Abstract
Vigilance is the capacity for observers to maintain attention over extended periods of time, and has most often been operationalized as the ability to detect rare and critical signals (Davies & Parasuraman, 1982; Parasuraman, 1979; Warm, 1984). Humans, however, have natural physical and cognitive limitations that preclude successful long-term vigilance performance and consequently, without some means of assistance, failures in operator vigilance are likely to occur. Such a decline in monitoring performance over time has been a robust finding in vigilance experiments for decades and has been called the vigilance decrement function (Davies & Parasuraman, 1982; Mackworth, 1948). One of the most effective countermeasures employed to maintain effective performance has been cueing: providing the operator with a reliable prompt concerning signal onset probability. Most protocols have based such cues on task-related or environmental factors. The present dissertation examines the efficacy of cueing when nominally based on operator state (i.e., blood oxygenation of cortical tissue) in a novel vigilance task incorporating dynamic displays over three studies. Results pertaining to performance outcomes, physiological measures (cortical blood oxygenation and heart rate variability), and perceived workload and stress are interpreted via Signal Detection Theory and the Resource Theory of vigilance.
Notes
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Graduation Date
2017
Semester
Spring
Advisor
Szalma, James
Degree
Doctor of Philosophy (Ph.D.)
College
College of Sciences
Department
Psychology
Degree Program
Psychology; Human Factors Cognitive Psychology
Format
application/pdf
Identifier
CFE0006599
URL
http://purl.fcla.edu/fcla/etd/CFE0006599
Language
English
Release Date
May 2017
Length of Campus-only Access
None
Access Status
Doctoral Dissertation (Open Access)
STARS Citation
Hancock, Gabriella, "An Exploration of the Feasibility of Functional Near-Infrared Spectroscopy as a Neurofeedback Cueing System for the Mitigation of the Vigilance Decrement" (2017). Electronic Theses and Dissertations. 5413.
https://stars.library.ucf.edu/etd/5413