Technologies for augmented reality (AR) head-worn displays (HWDs) are rapidly advancing. With complementary advancements in complementing, content-producing technologies such as the Internet of Things (IoT), workers will soon have the ability to access vast amounts of data from within ad hoc ecosystems of devices & information sources.
Through widespread adoption of technology and the IoT, we can easily envision the emergence of smart work sites where physical work systems (e.g., infrastructure, materials, tools and vehicles) and computer-based systems (e.g., digital project information, IoT data, and HWDs) intersect at human perception and cognition. With forthcoming volumes of relevant data at hand, the challenge will not be availability of meaningful data, but Instead how to represent data, and more importantly how presentation of data affects worker performance in the broadest sense.
To this end, we are working to:
- Develop assessment methods for AR HWD user interfaces and technologies to be used in outdoor workplace settings
- Develop, refine and validate processes for evaluating the efficacy of HWDs with specific classes of information content & fidelity
- Establish new empirically validated connections between HWD information presentation fidelity, primary task performance, behavior, mental workload and situation awareness in outdoor AR HWD settings
- Extend classical experimental protocols and techniques within the AR domain
- Sunwook Kim, Maury Nussbaum & Joseph L. Gabbard, (2016), "Augmented Reality ‘Smart Glasses’ in the Workplace: Industry Perspectives and Challenges for Worker Safety and Health", IIE Transactions on Occupational Ergonomics and Human Factors.
- Michele Gattullo, Antonio E Uva, Michele Fiorentino, Joseph L. Gabbard, (2015). "Legibility in Industrial AR: Text Style, Color Coding, and Illuminance". Computer Graphics and Applications, IEEE, 35(2), 52-61.