Understanding the impact of trust on performance in a training system using augmented reality

Michael P. Browne; Gregory F. Welch; Gerd Bruder; Ryan Schubert

doi:10.1117/12.3014174

7 June 2024 Understanding the impact of trust on performance in a training system using augmented reality

Michael P. Browne, Gregory F. Welch, Gerd Bruder, Ryan Schubert

Proceedings Volume 13051, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI; 130510F (2024) https://doi.org/10.1117/12.3014174
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

The information presented by augmented reality (AR) systems may not appear exactly like information perceived in the “real” world. Shortfalls in AR technology give rise to anomalies like tracker errors, lack of opacity compared to the background, and reduced field of view (FOV) compared to the human visual system’s field of view. These anomalies can make users feel like the information presented in an AR training system is not believable. This lack of belief can lead to negative training, where trainees adjust how they train due to flaws in the training system and are therefore less prepared for actual battlefield situations. We have completed an experiment to investigate trust, reliance, and human task performance in an augmented reality three-dimensional experimental scenario. Specifically, we used a methodology in which simulated real (complex) entities were supplemented by abstract (basic) cues presented as overlays in an AR head-worn display (HWD) for a visual search and awareness task. We simulated shortfalls of different AR display systems to determine which of the properties most affect training efficacy. Results from our experiment will feed directly into the design of training systems that use AR displays and will help increase the efficacy of training.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Michael P. Browne, Gregory F. Welch, Gerd Bruder, and Ryan Schubert "Understanding the impact of trust on performance in a training system using augmented reality", Proc. SPIE 13051, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI, 130510F (7 June 2024); https://doi.org/10.1117/12.3014174

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available