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- Creators: Barrett, The Honors College
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Member of: Theses and Dissertations
- Resource Type: Text
The purpose of this study was to test the reproducibility of the current data set. It was hypothesized that older adults’ scores on the Repeatable Battery for Assessment of Neuropsychological Status (RBANS) would decrease from their initial visit to their one year follow-up visit and that greater overall age is associated with worse performance. Overall, the older adults with a follow-up visit in this study experienced greater decline on the RBANS DMI than on the RBANS total scaled score. There seems to be a negative trend in which individuals with higher first-visit VCI scores experience greater improvement on the first trial of the motor task with the non-dominant hand. The same trend can be seen in DMI scores where higher initial DMI scores are associated with greater improvement on the first non-dominant hand trial of the motor task. This initial trend suggests that visuospatial scores have an association with long-term change in the motor task. The number of participants in this data set were limited, thus more data will be needed to increase confidence in conclusions about these relationships in the future.
Developed a business product with a team of CS students.
This project explores how modern mobile technology can be used to provide support for domestic violence victims. The goal of the project is to create a proof-of-concept iOS mobile application that maintains a discreet safety front and provides domestic violence victims with resources and safety planning. The design and implementation are disguised as a hair salon app to maintain a low profile on the user’s phone. The HairHelp app features quick exit navigation, a secure database to store a user’s private and personal documents in case of emergency, and a checklist of safety planning measures. The steps taken in this project serve as the foundation for a larger project in the long term.
HackerHero is an educational game designed to teach children, especially those from marginalized backgrounds, computation thinking skills needed for STEAM fields. It also teaches children about social injustice. This project was focused on creating an audio visualization for an AI character within the HackerHero game. The audio visualization consisted of a static silhouette of a face and a wave-like form to represent the mouth. Audio content analysis was performed on audio sampled from the character’s voice lines. Pitch and amplitude derived from the analysis was used to animate the character’s visual features such as it’s brightness, color, and mouth movement. The mouth’s movement and color was manipulated with the audio’s pitch. The lights of Wave were controlled by the amplitude of the audio. Design considerations were made to accommodate those with visual disabilities such as color blindness and epilepsy. Overall the final audio visualization satisfied the project sponsor and built upon existing audio visualization work. User feedback will be a necessity for improving the audio visualization in the future.