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Dissertation/Thesis Abstract

Measuring the Effects of a Cognitive Aid in Deep Space Network Operations
by Barraza, Edward, M.S., California State University, Long Beach, 2018, 79; 10752127
Abstract (Summary)

Cognitive aids have long been used by industries such as aviation, nuclear, and healthcare to support operator performance during nominal and out of the ordinary, or off-nominal, events. The aim of these aids is to support decision-making by providing users with critical information and procedures in complex environments. The Jet Propulsion Lab (JPL) is exploring the concept of a cognitive aid for future Deep Space Network (DSN) operations to help manage operator workload and increase efficiency. The current study examines the effects of a cognitive aid on expert and novice operators in a simulated DSN environment. Results found that task completion times were significantly lower when cognitive aid assistance was available compared to when it was not. Furthermore, results indicate numerical trends that distinguish experts from novices in their system interactions and efficiency. Novice operators, on average, had higher acceptance ratings and greater agreement for a DSN cognitive aid when compared those of expert participants. Lastly, participant feedback identified the need for a reliable, robust, and transparent system.

Indexing (document details)
Advisor: Vu, Kim-Phuong L.
Commitee: Holloway, Alexandra, Strybel, Thomas Z.
School: California State University, Long Beach
Department: Psychology
School Location: United States -- California
Source: MAI 57/06M(E), Masters Abstracts International
Subjects: Design, Social psychology, Engineering
Keywords: Cognitive aid, Decision support, Deep Space Network, Expertise, Technology acceptance
Publication Number: 10752127
ISBN: 978-0-438-02428-1
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