Participant Characteristics in Human-in-the-Loop Studies with Multiple Unmanned Vehicles including Aircraft. (September 2022)

• Record Type: Journal Article
• Authors: Bass, Ellen J.; Amey, Rachel; Glavan, Joseph; Read, Tyler; Raghunath, Nisha; Sanchez, Christopher; Silas, Katie; Haritos, Tom; Adams, Julie A.
• Is Part Of: Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Volume 66:Part 1(2022)
• Page Start: 33
• Page End: 37
• Publication Date: 2022-09
• Subjects: Human engineering -- Congresses; 620.8205
• DOI: 10.1177/1071181322661055
• Languages: English
• ISSNs: 1541-9312

Abstract

The characteristics that a supervisor of multiple autonomous and semi-autonomous systems should possess remain unclear. Determination of these qualities would support job performance as well as recruiting and training. To evaluate the human characteristics currently being considered by human-in-the-loop experiments, a review of the multiple remote vehicle supervision literature was conducted. The human characteristics addressed included: gender, domain relevant experience, working memory, supervisory relevant skills and abilities (e.g., visual skills, spatial ability, attentional control, vigilance), and traits related to multi-tasking (e.g., stress, resilience). The discussion identifies gaps in the current state of the art with respect to the consideration of human characteristics for multi-autonomous and semi-autonomous systems supervision where at least one vehicle is an aircraft.