Honors Theses

Date of Award


Document Type

Undergraduate Thesis



First Advisor

Christopher Newman

Relational Format



This research aims to uncover personality traits that affect type II diabetics’ intentions to use wearable technologies. Survey data of 321 responses were used for data analysis to measure results. Data was analyzed using SPSS software to determine the effects of individual traits on current usage and purchase intentions of wearable technologies explored in the research. The individual traits studied were involvement, impulsivity, and self-consciousness. Smartwatches, smart socks, insulin pumps, and continuous glucose monitors were the wearables studied in this research. Results found that involvement has an impact on future purchase intentions of wearable technologies. However, impulsivity has partial statistical support to have an impact on current usage and future purchase intentions in regards to wearables. Finally, self-consciousness was found to have no significant impact on current usage and future purchase intentions of technologies.

Accessibility Status

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Included in

Marketing Commons



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