Eye tracking, search skills, scan patterns, training, perceptual skills, performance assessment
In today's complex combat environments, troops are often faced with increasingly challenging tasks different from those experienced in the past. Warfighters must be trained in adaptive perceptual skill sets, such as search strategies that enable them to detect threats across any number of environmental, cultural, and situational conditions. The goal of the present study was to explore how advanced technology, specifically eye tracking, can be used to increase understanding of perceptual processes such as search and detection and provide tools that can be used to train search skills. Experiment 1 examined a method of diagnosing perceptual performance in order to be able to identify the perceptual root cause of target detection deficiencies and how these impact overall target detection performance. Findings indicate the method can be used to pinpoint where in the perceptual process a target miss originated, whether due to ineffective search strategy, inability to detect the subtle cues of the threat or inability to recognize these cues as indicative of a threat. Experiment 2 examined the training effectiveness of providing trainees with process level tailored feedback which incorporates elements of expert and trainee scan patterns. Findings indicate that providing trainees with elements of either expert or trainee scan patterns has the ability to significantly improve the search strategy being employed by the trainee. This work provides strong support for the use of eye tracking based perceptual performance diagnosis methods and training strategies in improving trainee search performance for complex target detection tasks.
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Doctor of Philosophy (Ph.D.)
College of Sciences
Length of Campus-only Access
Doctoral Dissertation (Open Access)
Carroll, Meredith, "Empirical Evaluation Of The Effectiveness Of Eye Tracking-based Search Performance Diagnosis And Feedback Methods" (2010). Electronic Theses and Dissertations, 2004-2019. 4210.