ComViewer: An Interactive Visual Tool to Help Viewers Seek Social Support in Online Mental Health Communities
Shiwei Wu, Mingxiang Wang, Chuhan Shi, Zhenhui Peng
摘要
Online mental health communities (OMHCs) offer rich posts and comments for viewers, who do not directly participate in the communications, to seek social support from others' experience. However, viewers could face challenges in finding helpful posts and comments and digesting the content to get needed support, as revealed in our formative study (N=10). In this work, we present an interactive visual tool named ComViewer to help viewers seek social support in OMHCs. With ComViewer , viewers can filter posts of different topics and find supportive comments via a zoomable circle packing visual component that adapts to searched keywords. Powered by LLM, ComViewer supports an interactive sensemaking process by enabling viewers to interactively highlight, summarize, and question any community content. A within-subjects study (N=20) demonstrates ComViewer's strengths in providing viewers with a more simplified, more fruitful, and more engaging support-seeking experience compared to a baseline OMHC interface without ComViewer . We further discuss design implications for facilitating information-seeking and sense making in online mental health communities.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper4
- Redesign of Online Design Communities: Facilitating Personalized Visual Design Learning with Structured CommentsXia Chen, Xinyue Chen, Weixian Hu, Haojia Zheng 等CSCW 2025 · 被引用 2 次
- CommSense: Facilitating Bias-Aware and Reflective Navigation of Online Comments for Rational JudgmentYang Ouyang, Shenghan Gao, Ruichuan Wang, Hailiang Zhu 等CHI 2026 · 被引用 2 次
- Designing AI-Infused Interactive Systems for Online Communities: A Systematic Literature ReviewYuanhao Zhang, Xiaoyu Wang, Jiaxiong Hu, Ziqi Pan 等CSCW 2026
- CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through CommentsKangyu Yuan, Guanzheng Chen, Sizhe Liang, Hehai Lin 等CSCW 2026
它引用的顶会 Paper22
- Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language ModelsSangho Suh, Bryan Min, Srishti Palani, Haijun XiaUIST 2023 · 被引用 147 次
- Graphologue: Exploring Large Language Model Responses with Interactive DiagramsPeiling Jiang, Jude Rayan, Steven P. Dow, Haijun XiaUIST 2023 · 被引用 135 次
- Exploring the Effects of Technological Writing Assistance for Support Providers in Online Mental Health CommunityZhenhui Peng, Qingyu Guo, Ka Wing Tsang, Xiaojuan MaCHI 2020 · 被引用 80 次
- MetaMap: Supporting Visual Metaphor Ideation through Multi-dimensional Example-based ExplorationYouwen Kang, Zhida Sun, Sitong Wang, Zeyu Huang 等CHI 2021 · 被引用 78 次
- CASS: Towards Building a Social-Support Chatbot for Online Health CommunityLiuping Wang, Dakuo Wang, Feng Tian, Zhenhui Peng 等CSCW 2021 · 被引用 65 次
相关 Paper
- Effects of Support-Seekers' Community Knowledge on Their Expressed Satisfaction with the Received Comments in Mental Health CommunitiesZhenhui Peng, Xiaojuan Ma, Diyi Yang, Ka Wing Tsang 等CHI 2021 · 被引用 28 次
- MentalImager: Exploring Generative Images for Assisting Support-Seekers' Self-Disclosure in Online Mental Health CommunitiesHan Zhang, Jiaqi Zhang, Yuxiang Zhou, Ryan Louie 等CSCW 2025 · 被引用 4 次
- Understanding Community 'Likes' and Clinical Perspective in Mental Health Discourse: Insights from YouTube Comments on College Students' Mental HealthHeejun Kim, Bogeum Choi, Brian Daly, Jina Huh-YooCSCW 2025 · 被引用 1 次
- Matching for Peer Support: Exploring Algorithmic Matching for Online Mental Health CommunitiesAnna Fang, Haiyi ZhuCSCW 2022 · 被引用 20 次
- A Conditional Companion: Lived Experiences of People with Mental Health Disorders Using LLMs: Conditional Companion: LLMs & Mental HealthAditya Kumar Purohit, Hendrik HeuerCHI 2026 · 被引用 3 次
