Jiaying (Lizzy) Liu (刘佳颖)
I am always passionate about working with like-minded researchers and students. Please don't hesitate to shoot me an email or message via socials!
I am a Ph.D candidate at the School of Information at the University of Texas at Austin, advised by Dr. Yan Zhang. I graduated from Peking University in 2021 with two B.S. degrees in Information Management and Economics.
My research interests lie in the intersection of HCI, Mental health, and Emotional well-being. I explore how the social, cultural, technological, and identity-related factors collectively shape people's online and offline emotion disclosure and care-seeking experiences around mental well-being. I use both in-depth ethnographic and large-scale computational methods. Some of my ongoing projects look into,
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understanding how marginalized identity influences people's mental health care-seeking experiences
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and designing wellbeing-centered video-sharing platforms and GenAI applications (e.g., chatbots and image-generation) for marginalized populations. Check out my CV and my Chinese Calligraphy!
Updates
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05/25: Excited to attend the CSST program in Syracuse from May 28- June 1!
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05/25: Our workshop was accepted by CSCW 25. Stay tuned for "Design as Hope: Reframing Complex Societal Challenges Through Collaborative Reflection"
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03/25: Will attend the Oxford Internet Institute–UC Berkeley School of Information Doctoral Program with a full scholarship ($2500) by Berkeley Center for New Media
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02/25: CHI25 LBW Accepted. We experimented with LLM's visual concept understanding with social media videos on depression.
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02/25: New CSCW 25 Preprint: "When I lost it, they dragged me out": How Sociotechnical Ecosystem of Resources Empower Marginalized Young Adults' Mental Health Care-Seeking.
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10/24: Honored to receive two Best Paper Awards from ASIS&T SIG-USE and SIG-HLTH on our paper about Young Adults' Mental Health Help-Seeking Journey (Preprint)
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09/24: Started to work with Prof. Desmond Ong & Prof. Jessy Li on projects around "Embed Contextualized Empathy in LLM‑Powered Chatbots"!
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07/24: CSCW 24 Poster "Using Large Language Models to Assist Video Content Analysis: An Exploratory Study of Short Videos on Depression" is on arXiv!
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07/24: Honored to get two Student Travel Grants by ASIST SIG IEP and Midwest Chapter!
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06/24: Happy to serve as the Associated Chair for CSCW 24 Poster Track
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o6/24: Win the Best PhD Project Honorable Mention at ICHI24!
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02/24: I am thrilled to receive the University Continuing Fellowship from UT Austin. The fellowship supports ONE student from each department. A real honor!
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02/24: Happy to serve as the Associated Chair for IEEE ICHI 24 Paper in the human factors track!
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02/24: One paper to HRI 24 was accepted!
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01/24: One CSCW 24 paper got accepted! This is my first project in my doctoral program, lasting almost three years.
Selected Projects
LLM-Assisted Content Analysis for Videos on Social Media
We explored the potential of LLMs in assisting video content analysis by conducting a case study that followed a new workflow of LLM-assisted multimodal content analysis. The workflow encompasses codebook design, prompt engineering, LLM processing, and human evaluation. We strategically crafted annotation prompts to get LLM Annotations in structured form and explanation prompts to generate LLM Explanations for a better understanding of LLM reasoning and transparency. We identified the potential and limitations of LLM's capabilities in annotating videos. [PDF]
Community Robots Encounter
This is an ongoing project of Living and Working with Robots, aiming to investigate the societal perceptions and influences of robots in an university community. This is one part of a multiyearly funded NSF project "Community-Embedded Robotics: Understanding Sociotechnical Interactions with Long-Term Autonomous Deployments."
Video Consumption on Social Media
Online videos now pervades social media and video consumption has become an ubiquitous behavior. This project began with an empirical study of video consumption on social media in the health context and proposed a model characterizing this process, based on which design implications and future research directions of online vidoes were discussed.
Design of a Assistive Tool for Credibility Evaluation
We designed a Chrome extension to assist users' credibility evaluation of online health information in the guidance of nudge theory. We used both qualitative and quantitative methods to evaluate its usability. This extension can not only provide quick access to credibility indicators but can provide an evaluation framework and correct wrong impressions of users.
Selected Publications
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Jiaying ”Lizzy” Liu*, Yiheng Su*, Praneel Seth. 2025. Can Large Language Models Grasp Concepts in Visual Content? A Case Study on YouTube Shorts about Depression. (CHI’ 25 LBW). [Accepted]
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Jiaying "Lizzy" Liu, Yan Zhang. 2025."When I lost it, they dragged me out": How Sociotechnical Ecosystem of Resources Empower Marginalized Young Adults' Mental Health Care-Seeking. (CSCW25), [Preprint].
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Jiaying Liu*, Yunlong Wang*, Yao Lyu, Yiheng (Sam) Su, Shuo Niu, Xuhai "Orson" Xu, Yan Zhang. 2024. Using Large Language Models to Assist Video Content Analysis: An Exploratory Study of Short Videos on Depression. CSCW 24 Poster. [Pdf])
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Jiaying Liu, Yan Zhang. 2024. Modeling Health Video Consumption Behaviors on Social Media: Activities, Challenges, and Opportunities. In ACM SIGCHI Conference on Computer‑Supported Cooperative Work & Social Computing. (CSCW24, [Pdf])
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Jiaying Liu, Yan Zhang, Yaning Zhu. 2024. Understanding and Facilitating Mental Health Help‑Seeking of Marginalized Young Adults: A Sociotechnical Ecosystem Approach. (CSCW24, under major revision, [Preprint]).
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Katie Trainum, Jiaying Liu, Elliott Hauser, and Bo Xie. 2024. Nursing Staff’s Attitudes, Needs, and Preferences for Care Robots in Assisted Living Facilities: A Systematic Literature Review. In Companion of the 2024 ACM/IEEE International Conference on Human‑Robot Interaction (HRI ’24 Companion), March 11–14, 2024, Boulder, CO, USA.
ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3610978.3640690 -
Yan Zhang, Jiaying Liu, Shijie Song. 2023. "The Design and Evaluation of a Nudge-based Interface to Facilitate Consumers’ Evaluation of Online Health Information Credibility." Journal of the Association for Information Science and Technology, 1– 18. https://asistdl.onlinelibrary.wiley.com/doi/full/10.1002/asi.24759
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Jiaying Liu, Yan Zhang, and Yeolib Kim. 2023. Consumer Health Information Quality, Credibility, and Trust: An Analysis of Definitions, Measures, and Conceptual Dimensions. In ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR ’23), March 19–23, 2023, Austin, TX, USA. ACM, New York, NY, USA, 16 pages. [Full-text]
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Yunlong Wang, Jiaying Liu, Homin Park, Jordan Schultz-McArdle, Stephanie Rosenthal, Judy Kay, and Brian Y. Lim. "SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations." arXiv preprint arXiv:2109.10231 (2021). [Full-text]
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cover letter
Hornors & Awards
Feburary 2024
March 2023
Aug 2021 - Jul 2022
Sept 2019 - June 2020
Sept 2019 - June 2020
Sept 2018 - June 2019
Sept 2018 - June 2019
Sept 2017 - June 2018
University Graduate Continuing Fellowship, $52,000 (1/Department)
SIGIR Student Travel Grant, $1740
William and Margaret Kilgarlin Endowed Scholarship, UT Austin (Equivalent to $52,000)
Merit Student, Peking University (Top 10%)
May Fourth Scholarship, Peking University (Full Tuition Waiver)
Merit Student, Peking University (Top 10%)
May Forth Scholarship, Peking University (Full Tuition Waiver)
Outstanding Study and Work Performance, Pekign University (Top 15%)
March 2024
ICHI 24 Student Travel Grant, ~$2000