Year: 2025
Type: review
Study design: Systematic Review
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.
Source: ACM Computing Surveys
DOI: 10.1145/3770917
Institutions: Vanderbilt University, University of Utah
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funder: Office of Naval Research
Award: G5065407619
OpenAlex ID: W4414810755
