title: Automation bias: decision making and performance in high-tech cockpits.
abstract: Automated aids and decision support tools are rapidly becoming indispensable tools in high-technology cockpits and are assuming increasing control of"cognitive" flight tasks, such as calculating fuel-efficient routes, navigating, or detecting and diagnosing system malfunctions and abnormalities. This study was designed to investigate automation bias, a recently documented factor in the use of automated aids and decision support systems. The term refers to omission and commission errors resulting from the use of automated cues as a heuristic replacement for vigilant information seeking and processing. Glass-cockpit pilots flew flight scenarios involving automation events or opportunities for automation-related omission and commission errors. Although experimentally manipulated accountability demands did not significantly impact performance, post hoc analyses revealed that those pilots who reported an internalized perception of "accountability" for their performance and strategies of interaction with the automation were significantly more likely to double-check automated functioning against other cues and less likely to commit errors than those who did not share this perception. Pilots were also lilkely to erroneously "remember" the presence of expected cues when describing their decision-making processes.
authors.affiliation: San Jose State University and NASA Ames Research Center, Moffett Field, CA, USA.
authors.forename: K L
authors.initials: KL
authors.lastname: Mosier
authors.forename: L J
authors.initials: LJ
authors.lastname: Skitka
authors.forename: S
authors.initials: S
authors.lastname: Heers
authors.forename: M
authors.initials: M
authors.lastname: Burdick
mesh_terms: D000060:Accidents, Aviation / Q000517:prevention & control; D000337:Aerospace Medicine; D000401:Aircraft / Q000295:instrumentation; D001331:Automation; D001359:Aviation / Q000193:education / Q000295:instrumentation*; D003071:Cognition; D003657:Decision Making; D003658:Decision Making, Computer-Assisted; D006804:Ergonomics; D005103:Expert Systems; D006801:Humans; D008568:Memory; D008875:Middle Aged; D013647:Task Performance and Analysis; D016526:Workload