Yuting Liao

Hello!

 

I'm a Ph.D. candidate in Information Studies at the University of Maryland, College Park.

As an HCI researcher, I leverage both quantitative and qualitative methods to explore human experiences interacting with social technology. In particular, I study how people make information disclosure decision in various socio-technical contexts, from fitness trackers, conversational AI to online social networks. 

 

I work with Dr. Jessica Vitak and Dr. Beth St Jean at the Human-Computer Interaction Lab. I received a master degree in Communication, Culture & Technology at Georgetown University and a bachelor in Journalism and Communication at the Renmin University of China.

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My Research Topics

My Methods

UX Research

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

12/2016 - Current

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 - Current

Survey| Interview | Card Sorting

Natual Language Processing 

Survey |Focus Group

 

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.

 

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

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Statistical Modelling

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

 

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

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