FODAVA II - The Science of Interaction Workshop

摘要- Ebert （FODAVA II Workshop）协会，以及科学和工程界，在我们生成和访问数据的能力方面正在经历前所未有的增长。将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、必要的任务，对有效决策、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可视化分析领域的发展。过去几年的主要发现表明，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，从个人对数据表示的操纵到结合自动化分析的交互式认知发现，再到个人群体之间的协调和集体互动分析。因此，需要一个“交互科学”的研究议程，它将支持利用新的、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交互科学的研究主题。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。焦点议题将是：(1)无处不在的、具体化的互动；(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)设计原则、感知原则和可用性原则；(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，该报告定义了可视化和数据分析交互科学的研究路线图，以及将提交给IEEE计算机图形学与应用的总结论文。可视化视点或IEEE计算机杂志。

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.