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Email: jiayingliu@utexas.edu

@JiayingLizzyLiu

I am actively seeking self-motivated undergraduates, master students, and peers to collaborate. Please don't hesitate to shoot me an email to brainstorm and develop ideas if you share similar interests with me!

I am a Ph.D candidate at the School of Information at the University of Texas at Austin, advised by Dr. Yan Zhang. I also work closely with Dr. Elliott Hauser. I graduated from Peking University in 2021 with two B.S. degrees in Information Management and Economics, advised by Dr. Chang Liu.

 

My research interests lie in the intersection of HCI, HRI, technology use, and mental well-being. I use both qualitative and quantitative approaches, participatory design, and ethnography to:

  • explore the relationships between technology use (social media, videos, VR, and robotics) and human emotions

  • and improve the mental well-being of historically underserved and marginalized communities such as first-generation college students in China

Updates

  • 04/24: I am looking for an undergrad or master student to join an ongoing project, please check here for details.

  • 04/24: My second time receiving the Summer-only Fellowship

  • 03/24: I am awarded the student travel grant (~$2000) by ICHI 24! Can't wait to connect with peers in Orlando, FL!3

  • 02/24: I am thrilled to receive the University Continuing Fellowship from UT Austin. The fellowship supports one doctoral student from each department. It is a real honor!

  • 02/24: One paper to HRI 24 was accepted!

  • 01/24: One CSCW 24 paper got accepted! This is my first project in my doctoral program, lasting almost three years.

Selected Projects

Community Robots Encounter

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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

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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

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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

Google Scholar

  • 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])

  • 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]).

  • 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

  • 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]

  • 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]

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

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