| Title | Toward Privacy Enhanced Solutions For Granular Control Over Health Data Collected by Wearable Devices |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Lowens, Byron M. |
| Conference Name | Proceedings of the 2018 Workshop on MobiSys 2018 Ph.D. Forum |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-5841-5 |
| Keywords | Gesture Elicitation, HCI, Human Behavior, privacy, pubcrawl, Resiliency, Scalability, wearables, wearables security |
| 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 dissertation is to design and build human-centered solutions that address the need for granular privacy control over data generated by wearable devices. |
| URL | http://doi.acm.org/10.1145/3212711.3212714 |
| DOI | 10.1145/3212711.3212714 |
| Citation Key | lowens_toward_2018 |
Toward Privacy Enhanced Solutions For Granular Control Over Health Data Collected by Wearable Devices