Matching Items (3)
Filtering by

Clear all filters

152061-Thumbnail Image.png
Description
Most people are experts in some area of information; however, they may not be knowledgeable about other closely related areas. How knowledge is generalized to hierarchically related categories was explored. Past work has found little to no generalization to categories closely related to learned categories. These results do not fit

Most people are experts in some area of information; however, they may not be knowledgeable about other closely related areas. How knowledge is generalized to hierarchically related categories was explored. Past work has found little to no generalization to categories closely related to learned categories. These results do not fit well with other work focusing on attention during and after category learning. The current work attempted to merge these two areas of by creating a category structure with the best chance to detect generalization. Participants learned order level bird categories and family level wading bird categories. Then participants completed multiple measures to test generalization to old wading bird categories, new wading bird categories, owl and raptor categories, and lizard categories. As expected, the generalization measures converged on a single overall pattern of generalization. No generalization was found, except for already learned categories. This pattern fits well with past work on generalization within a hierarchy, but do not fit well with theories of dimensional attention. Reasons why these findings do not match are discussed, as well as directions for future research.
ContributorsLancaster, Matthew E (Author) / Homa, Donald (Thesis advisor) / Glenberg, Arthur (Committee member) / Chi, Michelene (Committee member) / Brewer, Gene (Committee member) / Arizona State University (Publisher)
Created2013
136670-Thumbnail Image.png
Description
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

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
135520-Thumbnail Image.png
Description
With the help of some Information Measurement Theory (IMT), Kashiwagi Solutions Model (KSM), and deductive logic background, supply chain managers can start utilizing a new way to effectively and efficiently negotiate contracts. Developed by Dr. Dean Kashiwagi, the Best Value Approach has been 98% successful with over 1,800 projects for

With the help of some Information Measurement Theory (IMT), Kashiwagi Solutions Model (KSM), and deductive logic background, supply chain managers can start utilizing a new way to effectively and efficiently negotiate contracts. Developed by Dr. Dean Kashiwagi, the Best Value Approach has been 98% successful with over 1,800 projects for the past 20 years. The process gives vendors/suppliers the power to use their expertise. In return for not having to follow the rules set by the client/buyer, the vendor must show documentation and plans of risk management, value added processes, and metrics.
ContributorsPhan, Alice (Co-author) / Holtzman, Krista (Co-author) / Kashiwagi, Dean (Thesis director) / Kashiwagi, Jacob (Committee member) / School of International Letters and Cultures (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05