CAREER: Supporting Data Visualization Design Practice

该项目旨在推进数据可视化设计的实践，并加强研究和实践社区之间的关系。数据可视化设计作为一种职业越来越受欢迎，数据分析，演示和交流在专业和公共环境中的作用与日常生活越来越相关。这使得了解设计师如何利用可视化设计的学术研究，以及设计实践指出研究文献中的差距变得非常重要。为了解决这些问题，本项目将特别关注数据可视化设计人员的认知-他们如何思考，解决问题并开发解决方案-以及他们在设计时所依赖的知识种类。研究小组还将研究研究和实践社区之间的关系，寻找加强认识，沟通，知识生产和使用它们之间的方法。本研究的结果预计将影响专业设计实践，并导致更好的材料和策略的开发，为未来的可视化设计专业人员的培训。该项目有三个主要的技术目标：（1）描述数据可视化实践中的决策和认知偏差，专注于现实世界实践中的问题制定和解决方案生成;（2）绘制数据可视化设计知识的景观，专注于描述现有知识，理解其潜在的组织原则，并调查其在实践中的生成和使用;（3）分析数据可视化研究与实践社区之间的关系，重点对现有的知识共享方法进行建模，并提出新的知识生产和转移机制。这项工作将借鉴与设计判断和决策，固定和其他认知偏见，设计知识和研究实践关系有关的理论框架。设计实践将使用多种方法进行调查，包括设计探索，半结构化访谈，日记研究，设计挑战和共同创作研讨会。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project aims to advance the practice of data visualization design and strengthen relationships between the research and practitioner communities. Data visualization design is becoming increasingly popular as a profession, and the role of data analysis, presentation, and communication in professional and public contexts is increasingly relevant to everyday life. This makes it important to understand how designers can make use of academic research on visualization design, as well as places where design practice points to gaps in the research literature. To address these questions, this project will take a specific focus on the cognition of data visualization designers—how they think, work through problems, and develop solutions—and the kinds of knowledge they rely on while they design. The research team will also study relationships between the research and practice communities, looking for ways to strengthen awareness, communication, and knowledge production and use between them. Outcomes of this research are expected to influence professional design practice and lead to the development of better materials and strategies for training future visualization design professionals. This project has three primary technical aims: (1) characterize decision making and cognitive biases in data visualization practice, focusing on problem formulation and solution generation in real-world practice; (2) map the landscape of data visualization design knowledge, focusing on characterizing existing knowledge, understanding its underlying organizational principles, and investigating its generation and use in practice; and (3) analyze relationships between the data visualization research and practice communities, focusing on modeling current methods of knowledge sharing and proposing new mechanisms of knowledge production and transfer. The work will draw on theoretical frameworks relating to design judgment and decision making, fixation and other cognitive biases, design knowledge, and research-practice relationships. Design practice will be investigated using a variety of methods, including design probes, semi-structured interviews, diary studies, design challenges, and co-creation workshops.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.