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Stroke is a leading cause of disability with varying effects across stroke survivors necessitating comprehensive approaches to rehabilitation. Interactive neurorehabilitation (INR) systems represent promising technological solutions that can provide an array of sensing, feedback and analysis tools which hold the potential to maximize clinical therapy as well as extend therapy

Stroke is a leading cause of disability with varying effects across stroke survivors necessitating comprehensive approaches to rehabilitation. Interactive neurorehabilitation (INR) systems represent promising technological solutions that can provide an array of sensing, feedback and analysis tools which hold the potential to maximize clinical therapy as well as extend therapy to the home. Currently, there are a variety of approaches to INR design, which coupled with minimal large-scale clinical data, has led to a lack of cohesion in INR design. INR design presents an inherently complex space as these systems have multiple users including stroke survivors, therapists and designers, each with their own user experience needs. This dissertation proposes that comprehensive INR design, which can address this complex user space, requires and benefits from the application of interdisciplinary research that spans motor learning and interactive learning. A methodology for integrated and iterative design approaches to INR task experience, assessment, hardware, software and interactive training protocol design is proposed within the comprehensive example of design and implementation of a mixed reality rehabilitation system for minimally supervised environments. This system was tested with eight stroke survivors who showed promising results in both functional and movement quality improvement. The results of testing the system with stroke survivors as well as observing user experiences will be presented along with suggested improvements to the proposed design methodology. This integrative design methodology is proposed to have benefit for not only comprehensive INR design but also complex interactive system design in general.
ContributorsBaran, Michael (Author) / Rikakis, Thanassis (Thesis advisor) / Olson, Loren (Thesis advisor) / Wolf, Steven L. (Committee member) / Ingalls, Todd (Committee member) / Arizona State University (Publisher)
Created2014
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Description
This thesis seeks to answer the question: "What do artistic representations add to the dialogue about the U.S.-Mexico border and immigration beyond political rhetoric and popular media portrayals?" Drawing on political communications (as put forth by Edelman and Altheide), socio-political construction (particularly the White Racial Frame put forth by Feagin),

This thesis seeks to answer the question: "What do artistic representations add to the dialogue about the U.S.-Mexico border and immigration beyond political rhetoric and popular media portrayals?" Drawing on political communications (as put forth by Edelman and Altheide), socio-political construction (particularly the White Racial Frame put forth by Feagin), and collective memory theory (especially those of Halbwachs and Pollak), this thesis uses a dual-coding, content analysis to examine the linguistic and visual messages disseminated through news media. Then, interviews with and the work of six immigrant artists are examined for their contribution to the information put forth in the news media. This study finds that news reporting bias falls along a continuum from pro-immigration to extreme anti-immigration (labeled "fearful" reporting). The news media skew strongly toward anti-immigration to fearful in bias, and there is no opposite pro-immigration bias. Through observations of artists' work, the study concludes that artistic representations of the border can fill this strongly pro-immigration void on this bias continuum.
ContributorsMcCarty, Kelly Erin (Author) / Téllez, Michelle (Thesis advisor) / Stancliff, Michael (Committee member) / Segura, Joseph (Committee member) / Arizona State University (Publisher)
Created2011