Toward Privacy Enhanced Solutions For Granular Control Over Health Data Collected by Wearable Devices
Title: Toward Privacy Enhanced Solutions For Granular Control Over Health Data Collected by Wearable Devices
Abstract: The advent of wearable technologies has engendered novel ways to understand human behavior as it relates to personalized healthcare and health management. As the availability of these technologies expand and proliferate among users, concerns about threats to data privacy have been raised, specifically, regarding the collection and dissemination of data from wearable devices. These factors point to the urgency to better understand user sharing preferences to formulate personalized solutions that give users granular control of the data collected by their wearable devices. The goal of my work is to design and build human-centered solutions that address the need for granular privacy control over data generated by wearable devices.
Bio: Byron M. Lowens is a Ph.D. candidate in the Human-Centered Computing Division of the School of Computing at Clemson University where he is advised by Dr. Kelly Caine. His research lies at the intersection of human-centered computing, computer science and usable privacy and security, where he evaluates the co-operative relationship between humans and computational technologies--not just how people use computational technologies, but how these technologies affect the society as a whole. More specifically, his dissertation research uses a human-centered approach, to contribute toward the design of usable and effective privacy control mechanisms for wearable technologies that allow adopters and potential adopters in-the-moment control over personal information. Byron holds a B.S. in Electronics Engineering from Southern University and A&M College, and M.S. in Computer Science from Virginia State University. Prior to pursuing his doctorate, Byron worked as a Full-Time Instructor at Virginia State University in the College of Engineering and Computer Science. Byron is also a 2020 Computing Innovation Fellow recipient where he will work as a postdoctoral researcher with Dr. Florian Schaub and the SpiLab at the University of Michigan. His research will explore objective privacy risks and concerns posed by the adoption of emerging wearable technologies among African American and Latinx populations.
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