FODAVA II - The Science of Interaction Workshop

FODAVA II - 交互科学研讨会

• 批准号: 1144379
• 负责人: David Ebert
• 金额: $ 4.9万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1144379&HistoricalAwards=false
• 关键词: FODAVA; II; Science; Interaction; Workshop

Abstract - Ebert (FODAVA II Workshop)Society, as well as the science and engineering communities, is experiencing unprecedented growth in our capability to generate and access data. Turning this data deluge into usable, actionable information is a challenging, necessary task that is crucial to effective decision making, scientific discovery, and engineering advances. This growing need led to the development of the field of visual analytics. Key findings over the past years have illustrated that collaboration and interaction are key components that complete the integrated computational-human decision making loop. This occurs at many levels from individual manipulation of data representation to interactive cognitive discovery combined with automated analysis, to coordinative and collective interactive analysis among groups of individuals. Therefore, a research agenda for the "science of interaction" is needed that will support ubiquitous and collaborative analysis and discovery utilizing new, transparent interaction tools. This workshop will help define the research topics within this Science of Interaction for data and visual analytics. The workshop will gather leading researchers from the variety of disciplines that underpin this new topic. Focal topics will be (1) ubiquitous, embodied interaction; (2) capturing user intent to guide the analytical process; (3) knowledge-based interfaces based on visual cognition and machine reasoning; (4) effective collaboration and collaboration tools; (5) principals of design, perception, and usability; and (6) composability and integration of tools. The main outcome of the workshop will be the workshop report defining a research roadmap for the Science of Interaction for Visual and Data Analytics, as well as a summary paper to be submitted to IEEE Computer Graphics and Applications? Visualization Viewpoints or IEEE Computer magazine.

摘要-埃伯特（FODAVA II车间）社会，以及科学和工程界，正在经历前所未有的增长，我们的能力，以产生和访问数据。 将这些海量数据转化为可用的、可操作的信息是一项具有挑战性的必要任务，对于有效的决策、科学发现和工程进步至关重要。这种不断增长的需求导致了可视化分析领域的发展。过去几年的主要研究结果表明，协作和交互是完成综合计算-人类决策循环的关键组成部分。这发生在许多层面上，从数据表示的个人操作到与自动分析相结合的交互式认知发现，再到个人群体之间的协调和集体交互分析。因此，需要一个“交互科学”的研究议程，以支持利用新的、透明的交互工具进行无处不在的协作分析和发现。本次研讨会将帮助定义数据和可视化分析的交互科学中的研究主题。 研讨会将聚集来自支持这一新主题的各种学科的主要研究人员。重点主题将是（1）无处不在的，具体的交互;（2）捕捉用户意图，以指导分析过程;（3）基于视觉认知和机器推理的知识界面;（4）有效的协作和协作工具;（5）设计，感知和可用性的原则;（6）工具的可组合性和集成性。研讨会的主要成果将是研讨会报告，定义了视觉和数据分析交互科学的研究路线图，以及提交给IEEE计算机图形和应用的总结论文。可视化观点或IEEE计算机杂志。