Dashboard design patterns

Bach, B., Freeman, E. , Abdul-Rahman, A., Turkay, C., Khan, S., Fan, Y. and Chen, M. (2023) Dashboard design patterns. IEEE Transactions on Visualization and Computer Graphics, 29(1), pp. 342-352. (doi: 10.1109/tvcg.2022.3209448)

Abstract

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

• Item Type: Articles
• Keywords: Computer graphics and computer-aided design, computer vision and pattern recognition, signal processing, software.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Freeman, Dr Euan
• Authors: Bach, B., Freeman, E., Abdul-Rahman, A., Turkay, C., Khan, S., Fan, Y., and Chen, M.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: IEEE Transactions on Visualization and Computer Graphics
• Publisher: IEEE
• ISSN: 1077-2626
• ISSN (Online): 1941-0506
• Published Online: 26 September 2022
• Copyright Holders: Copyright © 2022 IEEE
• First Published: First published in IEEE Transactions on Visualization and Computer Graphicsn 29(1):342-352
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher