Visual analytics in context: Theory into practice

上下文中的可视化分析：理论付诸实践

• 批准号: 419081-2011
• 负责人: Rensink, Ronald
• 金额: $ 8.51万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=531383
• 关键词: Visual; analytics; context; Theory; into

Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces. It is an evolving multidisciplinary field developed to help people derive insights from massive, dynamic, ambiguous, and often conflicting data. Visual analytics takes advantage of the visual intelligence and cognitive capabilities unique to human analysts, coupled with interactive, exploratory, and visualisation software tools. The primary scientific and technical objectives of the project are to better understand the nature and use of visual analytics systems and how they can be effectively applied to various industries working with large, complex date sets. The project will focus on three research directions by following a path from theory, to learning, to practice and deployment. First, we will conduct basic research on human visual capabilities relevant to information visualisation and visual analysis. Results of these investigations will establish theory relevant to how humans should design and use such systems, leading to enhanced designs using more effective visualizations. Next, we will develop a challenging learning environment where university students and industry employees can learn about visual analytics from experienced student mentors by using available visual analytics tools to explore real problems using real data sets. Finally, we will apply visual analytics techniques and tools to make visual sense of financial records. Guiding research questions include: how to apply visual analytics to support financial risk analysis and decision-making, how to analyse archival data, and how to conceptualize and analyse risk in the information assurance domain? Several benefits accrue as a result of this project. It will contribute to the advancement of Canada as a leader in visual analytics research, learning and deployment. The project involves a team of highly qualified students and researchers who will be trained in this promising and innovative new area of research. Upon completion, our industrial partners can use their new knowledge and procedures on their proprietary data, likely employing the unique skill sets acquired by the students and researchers involved in this project.

可视化分析是通过交互式可视化界面促进分析推理的科学。它是一个不断发展的多学科领域，旨在帮助人们从大量，动态，模糊且经常相互冲突的数据中获得见解。可视化分析利用了人类分析师独有的视觉智能和认知能力，以及交互式、探索性和可视化软件工具。该项目的主要科学和技术目标是更好地了解视觉分析系统的性质和用途，以及如何将它们有效地应用于处理大型复杂日期集的各个行业。该项目将重点关注三个研究方向，遵循从理论，学习，实践和部署的路径。首先，我们将进行有关信息可视化和视觉分析的人类视觉能力的基础研究。这些调查的结果将建立与人类应该如何设计和使用这些系统相关的理论，从而使用更有效的可视化来增强设计。接下来，我们将开发一个具有挑战性的学习环境，大学生和行业员工可以通过使用可用的可视化分析工具，从经验丰富的学生导师那里学习可视化分析，以使用真实的数据集探索真实的问题。最后，我们将应用可视化分析技术和工具来实现财务记录的可视化。指导性研究问题包括：如何应用可视化分析来支持金融风险分析和决策，如何分析归档数据，以及如何概念化和分析信息保障领域的风险？这一项目带来了若干好处。它将有助于推动加拿大成为视觉分析研究，学习和部署的领导者。该项目涉及一个高素质的学生和研究人员团队，他们将在这个有前途的创新研究领域接受培训。完成后，我们的工业合作伙伴可以在其专有数据上使用他们的新知识和程序，可能会使用参与该项目的学生和研究人员获得的独特技能。