19 citations · 45 across the 11 of their papers we have counts for
11 papers
The Capacity to Care: Designing Social Technology for Sustained Engagement With Societal Challenges
JaeWon Kim, Lindsay Popowski, Louisa Conwill +12
People care about climate change, injustice, and humanitarian crises. The challenge is not apathy but capacity: sustained engagement with large-scale problems is psychologically co…
Video-Mediated Emotion Disclosure: Expressions of Fear, Sadness, and Joy by People with Schizophrenia on YouTube
Jiaying Lizzy Liu, Yan Zhang
Individuals with schizophrenia frequently experience intense emotions and often turn to vlogging as a medium for emotional expression. While previous research has predominantly foc…
From Regulation to Support: Centering Humans in Technology-Mediated Emotion Intervention in Care Contexts
Jiaying "Lizzy" Liu, Shuer Zhuo, Xingyu Li +4
Enhancing emotional well-being has become a significant focus in HCI and CSCW, with technologies increasingly designed to track, visualize, and manage emotions. However, these appr…
Can Large Language Models Grasp Concepts in Visual Content? A Case Study on YouTube Shorts about Depression
Jiaying "Lizzy" Liu, Yiheng Su, Praneel Seth
Large language models (LLMs) are increasingly used to assist computational social science research. While prior efforts have focused on text, the potential of leveraging multimodal…
Design for Hope: Cultivating Deliberate Hope in the Face of Complex Societal Challenges
JaeWon Kim, Jiaying "Lizzy" Liu, Lindsay Popowski +10
Design has the potential to cultivate hope in the face of complex societal challenges. These challenges are often addressed through efforts aimed at harm reduction and prevention -…
Displaying Fear, Sadness, and Joy in Public: Schizophrenia Vloggers' Video Narration of Emotion and Online Care-Seeking
Jiaying "Lizzy" Liu, Yunlong Wang, Allen Jue +4
Individuals with severe mental illnesses (SMI), particularly schizophrenia, experience complex and intense emotions frequently. They increasingly turn to vlogging as an authentic m…
A review of theories and models utilized by empirical studies about mental health help-seeking and implications for future research
Jiaying "Lizzy" Liu, Yongjie Sha, Yan Zhang
Purpose: With the rise of mental health risks globally, it is urgent to provide effective mental health support. However, a holistic understanding of how people seek help for menta…
"When I lost it, they dragged me out": How Care Encounters Empower Marginalized Young Adults' Aspiration and Mental Health Care-Seeking
Jiaying Liu, Yan Zhang
Mental health care-seeking among marginalized young adults has received limited attention in CSCW research. Through in-depth interviews and visual elicitation methods with 18 diver…
Harnessing LLMs for Automated Video Content Analysis: An Exploratory Workflow of Short Videos on Depression
Jiaying Lizzy Liu, Yunlong Wang, Yao Lyu +4
Despite the growing interest in leveraging Large Language Models (LLMs) for content analysis, current studies have primarily focused on text-based content. In the present work, we…
Understanding and Facilitating Mental Health Help-Seeking of Young Adults: A Socio-technical Ecosystem Framework
Jiaying Liu, Yan Zhang
Prior research on young adults' mental health help-seeking mostly focuses on one particular resource such as a mobile app or digital platform, paying less attention to their lived…
Modeling Health Video Consumption Behaviors on Social Media: Activities, Challenges, and Characteristics
Jiaying Liu, Yan Zhang
Many people now watch health videos, such as diet, exercise, mental health, COVID-19, and chronic disease videos, on social media. Most existing studies focused on video creators,…