I'm Yuting, a mixed-method UX researcher.
With a Ph.D. degree in Human Computer Interaction, I leverage quantitative and qualitative methods to explore human experiences interacting with social technology. Analytics is my strong suit; I love bridging data science and UX!
Switching from academia to fintech (currently at Intuit), I conduct research on trust, privacy, and data ethics to guide technology design and build harmonious sociotechnical interactions.
My dissertation research focuses on the design and evaluation of an anthropomorphized conversational AI for mental health support. See my research publications on my Google Scholar profile.
I have conducted research internationally in Asia, Europe, and Africa. Before coming to the U.S. in 2013, I was a communication researcher and a journalist in China.
Find me on Github, LinkedIn or via email.
Please note that research projects here are not up-to-date. Most recent portfolio available on request.
Siri vs. Google Assistant on Smartphone
Survey| Personas | Journey Mapping
Interview | Usability Evaluation
The goal of this study is two-fold: 1) to compare user and non-users based on individual characteristics, and 2) to examine usability and user satisfaction of Siri and Google Assistant on smartphones.
09/2017 - 12/2017
Privacy Attitudes of Fitness Tracker Users
As a part of the NSF-funded project, this study evaluates Fitbit users' mental models towards privacy and security when using the ambient device for personal fitness tracking.
12/2016 - 12/2019
Using “Listening” Devices at Home
Focused on AI-enabled smart home devices, I apply NLP and content analysis to evaluate user experience based on 100,000+ consumer-generated reviews. The team further implements survey and focus group to investigate privacy and security concerns.
10/2017 - 05/2019
Survey| Interview | Card Sorting
Natual Language Processing
Survey |Focus Group
Evaluating social dynamics and anti-smoking campaign message effect on Facebook