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ASU Electronic Theses and Dissertations


This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.




This research is focused on two separate but related topics. The first uses an electroencephalographic (EEG) brain-computer interface (BCI) to explore the phenomenon of motor learning transfer. The second takes a closer look at the EEG-BCI itself and tests an alternate way of mapping EEG signals into machine commands. We test whether motor learning transfer is more related to use of shared neural structures between imagery and motor execution or to more generalized cognitive factors. Using an EEG-BCI, we train one group of participants to control the movements of a cursor using embodied motor imagery. A second group is trained …

Contributors
Da Silva, Flavio J.K., Mcbeath, Michael K, Helms Tillery, Stephen, et al.
Created Date
2013

The advertising industry plays a crucial role in how ideals and norms are established in United States society. Recent work is revealing the negative impact advertisements can have on self-esteem and self-image, especially for women. Unrealistic body-types, often created through photo editing, continue to contribute to eating and emotional disorders. Such fabricated ideals hinder the progress of social and economic justice for women. This exploratory study investigates whether images of women in traditionally male-dominated roles can weaken sexist attitudes and whether less sexism and highly sexist groups differ in image processing. Participants who scored high or low on the Ambivalent …

Contributors
Ostendorf, Tasha, Swadener, Elizabeth, Arizona State University
Created Date
2015

This dissertation proposes a new set of analytical methods for high dimensional physiological sensors. The methodologies developed in this work were motivated by problems in learning science, but also apply to numerous disciplines where high dimensional signals are present. In the education field, more data is now available from traditional sources and there is an important need for analytical methods to translate this data into improved learning. Affecting Computing which is the study of new techniques that develop systems to recognize and model human emotions is integrating different physiological signals such as electroencephalogram (EEG) and electromyogram (EMG) to detect and …

Contributors
Lujan Moreno, Gustavo A., Runger, George C, Atkinson, Robert K, et al.
Created Date
2017

In most of the work using event-related potentials (ERPs), researchers presume the function of specific components based on the careful manipulation of experimental factors, but rarely report direct evidence supporting a relationship between the neural signal and other outcomes. Perhaps most troubling is the lack of evidence that ERPs correlate with related behavioral outcomes which should result, at least in part, from the neural processes that ERPs capture. One such example is the NoGo-N2 component, an ERP component elicited in Go/NoGo paradigms. There are two primary theories regarding the functional significance of this component in this context: that the signal …

Contributors
Hampton, Ryan Scott, Varnum, Michael E.W., Shiota, Michelle N., et al.
Created Date
2019