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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. 

  • My github page
  • My LinkedIn page

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

Social Network Analysis

  • Assessing the online presence of civil society organization based on Twitter Interaction of Uganda National NGO Forum

Machine Learning

  • Predicting Crowdfunding Campaign Performance

  • 25231-github-cat-in-a-circle-icon-vector-icon-vector-eps

Statistical Modelling

  • Applying path analysis to explore why some American avoid health information

 

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  • Analyzing survey with inferential statistics, such as Chi-square, ANOVA, regression, etc.

  • Evaluating social dynamics and anti-smoking campaign message effect on Facebook 

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