论文标题
Colvis：为不同用户组的协作可视化设计研讨会
ColVis: Collaborative Visualization Design Workshops for Diverse User Groups
论文作者
论文摘要
在当今的数据可视化字段中，了解不同类型的用户需求甚至可能更为关键，因为新手用户的探索性可视化越来越广泛，随着越来越多的数据源的量。数据驱动项目的复杂性需要包括跨学科专家和新手用户的输入。我们的研讨会框架有助于与专家和新手用户合作采取设计决策，例如概述用户和目标，识别任务，构建数据并创建数据可视化想法。我们为两个不同的数据可视化项目进行了研讨会。对于每个项目，我们与域专家的项目利益相关者进行了一个研讨会，然后与新手用户进行了第二次研讨会。我们从参与者那里收集了反馈，并对该过程进行了批判性反思。稍后，我们提出了有关他人如何使用该研讨会结构的建议。我们的主要贡献是（1）设计数据可视化的研讨会框架，（2）描述从多个研讨会中学到的结果和经验教训。
Understanding different types of users' needs can even be more critical in today's data visualization field, as exploratory visualizations for novice users are becoming more widespread with an increasing amount of data sources. The complexity of data-driven projects requires input from including interdisciplinary expert and novice users. Our workshop framework helps taking design decisions collaboratively with experts and novice users, on different levels such as outlining users and goals, identifying tasks, structuring data, and creating data visualization ideas. We conducted workshops for two different data visualization projects. For each project, we conducted a workshop with project stakeholders who are domain experts, then a second workshop with novice users. We collected feedback from participants and used critical reflection on the process. Later on, we created recommendations on how this workshop structure can be used by others. Our main contributions are, (1) the workshop framework for designing data visualizations, (2) describing the outcomes and lessons learned from multiple workshops.
