Publication Date
2017
Document Type
Dissertation
Committee Members
Mary Fendley (Advisor), Subhashini Ganapathy (Committee Member), Fred Garber (Committee Member), Lee Potter (Committee Member), Timothy Webb (Committee Member)
Degree Name
Doctor of Philosophy (PhD)
Abstract
The key contribution of this research was to characterize decision support system (DSS) performance as a function of sensor types ranging from a very literal electrooptical (EO) sensor to a very non-literal synthetic aperture radar (SAR) sensor. The specific DSS used in this research was developed based on the Applied Cognitive Task Analysis (ACTA), human performance modeling process, and a comprehensive literature search. The subject and DSS combined performance was characterized by objective interpretation accuracy and decision time and, in addition, the subject's trust, confidence, heuristics, and possible cognitive biases were elicited and analyzed. The measures of accuracy, time, and heuristics were supported by eye tracking data to confirm the findings. The findings clearly showed that participants used the DSS differently based on the sensor type, and that there were clear and explainable trends consistent with the characteristics attributed to the literalness of the sensor.
Page Count
140
Department or Program
Ph.D. in Engineering
Year Degree Awarded
2017
Copyright
Copyright 2017, all rights reserved. My ETD will be available under the "Fair Use" terms of copyright law.
ORCID ID
0000-0003-4778-4423
