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.

Portfolios

HCI Research

Data Analytics

Projects

Current Projects

Past Projects

My Research Topics

My Methods

UX Research

Siri vs. Google Assistant on Smartphone

Survey| Personas | Journey Mapping

Interview | Usability Evaluation

Report

Slides

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

Website

Paper

12/2016 - Current

Using “Listening” Devices at Home

Paper

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