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Improvised explosive devices (IEDs) have become a major threat to military personnel in recent years. In the United States Army, Mission Payload Operators (MPOs) operate cameras from unmanned aerial vehicles (UAVs) to detect the threat of IEDs using real-time images received. Previous researchers obtained the expert knowledge of twelve MPOs at Fort Huachuca and learned that they rely on "behavioral signatures," the behavioral and environmental cues associated with IED threat rather than the IED itself (Cooke, Hosch, Banas, Hunn, Staszewski & Fensterer, 2010). To the best of our knowledge, no formal MPO training exists and all training is acquired on-the-job. The end goal is to create training systems for future MPOs using cognitive engineering based on expert skill (CEBES) that focus on detection of behavioral cues associated with IED threats. The complexity and dynamicity of cues associated with IED emplacement is to be noted, as such cues are influenced by sociocultural knowledge and often develop over significant periods of time. A dynamic full motion video simulation environment has been created, and embedded with cues elicited from expert MPOs. A three-part simulation has been created. The next step is verifying critical cues MPOs identify and focus on using eye tracking equipment.
ContributorsKnobloch, Ashley Kay (Author) / Cooke, Nancy (Thesis director) / Branaghan, Russ (Committee member) / Barrett, The Honors College (Contributor) / School of Nutrition and Health Promotion (Contributor) / Human Systems Engineering (Contributor)
Created2014-12
Description
Previous research has shown that perceptual illusions can enhance golf putting performance, and the effect has been explained as being due to enhanced expectancies. The present study was designed to further understand this effect by measuring putting in 3 additional variations to the Ebbinghaus illusion and by measuring putting kinematics. Nineteen ASU students with minimal golf experience putted to the following illusion conditions: a target, a target surrounded by small circles, a target surrounded by large circles, a target surrounded by both large and small circles, no target surrounded by small circles and no target surrounded by large circles. Neither perceived target size nor putting error was significantly affected by the illusion conditions. Time to peak speed was found to be significantly greater for the two conditions with no target, and lowest for the condition with the target by itself. Suggestions for future research include having split groups with and without perceived performance feedback as well as general performance feedback. The size conditions utilized within this study should continue to be explored as more consistent data could be collected within groups.
ContributorsCoon, Victoria (Author) / Gray, Rob (Thesis advisor) / Roscoe, Rod (Committee member) / Branaghan, Russ (Committee member) / Arizona State University (Publisher)
Created2019