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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!
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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.
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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.
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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.
UX Research
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
Data Analytics
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Evaluating social dynamics and anti-smoking campaign message effect on Facebook