1.37
article

A Systematic Review of the Use of Augmented Reality in Pedestrian Navigation

Sarah H. Creem-Regehr, Holly Gagnon, Bobby Bodenheimer, Jeanine K. Stefanucci, Zhao Yu
article en
2 citations

Abstract

Spatial computing in augmented reality (AR) overlays digital information into users’ view or immediate physical space, enhancing how we interact with our surroundings. It holds promise for pedestrian navigation, whether it is safety-critical or requires multi-tasking and real-time spatial information processing. Our systematic review of 79 articles delves into AR pedestrian navigation, covering device types, tracking methods, information taxonomy, and an evaluation of both technical and human factors. We highlight trends and future research directions, aiming to guide researchers and practitioners in identifying suitable techniques and designs that serve their applications and spurring innovation in adaptable systems and design concepts.

ACM Computing SurveysVol. 58(5)
Vanderbilt University (US), University of Utah (US)
Openalex Percentile: Top 17%
Spatial Cognition and Navigation
1.37
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