Journal article
Participant Characteristics in Human-in-the-Loop Studies with Multiple Unmanned Vehicles including Aircraft
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, v 66(1), pp 33-37
Sep 2022
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.
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1 citations in Scopus
Details
- Title
- Participant Characteristics in Human-in-the-Loop Studies with Multiple Unmanned Vehicles including Aircraft
- Creators
- Ellen J. BassRachel AmeyJoseph GlavanTyler ReadNisha RaghunathChristopher SanchezKatie SilasTom HaritosJulie A. Adams
- Publication Details
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting, v 66(1), pp 33-37
- Publisher
- SAGE Publications
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-85204345209
- Other Identifier
- 991019292126604721