학술논문

ColVis: Collaborative Visualization Design Workshops for Diverse User Groups
Document Type
Conference
Source
2020 24th International Conference Information Visualisation (IV) IV Information Visualisation (IV),2020 24th International Conference. :550-558 Sep, 2020
Subject
Computing and Processing
Conferences
Data visualization
Collaboration
Reflection
Complexity theory
Stakeholders
Task analysis
User centered design
Participatory design
Infor- mation visualization
Language
ISSN
2375-0138
Abstract
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 work- shop 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.