• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

VisOHC:为在线健康社区设计可视化分析

VisOHC: Designing Visual Analytics for Online Health Communities.

作者信息

Kwon Bum Chul, Kim Sung-Hee, Lee Sukwon, Choo Jaegul, Huh Jina, Yi Ji Soo

出版信息

IEEE Trans Vis Comput Graph. 2016 Jan;22(1):71-80. doi: 10.1109/TVCG.2015.2467555.

DOI:10.1109/TVCG.2015.2467555
PMID:26529688
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4638132/
Abstract

Through online health communities (OHCs), patients and caregivers exchange their illness experiences and strategies for overcoming the illness, and provide emotional support. To facilitate healthy and lively conversations in these communities, their members should be continuously monitored and nurtured by OHC administrators. The main challenge of OHC administrators' tasks lies in understanding the diverse dimensions of conversation threads that lead to productive discussions in their communities. In this paper, we present a design study in which three domain expert groups participated, an OHC researcher and two OHC administrators of online health communities, which was conducted to find with a visual analytic solution. Through our design study, we characterized the domain goals of OHC administrators and derived tasks to achieve these goals. As a result of this study, we propose a system called VisOHC, which visualizes individual OHC conversation threads as collapsed boxes-a visual metaphor of conversation threads. In addition, we augmented the posters' reply authorship network with marks and/or beams to show conversation dynamics within threads. We also developed unique measures tailored to the characteristics of OHCs, which can be encoded for thread visualizations at the users' requests. Our observation of the two administrators while using VisOHC showed that it supports their tasks and reveals interesting insights into online health communities. Finally, we share our methodological lessons on probing visual designs together with domain experts by allowing them to freely encode measurements into visual variables.

摘要

通过在线健康社区(OHC),患者和护理人员交流他们的疾病经历以及战胜疾病的策略,并提供情感支持。为了促进这些社区内健康且活跃的对话,OHC管理员应持续对其成员进行监督和培养。OHC管理员任务的主要挑战在于理解对话线程的不同维度,这些维度能在其社区中引发富有成效的讨论。在本文中,我们展示了一项设计研究,有三个领域专家小组参与其中,一位OHC研究人员以及两个在线健康社区的OHC管理员,该研究旨在通过视觉分析解决方案来找到相关方法。通过我们的设计研究,我们明确了OHC管理员的领域目标,并得出实现这些目标的任务。作为这项研究的结果,我们提出了一个名为VisOHC的系统,它将单个OHC对话线程可视化为折叠框——对话线程的一种视觉隐喻。此外,我们用标记和/或光束增强了发帖者的回复作者网络,以展示线程内的对话动态。我们还开发了针对OHC特点的独特度量,可根据用户请求为线程可视化进行编码。我们观察了两位管理员使用VisOHC的情况,结果表明它支持他们的任务,并揭示了关于在线健康社区的有趣见解。最后,我们分享了与领域专家一起探索视觉设计的方法经验,即允许他们自由地将度量编码为视觉变量。

相似文献

1
VisOHC: Designing Visual Analytics for Online Health Communities.VisOHC:为在线健康社区设计可视化分析
IEEE Trans Vis Comput Graph. 2016 Jan;22(1):71-80. doi: 10.1109/TVCG.2015.2467555.
2
Personas in online health communities.在线健康社区中的用户角色。
J Biomed Inform. 2016 Oct;63:212-225. doi: 10.1016/j.jbi.2016.08.019. Epub 2016 Aug 26.
3
Analyzing and Predicting User Participations in Online Health Communities: A Social Support Perspective.从社会支持视角分析与预测用户在在线健康社区中的参与度
J Med Internet Res. 2017 Apr 24;19(4):e130. doi: 10.2196/jmir.6834.
4
"How Did We Get Here?": Topic Drift in Online Health Discussions.“我们如何走到这一步?”:在线健康讨论中的话题漂移
J Med Internet Res. 2016 Nov 2;18(11):e284. doi: 10.2196/jmir.6297.
5
Lessons Learned for Online Health Community Moderator Roles: A Mixed-Methods Study of Moderators Resigning From WebMD Communities.在线健康社区版主角色的经验教训:一项关于从WebMD社区辞职的版主的混合方法研究。
J Med Internet Res. 2016 Sep 8;18(9):e247. doi: 10.2196/jmir.6331.
6
Perceived healthcare provider reactions to patient and caregiver use of online health communities.医疗服务提供者对患者及护理人员使用在线健康社区的感知反应。
Patient Educ Couns. 2014 Sep;96(3):320-6. doi: 10.1016/j.pec.2014.05.015. Epub 2014 May 29.
7
Attraction, selection, and attrition in online health communities: Initial conversations and their association with subsequent activity levels.在线健康社区中的吸引、选择和流失:初始对话及其与后续活动水平的关联。
Int J Med Inform. 2020 Sep;141:104216. doi: 10.1016/j.ijmedinf.2020.104216. Epub 2020 Jun 18.
8
Finding influential users of online health communities: a new metric based on sentiment influence.发现在线健康社区的有影响力的用户:一种基于情感影响的新指标。
J Am Med Inform Assoc. 2014 Oct;21(e2):e212-8. doi: 10.1136/amiajnl-2013-002282. Epub 2014 Jan 21.
9
Assessment of Adaptive Engagement and Support Model for People With Chronic Health Conditions in Online Health Communities: Combined Content Analysis.评估在线健康社区中患有慢性健康状况人群的适应性参与和支持模型:综合内容分析。
J Med Internet Res. 2020 Jul 7;22(7):e17338. doi: 10.2196/17338.
10
Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impact.作为社会支持信息学干预手段的在线癌症社区:概念化、特征描述及影响
J Am Med Inform Assoc. 2017 Mar 1;24(2):451-459. doi: 10.1093/jamia/ocw093.

引用本文的文献

1
Artificial Intelligence-Based Medical Data Mining.基于人工智能的医学数据挖掘
J Pers Med. 2022 Aug 24;12(9):1359. doi: 10.3390/jpm12091359.
2
QDS-COVID: A visual analytics system for interactive exploration of millions of COVID-19 healthcare records in Brazil.QDS-COVID:一个用于交互式探索巴西数百万份新冠医疗记录的可视化分析系统。
Appl Soft Comput. 2022 Jul;124:109093. doi: 10.1016/j.asoc.2022.109093. Epub 2022 Jun 3.
3
Towards Supporting Patient Decision-making In Online Diabetes Communities.支持在线糖尿病社区中的患者决策

本文引用的文献

1
TopicPanorama: A Full Picture of Relevant Topics.主题全景:相关主题的全貌。
IEEE Trans Vis Comput Graph. 2016 Dec;22(12):2508-2521. doi: 10.1109/TVCG.2016.2515592. Epub 2016 Jan 7.
2
Design Study Methodology: Reflections from the Trenches and the Stacks.设计研究方法:来自实践与理论的思考
IEEE Trans Vis Comput Graph. 2012 Dec;18(12):2431-40. doi: 10.1109/TVCG.2012.213.
3
How Hierarchical Topics Evolve in Large Text Corpora.层次主题如何在大型文本语料库中演变。
AMIA Annu Symp Proc. 2018 Apr 16;2017:1893-1902. eCollection 2017.
4
Detecting clinically related content in online patient posts.检测在线患者帖子中的临床相关内容。
J Biomed Inform. 2017 Nov;75:96-106. doi: 10.1016/j.jbi.2017.09.015. Epub 2017 Oct 3.
5
DisVis: Visualizing Discussion Threads in Online Health Communities.DisVis:在线健康社区中讨论线程的可视化
AMIA Annu Symp Proc. 2017 Feb 10;2016:944-953. eCollection 2016.
IEEE Trans Vis Comput Graph. 2014 Dec;20(12):2281-90. doi: 10.1109/TVCG.2014.2346433.
4
Design Activity Framework for Visualization Design.可视化设计的设计活动框架。
IEEE Trans Vis Comput Graph. 2014 Dec;20(12):2191-200. doi: 10.1109/TVCG.2014.2346331.
5
Constructing Visual Representations: Investigating the Use of Tangible Tokens.构建视觉表现:探究实体代币的使用。
IEEE Trans Vis Comput Graph. 2014 Dec;20(12):2102-11. doi: 10.1109/TVCG.2014.2346292.
6
Clinical Questions in Online Health Communities: The Case of "See your doctor" Threads.在线健康社区中的临床问题:“看医生”主题帖的案例
CSCW Conf Comput Support Coop Work. 2015;2015:1488-1499. doi: 10.1145/2675133.2675259.
7
Visual analysis of topic competition on social media.社交媒体话题竞争的可视化分析。
IEEE Trans Vis Comput Graph. 2013 Dec;19(12):2012-21. doi: 10.1109/TVCG.2013.221.
8
Text classification for assisting moderators in online health communities.在线健康社区中帮助版主进行文本分类。
J Biomed Inform. 2013 Dec;46(6):998-1005. doi: 10.1016/j.jbi.2013.08.011. Epub 2013 Sep 8.
9
Barriers and facilitators for the implementation of an online clinical health community in addition to usual fertility care: a cross-sectional study.除常规生育护理外实施在线临床健康社区的障碍与促进因素:一项横断面研究
J Med Internet Res. 2013 Aug 30;15(8):e163. doi: 10.2196/jmir.2098.
10
Identifying medical terms in patient-authored text: a crowdsourcing-based approach.识别患者撰写文本中的医学术语:基于众包的方法。
J Am Med Inform Assoc. 2013 Nov-Dec;20(6):1120-7. doi: 10.1136/amiajnl-2012-001110. Epub 2013 May 5.