1. Impact of Pilot's Expertise on Selection, Use, Trust, and Acceptance of Automation
- Author
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Julien Cegarra, Jordan Navarro, Nicolas Cabrignac, Sarah Allali, Sciences de la Cognition, Technologie, Ergonomie (SCoTE), Institut national universitaire Champollion [Albi] (INUC), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
- Subjects
Delegation ,Computer Networks and Communications ,Computer science ,business.industry ,media_common.quotation_subject ,Human Factors and Ergonomics ,Workload ,Automation ,Computer Science Applications ,Task (project management) ,Human-Computer Interaction ,Supervisory control ,Artificial Intelligence ,Control and Systems Engineering ,Human–computer interaction ,[SCCO.PSYC]Cognitive science/Psychology ,Signal Processing ,Task analysis ,Set (psychology) ,Function (engineering) ,business ,ComputingMilieux_MISCELLANEOUS ,media_common - Abstract
Automation regroups a variety of advanced tools meant to improve performance and decrease human workload. This article was designed to investigate how different automation solutions, engaging different human–machine cooperation modes, interact with expertise. Aircraft pilots (i.e., experts) and nonpilots (i.e., novices) were presented with a set of simplified flight piloting tasks monitored simultaneously using the Open MATB (Open Multiattribute Task Battery) in four different automation conditions (manual, assisted, cooperative, and supervisory control). Experts’ performances at the Open MATB were higher than those of novices. Experts also exhibited a lower level of workload. Apart from function delegation, where no human performance is required, automation solutions benefit experts and novices similarly. Participants were then asked to choose repeatedly between the four automation conditions. Experts and novices exhibited different strategies. Novices spread their choices over the different automation conditions, whereas experts clearly favor cooperative control, the automation solution that enhanced their expertise.
- Published
- 2021
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