Hannah Hutton
|
Year 4 Student – 2019 Intake – Cohort 1 My background is in computer science, although my interests lie primarily in the human aspects of privacy and privacy of health data. For my PhD I am looking at individuals' understanding of the inferences that can be made about them from the health data that they share online, particularly via mobile devices. The current focus is on determining which factors affect an individual's perception of these inferences and how these could be manipulated to improve privacy. |
PhD Project |
Improving User Privacy in Mobile and Ubiquitous Health Technologies The current movement towards hyper-connectivity has meant that all the technology that used to be analog is now digital, connected, and sending data about its users out across the Internet. This is even true in the healthcare sector, despite the sensitive and personal nature of much of this data. Mobile and ubiquitous health technologies are of particular interest, as they are generally not developed by healthcare professionals but by private companies who aren't necessarily prioritising the privacy of their customers. Advances in computing now allow data processing to happen on a vast scale - both in terms of the number of people whose data is being processed, and the quantity of data that exists about each person. Processing of health data in this way can be used to infer information about individuals that they otherwise might not have shared, and some of these inferences can be particularly sensitive. This project aims to evaluate how much people know and understand about the inferences that can be made about them from the data they share whilst using these technologies, and how this awareness can be improved in order to help people make more informed choices when it comes to their data sharing decisions. Supervisors: Dr David Ellis (Bath) and Professor Julie Barnett (Bath) |
PhD Poster |
|
Events Attended |
|
Publications / Presented Papers |
Hutton, H. J., & Ellis, D. A. (2023, April). Exploring User Motivations Behind iOS App Tracking Transparency Decisions. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-12). [https://dl.acm.org/doi/10.1145/3544548.3580654] |
Personal Research Website |
|
Social Media |