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-Ebert（Fodava II研讨会）社会以及科学和工程社区正在经历我们生成和访问数据的能力前所未有的增长。 将这些数据泛滥变成可用，可行的信息是一项具有挑战性，必要的任务，这对于有效的决策，科学发现和工程进步至关重要。这种日益增长的需求导致了视觉分析领域的发展。过去几年的主要发现表明，协作和互动是完成集成计算人类决策循环的关键组成部分。从个人操纵数据表示到互动认知发现与自动分析结合到自动分析，再到个体组之间的协调和集体互动分析，这是在许多层面上发生的。因此，需要使用新的透明互动工具来支持无处不在和协作的分析和发现的“互动科学”的研究议程。该研讨会将有助于在这项与数据和视觉分析的互动科学中定义研究主题。 研讨会将从基于这个新主题的各种学科中吸引领先的研究人员。焦点主题将是（1）无处不在，体现的相互作用； （2）捕获用户意图指导分析过程； （3）基于视觉认知和机器推理的基于知识的接口； （4）有效的协作与协作工具； （5）设计，感知和可用性的原理； （6）工具的合成性和集成。研讨会的主要结果将是定义视觉和数据分析互动科学的研究路线图的研讨会报告，以及将提交IEEE计算机图形和应用程序的摘要论文？可视化观点或IEEE计算机杂志。