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.
Authors
- Sarah H. Creem-Regehr (ORCID: https://orcid.org/0000-0001-7740-1118)
- Holly Gagnon (ORCID: https://orcid.org/0000-0003-2409-6759)
- Bobby Bodenheimer (ORCID: https://orcid.org/0000-0002-0616-5936)
- Jeanine K. Stefanucci (ORCID: https://orcid.org/0000-0003-4238-2951)
- Zhao Yu (ORCID: https://orcid.org/0000-0002-7076-9486)
Institutions
- Vanderbilt University (US)
- University of Utah (US)
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