Human-Computer Interaction
Examining how people understand, use, and respond to information and emerging communication technologies.
PhD Student in HCI & Computational Social Sciencee
I am a Ph.D. student in the College of Information at the University of Maryland, working with Prof. Yiwei Xu. My research sits at the intersection of Human-Computer Interaction and Computational Social Science. Recently, I focus on users behavior in the context where AI made mistakes such as AI hallucination and AI bias.
My research has been published in recognized peer-reviewed journals such as International Journal of Human-Computer Interaction and Journalism Studies. Beyond academia, I interned with the User Growth team at TikTok, where I worked on applying generative AI to identify and address user experience issues in push notifications.
I have been awarded the Dean's Scholarship and Doctoral Fellowship from the University of Maryland College of Information, as well as China's National Scholarship. I received my master's degree in Journalism and Communication from Sun Yat-sen University and my bachelor's degree in Information Management and Information Systems from the University of Electronic Science and Technology of China.
Research Interests
Examining how people understand, use, and respond to information and emerging communication technologies.
Studying how information is produced and shared in the digital age through computational approaches.
Investigating the social and behavioral effects of media and information exposure in everyday life.
News
Received an M.A. in Communication from Sun Yat-sen University with honors as an Outstanding Graduate.
Out in the International Journal of Human-Computer Interaction: work with Prof. Zhijing Zhong on user understanding and interaction strategies in response to moral failures in GenAI chatbots, especially gender bias, through three online experiments.
A large-scale analysis of one million tweets from 60 Chinese media outlets on Twitter, co-authored with Prof. Zhijing Zhong, was published in Journalism & Communication Research, a leading journal in Chinese journalism and communication, examining patterns of news homogenization in Chinese media.