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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!

 

At Capital One, I lead foundational and evaluative design research to help designers and product managers make decisions. I also drive strategic customer research to innovate financial and digital services for a new flagship business card product.

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In academia, I studied privacy and how people share personal information when using technologies like fitness trackers, smart home devices, and social media. 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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