• 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

信息可视化中的心智模型、视觉推理和交互:自上而下的视角。

Mental models, visual reasoning and interaction in information visualization: a top-down perspective.

机构信息

Georgia Institute of Technology, USA.

出版信息

IEEE Trans Vis Comput Graph. 2010 Nov-Dec;16(6):999-1008. doi: 10.1109/TVCG.2010.177.

DOI:10.1109/TVCG.2010.177
PMID:20975137
Abstract

Although previous research has suggested that examining the interplay between internal and external representations can benefit our understanding of the role of information visualization (InfoVis) in human cognitive activities, there has been little work detailing the nature of internal representations, the relationship between internal and external representations and how interaction is related to these representations. In this paper, we identify and illustrate a specific kind of internal representation, mental models, and outline the high-level relationships between mental models and external visualizations. We present a top-down perspective of reasoning as model construction and simulation, and discuss the role of visualization in model based reasoning. From this perspective, interaction can be understood as active modeling for three primary purposes: external anchoring, information foraging, and cognitive offloading. Finally we discuss the implications of our approach for design, evaluation and theory development.

摘要

尽管先前的研究表明,研究内部和外部表示之间的相互作用可以帮助我们理解信息可视化 (InfoVis) 在人类认知活动中的作用,但很少有工作详细描述内部表示的性质、内部表示和外部表示之间的关系以及交互如何与这些表示相关。在本文中,我们确定并说明了一种特定的内部表示,即心理模型,并概述了心理模型和外部可视化之间的高级关系。我们从模型构建和模拟的角度提出了推理的自上而下的观点,并讨论了可视化在基于模型的推理中的作用。从这个角度来看,交互可以被理解为主动建模,主要有三个目的:外部锚定、信息搜索和认知卸载。最后,我们讨论了我们的方法对设计、评估和理论发展的意义。

相似文献

1
Mental models, visual reasoning and interaction in information visualization: a top-down perspective.信息可视化中的心智模型、视觉推理和交互:自上而下的视角。
IEEE Trans Vis Comput Graph. 2010 Nov-Dec;16(6):999-1008. doi: 10.1109/TVCG.2010.177.
2
Benefitting InfoVis with visual difficulties.使信息可视化受益于视觉障碍。
IEEE Trans Vis Comput Graph. 2011 Dec;17(12):2213-22. doi: 10.1109/TVCG.2011.175.
3
The shaping of information by visual metaphors.通过视觉隐喻对信息进行塑造。
IEEE Trans Vis Comput Graph. 2008 Nov-Dec;14(6):1269-76. doi: 10.1109/TVCG.2008.171.
4
Distributed cognition as a theoretical framework for information visualization.分布式认知:信息可视化的理论框架
IEEE Trans Vis Comput Graph. 2008 Nov-Dec;14(6):1173-80. doi: 10.1109/TVCG.2008.121.
5
Casual information visualization: depictions of data in everyday life.日常信息可视化:日常生活中的数据呈现。
IEEE Trans Vis Comput Graph. 2007 Nov-Dec;13(6):1145-52. doi: 10.1109/TVCG.2007.70541.
6
Visual cognition: a new look at the two-visual systems model.视觉认知:对双视觉系统模型的新审视。
Neuropsychologia. 2005;43(2):301-12. doi: 10.1016/j.neuropsychologia.2004.11.016. Epub 2005 Jan 1.
7
Hierarchical aggregation for information visualization: overview, techniques, and design guidelines.层次聚合的信息可视化:概述、技术和设计指南。
IEEE Trans Vis Comput Graph. 2010 May-Jun;16(3):439-54. doi: 10.1109/TVCG.2009.84.
8
Representing task context: proposals based on a connectionist model of action.呈现任务情境:基于行动联结主义模型的提议。
Psychol Res. 2002 Nov;66(4):298-311. doi: 10.1007/s00426-002-0103-8. Epub 2002 Nov 7.
9
The User Puzzle—Explaining the Interaction with Visual Analytics Systems.用户难题——解释与可视化分析系统的交互
IEEE Trans Vis Comput Graph. 2012 Dec;18(12):2908-16. doi: 10.1109/TVCG.2012.273.
10
Knowledge-based vision and simple visual machines.基于知识的视觉与简单视觉机器。
Philos Trans R Soc Lond B Biol Sci. 1997 Aug 29;352(1358):1165-75. doi: 10.1098/rstb.1997.0100.

引用本文的文献

1
The NeoRoo mobile app: Initial design and prototyping of an Android-based digital health tool to support Kangaroo Mother Care in low/middle-income countries (LMICs).NeoRoo移动应用程序:一款基于安卓系统的数字健康工具的初始设计与原型制作,用于支持中低收入国家的袋鼠式护理。
PLOS Digit Health. 2023 Oct 25;2(10):e0000216. doi: 10.1371/journal.pdig.0000216. eCollection 2023 Oct.
2
Developing a Data Dashboard Framework for Population Health Surveillance: Widening Access to Clinical Trial Findings.开发用于人群健康监测的数据仪表板框架:扩大对临床试验结果的获取。
JMIR Form Res. 2019 Apr 4;3(2):e11342. doi: 10.2196/11342.
3
Representation control increases task efficiency in complex graphical representations.
表示控制提高了复杂图形表示任务的效率。
PLoS One. 2018 Apr 26;13(4):e0196420. doi: 10.1371/journal.pone.0196420. eCollection 2018.
4
Different Strokes for Different Folks: Visual Presentation Design between Disciplines.因人而异:不同学科间的视觉呈现设计
IEEE Trans Vis Comput Graph. 2012 Dec;18(12):2411-20. doi: 10.1109/TVCG.2012.214.
5
Knowledge crystallization and clinical priorities: evaluating how physicians collect and synthesize patient-related data.知识结晶与临床重点:评估医生如何收集和综合与患者相关的数据。
AMIA Annu Symp Proc. 2014 Nov 14;2014:1874-83. eCollection 2014.
6
The challenge of big data in public health: an opportunity for visual analytics.公共卫生领域大数据的挑战:可视化分析的机遇。
Online J Public Health Inform. 2014 Feb 5;5(3):223. doi: 10.5210/ojphi.v5i3.4933. eCollection 2014.
7
Enabling dynamic network analysis through visualization in TVNViewer.通过 TVNViewer 中的可视化实现动态网络分析。
BMC Bioinformatics. 2012 Aug 16;13:204. doi: 10.1186/1471-2105-13-204.
8
A cognitive task analysis of a visual analytic workflow: Exploring molecular interaction networks in systems biology.视觉分析工作流程的认知任务分析:探索系统生物学中的分子相互作用网络。
J Biomed Discov Collab. 2011 Mar 21;6:1-33. doi: 10.5210/disco.v6i0.3410.