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Abstract / Description of output
This paper introduces design patterns for dashboards to inform dashboard design processes. Despite a growing number of public examples, case studies, and general guidelines there is surprisingly little design guidance for dashboards. Such guidance is necessary to inspire designs and discuss tradeoffs in, e.g., screenspace, interaction, or information shown. Based on a systematic review of 144 dashboards, we report on eight groups of design patterns that provide common solutions in dashboard design. We discuss combinations of these patterns in “dashboard genres” such as narrative, analytical, or embedded dashboard. We ran a 2-week dashboard design workshop with 23 participants of varying expertise working on their own data and dashboards. We discuss the application of patterns for the dashboard design processes, as well as general design tradeoffs and common challenges. Our work complements previous surveys and aims to support dashboard designers and researchers in co-creation, structured design decisions, as well as future user evaluations about dashboard design guidelines.
Detailed pattern descriptions and workshop material can be found online: https://dashboarddesignpatterns.github.io
Detailed pattern descriptions and workshop material can be found online: https://dashboarddesignpatterns.github.io
Original language | English |
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Pages (from-to) | 342-352 |
Number of pages | 11 |
Journal | IEEE Transactions on Visualization and Computer Graphics |
Volume | 29 |
Issue number | 1 |
Early online date | 26 Sept 2022 |
DOIs | |
Publication status | Published - 1 Jan 2023 |
Event | IEEE VIS 2022 - Oklahoma City, United States Duration: 16 Oct 2022 → 21 Oct 2022 https://www.ieeevis.org/year/2022/welcome |
Keywords / Materials (for Non-textual outputs)
- Dashboards
- Design Patterns
- Data Visualization
- Storytelling
- Visual Analytics
- Qualitative Evaluation
- Education
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Dive into the research topics of 'Dashboard design patterns'. Together they form a unique fingerprint.Projects
- 1 Finished
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RAMP VIS: Making Visual Analytics an Integral Part of the Technological Infrastructure for Combating COVID-19
1/02/21 → 31/01/22
Project: Research