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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.
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
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
Anchor 1
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.
Anchor 2
Data Analytics
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Evaluating social dynamics and anti-smoking campaign message effect on Facebook
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