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Dissertation/Thesis Abstract

Training trust in automation within a NextGen environment
by Higham, Tiana-Lynn M., M.S., California State University, Long Beach, 2013, 77; 1524202
Abstract (Summary)

The projected increase in air traffic density has led to the development of NextGen that is expected to revolutionize the way the NAS is currently functioning. For NextGen to be implemented successfully, it is important to understand the humanautomation relationship within a complex system. Controllers will have to rely on automated tools to successfully manage aircraft in their sector. Increasing human trust in automation can lead to an increase in automation acceptance and its proper use. However, we are not aware of any research studies that have attempted to directly train individuals to trust automation. We report on an attempt to train 8 novice air traffic controllers to trust the automated NextGen tools in a radar internship course. Although the results were not statistically significant, the trend in the data suggests that it may be possible to train trust in automation.

Indexing (document details)
Advisor: Strybel, Thomas Z.
Commitee: Miles, Jim, Vu, Kim-Phuong L., Wiley, Mark
School: California State University, Long Beach
Department: Human Factors
School Location: United States -- California
Source: MAI 52/03M(E), Masters Abstracts International
Subjects: Behavioral psychology, Aerospace engineering, Occupational psychology, Operations research
Keywords: Air traffic control, Human-automation relationship, NextGen, Training and trust
Publication Number: 1524202
ISBN: 978-1-303-52179-9
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