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Investigating the relationships between user behaviors and tracking factors on task performance and trust in augmented reality.

Authors :
Gottsacker, Matt
Furuya, Hiroshi
Choudhary, Zubin Datta
Erickson, Austin
Schubert, Ryan
Bruder, Gerd
Browne, Michael P.
Welch, Gregory F.
Source :
Computers & Graphics. Oct2024, Vol. 123, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

This research paper explores the impact of augmented reality (AR) tracking characteristics, specifically an AR head-worn display's tracking registration accuracy and precision, on users' spatial abilities and subjective perceptions of trust in and reliance on the technology. Our study aims to clarify the relationships between user performance and the different behaviors users may employ based on varying degrees of trust in and reliance on AR. Our controlled experimental setup used a 360° field-of-regard search-and-selection task and combines the immersive aspects of a CAVE-like environment with AR overlays viewed with a head-worn display. We investigated three levels of simulated AR tracking errors in terms of both accuracy and precision (+0°, +1°, +2°). We controlled for four user task behaviors that correspond to different levels of trust in and reliance on an AR system: AR-Only (only relying on AR), AR-First (prioritizing AR over real world), Real-Only (only relying on real world), and Real-First (prioritizing real world over AR). By controlling for these behaviors, our results showed that even small amounts of AR tracking errors had noticeable effects on users' task performance, especially if they relied completely on the AR cues (AR-Only). Our results link AR tracking characteristics with user behavior, highlighting the importance of understanding these elements to improve AR technology and user satisfaction. [Display omitted] • Augmented Reality (AR) tracking factors include accuracy and precision. • Search-and-selection task tested effects of tracking factors on performance, trust. • Results indicate even small AR tracking errors impact user performance, trust. • Negative performance effects can be mitigated if users do not rely solely on AR. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00978493
Volume :
123
Database :
Academic Search Index
Journal :
Computers & Graphics
Publication Type :
Academic Journal
Accession number :
179631752
Full Text :
https://doi.org/10.1016/j.cag.2024.104035