I earned my Ph.D. in information studies from the College of Computing & Informatics at Drexel University. I also hold a M.S. degree in information science from the University of North Carolina at Chapel Hill and a Bachelor's degree from Sun Yat-sen University.
I am a human-centered computing researcher, with strong interdisciplinary expertise in human-computer interaction (HCI), usable privacy & security, privacy-enhancing technologies, health informatics, ubiquitous computing, and applied machine learning/artificial intelligence (ML/AI). I investigate both social and technical research topics to ensure the use of people’s personal information/data is appropriate, fair, and meaningful, particulary by emerging computing and information technologies.
Specifically, I examine how emerging computing and information technologies impact people's personal information (e.g., the Internet of Things, wearable health trackers), from which I identify underlying socio-technical challenges related to people’s personal information (e.g., data privacy transparency, ethics around ML/AI). Built on my research findings, I also design and develop proof-of-concept systems to address these challenges (e.g., ML/AI-enabled personalized privacy assistants). The ultimate goal of my research is to improve people’s personal wellbeing and to achieve greater social good through computing and information technologies.
Many children are spending increasing amounts of time each day using a wide range of screen media. Numerous government and local agencies provide advice to parents and other caregivers about children’s screen media practices. However, parents and caregivers sometimes struggle when trying to navigate this information and advice, and many youth services librarians are unsure how to talk to parents about becoming a “media mentor” for their children.
Funded by the Institute of Museum and Library Services (IMLS), researchers from three U.S. universities collaboratively research and develop screen media education training modules for public librarians and community partners working with parents and/or caregivers of children ages 5 to 11. I worked on the study design and qualitative data collection in the first year of the project.
Today’s consumer-facing activity trackers, such as fitness wristbands and smartwatches, often hold the promise of improving users’ health, yet problems in user interaction with activity tracking technology, such as low user adoption, short-lived use, and limited user engagement, undermine the potential health benefits. My dissertation research tackles these problems by developing a comprehensive understanding of non-patient healthy activity tracker users’ personal health information management (PHIM) with the data generated by their devices, an essential component of long-term user interaction with activity tracking technology.
Building on personal information management theories and activity tracker user research, I conducted a web survey study and an in-depth interview study that jointly examined healthy activity tracker users’ PHIM behaviors with data generated by their devices. This work contributes to existing research in information science, human-computer interaction, ubiquitous computing, and health informatics at empirical, theoretical, and methodological levels.
Our research team at Drexel University has developed StepQuest, a social exergame that uses both competition and cooperation mechanics to increase social interaction among players and ultimately promote their physical activity levels.
In the early phase project, I conducted mixed-methods user studies to evaluate how StepQuest impact players' social interactions in the game and their daily physical activity levels. I also contributed to iterative user experience decisions for StepQuest based on research findings. This project later receives funding from the National Science Foundation.
The Federal Aviation Administration’s W. J. Hughes Technical Center (the Tech Center) in Atlantic City, NJ, deals with huge amount of technical data in their daily operation, but struggled with data management and preservation for potential future reuse. A research team from Drexel University was contracted to to develop requirements and a prototype for a data curation system to manage their technical data.
In this project, I conducted a series field studies to gather requirements from multiple labs at the Tech Center, and translated such requirements into design guidelines for the data curation system based on the Tech Center’s existing data practice and curation needs.
For reserach or professional matters, drop me a line at X AT uvm DOT edu (where X = Yuanyuan.Feng). For personal or semi-professional things, check out my social media below.