Comparing Trust in Auto-GCAS Between Experienced and Novice Air Force Pilots

By Joseph B. Lyons, N. Ho, Anna Lee Van Abel, Lauren C. Hoffmann, Garrett G. Sadler, W. E. Fergueson, Michelle A. Grigsby, M. Wilkins. 2017

16 citations recorded by the source corpus.

We examined F-16 pilots’ trust of the Automatic Ground Collision Avoidance System (Auto-GCAS), an automated system fielded on the F-16 to reduce the occurrence of controlled flight into terrain. We looked at the impact of experience (i.e., number of flight hours) as a predictor of trust perceptions and complacency potential among pilots. We expected that novice pilots would report higher trust and greater potential for complacency in relation to Auto-GCAS, which was shown to be partly true. Although novice pilots, compared with experienced pilots, reported equivalent trust perceptions, they also reported greater complacency potential.

Subfields: Aerospace Engineering, Social Psychology, Statistics and Probability

Citations in the corpus

• Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “…Johnson, 2007; Koustanai, Mas, Cavallo, and Delhomme, 2010; Lee and Moray, 1994; Lee and See, 2004; Llinas, Bisantz, Drury, Seong, and Jian, 1998; Lyons et al., 2017; Merritt, 2011; Merritt, Heimbaugh, LaChapell, and Lee, 2013; Montague, 2010; Moray and Inigaki, 1999; Muir, 1994; Muir and Moray,…”