THESIS DEFENSE: Jason Wiese
When
-
Where
GHC 6115
Description
Evolving the Ecosystem of Personal Behavioral Data
Jason Wiese
COMMITTEE
Jason Hong (Co-Chair)
John Zimmerman (Co-Chair)
Anind Dey
James Landay (Stanford University)
DOCUMENT
http://www.cs.cmu.edu/~jwwiese/JasonWieseThesisDocument.pdf
ABSTRACT
Personal data is everywhere. The widespread adoption of the Internet, fueled by the proliferation of smartphones and data plans, has resulted in an amazing amount of digital information about each individual. Social interactions (e.g. email, SMS, phone, Skype, Facebook), planning and coordination (e.g. calendars, TripIt, Basecamp, online to do lists), entertainment (e.g. YouTube, iTunes, Netflix, Spotify), and commerce (e.g. online banking, credit card purchases, Amazon, Zappos, eBay) all generate personal data.
This data holds promise for a breadth of new service opportunities to improve people’s lives through deep personalization, through tools to manage aspects of their personal wellbeing, and through services that support identity construction. However, there is a broad gap between this vision of leveraging personal data to benefit individuals and the state of personal data today.
This thesis synthesizes previous research on personal data and describes a generalized framework for developing applications that depend on personal data, exposing current challenges and issues. Next, it defines a set of design goals to improve the state of personal data systems today. Finally, it contributes Phenom, a software service designed to address the challenges of developing applications that rely on personal data.