title: Defining the drivers for accepting decision making automation in air traffic management.
abstract: Air Traffic Management (ATM) operators are under increasing pressure to improve the efficiency of their operation to cater for forecasted increases in air traffic movements. One solution involves increasing the utilisation of automation within the ATM system. The success of this approach is contingent on Air Traffic Control Operators' (ATCOs) willingness to accept increased levels of automation. The main aim of the present research was to examine the drivers underpinning ATCOs' willingness to accept increased utilisation of automation within their role. Two fictitious scenarios involving the application of two new automated decision-making tools were created. The results of an online survey revealed traditional predictors of automation acceptance such as age, trust and job satisfaction explain between 4 and 7% of the variance. Furthermore, these predictors varied depending on the purpose in which the automation was to be employed. These results are discussed from an applied and theoretical perspective. STATEMENT OF RELEVANCE: Efficiency improvements in ATM are required to cater for forecasted increases in air traffic movements. One solution is to increase the utilisation of automation within Air Traffic Control. The present research examines the drivers underpinning air traffic controllers' willingness to accept increased levels of automation in their role.
authors.affiliation: Department of Aviation, University of New South Wales, Sydney, Australia.
authors.forename: Marek
authors.initials: M
authors.lastname: Bekier
authors.forename: Brett R C
authors.initials: BR
authors.lastname: Molesworth
authors.forename: Ann
authors.initials: A
authors.lastname: Williamson
mesh_terms: D000328:Adult; D001331:Automation; D001359:Aviation / Q000379:methods*; D003657:Decision Making; D004059:Diffusion of Innovation; D005260:Female; D006801:Humans; D007588:Job Satisfaction; D008297:Male; D008875:Middle Aged; D011795:Surveys and Questionnaires