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    Tactile Demographics: Predicting Demographic Information Using Touch Data from Mobile Devices

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    Author
    Williams, Baylea
    Abstract
    The research conducted in this thesis was to serve as a baseline on which human demographics are most likely to be able to be predicted through touch screen interactions. In addition, it served as a way of finding which machine learning models are best suited to be applied to a larger scale experiment of this phenomena. We were able to reliably predict both age and race of participants and in the meantime show that the best machine learning models used was Random Forest Decision Trees and Naïve Bayes producing a higher classifier of accuracy than other classifiers tested. While the sample size used during this study was small, due to the ongoing Covid-19 pandemic, the results of this study indicate that research in this area is worthy of significant exploration.
    URI
    http://hdl.handle.net/10342/9089
    Subject
     mobile devices; demographics; gaming; demographics; psychology; predictive 
    Date
    2021-04-20
    Citation:
    APA:
    Williams, Baylea. (April 2021). Tactile Demographics: Predicting Demographic Information Using Touch Data from Mobile Devices (Master's Thesis, East Carolina University). Retrieved from the Scholarship. (http://hdl.handle.net/10342/9089.)

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    MLA:
    Williams, Baylea. Tactile Demographics: Predicting Demographic Information Using Touch Data from Mobile Devices. Master's Thesis. East Carolina University, April 2021. The Scholarship. http://hdl.handle.net/10342/9089. September 29, 2023.
    Chicago:
    Williams, Baylea, “Tactile Demographics: Predicting Demographic Information Using Touch Data from Mobile Devices” (Master's Thesis., East Carolina University, April 2021).
    AMA:
    Williams, Baylea. Tactile Demographics: Predicting Demographic Information Using Touch Data from Mobile Devices [Master's Thesis]. Greenville, NC: East Carolina University; April 2021.
    Collections
    • Computer Science
    • Master's Theses
    Publisher
    East Carolina University

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