A Thesis submitted to The University of Arizona College of Medicine - Phoenix in partial fulfillment of the requirements for the Degree of Doctor of Medicine. / Background and Significance: Spectral Domain-Optical Coherence Tomography (OCT) is one of the most widely used imaging modality in Ophthalmology. It utilizes light waves to visualize the various layers of the retina. The OCT machines offer two different scan patterns, the circular and the cube scan patters. It is important to compare these scan pattern to see if any discrepancy exist in quantifying retinal indices. One of the newer indices is the Bruch’s membrane opening minimum rim width (BMO-MRW), which is the minimum distance between from the BMO to the inner limiting membrane (ILM). The BMO-MRW is being used in the diagnosis of glaucoma. Hypothesis: To compare the cube and radial scan patterns of the SD-OCT for quantifying the BMO-MRW. We hypothesis that there might be some differences between the two scan patterns.

Eye tracking is commonly used in many scientific fields (experimental psychology, neuroscience, behavioral economics, etc.) and can provide us with rigorous data about current allocation of attention. Due to the complexity of data processing and missing methodology, experimental designs are often limited to static stimuli; eye tracking data is analyzed only with respect to basic types of eye movements - fixation and saccades. In dynamic tasks (e.g. with dynamic stimuli, such as showing movies or Multiple Object Tracking task), another type of eye movement is commonly present: smooth pursuit. Importantly, eye tracking data from dynamic tasks is often represented as raw data samples. It requires a different approach to analyze the data, and there are a lot of methodological gaps in analytical tools. This thesis is divided into three parts. In the first part, we gave an overview of current methods for analyzing scan patterns, followed by four simulations, in which we systematically distort scan patterns and measure the similarity using several commonly used metrics. In the second part, we presented the current approaches to statistical testing of differences between groups of scan patterns. We present two novel strategies for analyzing statistically significant differences between groups of scan patterns and...

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.