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Dissertation/Thesis Abstract

Air traffic controller trust in automation in NextGen
by Mirchi, Tannaz, M.S., California State University, Long Beach, 2015, 88; 1597782
Abstract (Summary)

NextGen introduces new automated tools to help air traffic controllers (ATCos) manage the projected increase in air traffic over the next decades. The purpose of the current study was to assess the role of trust in automation for NextGen tools. Differences in sensitivity between three subjective trust in automation scales and the relationship of these trust metrics to ATCo trust behaviors were considered. Trust behaviors were measured using a behavioral measure of trust, the number of near-miss aircraft moved. Additionally, the relationship between trust levels and situation awareness was also investigated. Results indicated that the Modified Human-Automation Trust Scale (M-HAT) may be the most sensitive to changes in trust over the course of the internship, although there was no differences in trust behavior between low or high-trusting individuals. Trust questionnaires pertaining to an overall automated system (M-HAT) may able to detect changes in trust over time compared to a more specific trust scale. The results also suggest it may be more valuable to specifically train controllers to trust automation than provide general training.

Indexing (document details)
Advisor: Strybel, Thomas Z.
Commitee: Miles, James, Vu, Kim-Phuong
School: California State University, Long Beach
Department: Psychology
School Location: United States -- California
Source: MAI 55/01M(E), Masters Abstracts International
Subjects: Occupational psychology, Cognitive psychology
Keywords: Air traffic control, Nextgen, Trust in automation
Publication Number: 1597782
ISBN: 978-1-339-01268-1
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