Toward a Unified Framework for Visualization Design Guidelines

Visualizations are now widely adopted across disciplines, providing effective means to understand and communicate data. However, people still frequently create misleading visualizations that distort the underlying data and ultimately misinform the audience. While design guidelines exist, they are currently scattered across different sources and devised by different people, often missing design trade-offs in different contexts and providing inconsistent and conflicting design knowledge to visualization practitioners. Our goal in this work is to investigate the ontology of visualization design guidelines and derive a unified framework for structuring the guidelines. We collected existing guidelines on the web and analyzed them using the grounded theory approach. We describe the current landscape of the available guidelines and propose a structured template for describing visualization design guidelines.

[1]  Tamara Munzner,et al.  Visualization Analysis and Design , 2014, A.K. Peters visualization series.

[2]  Daniel A. Keim,et al.  VisGuides: A Forum for Discussing Visualization Guidelines , 2018, EuroVis.

[3]  Jean-Daniel Fekete,et al.  A Principled Way of Assessing Visualization Literacy , 2014, IEEE Transactions on Visualization and Computer Graphics.

[4]  Anselm L. Strauss,et al.  Grounded theory : Strategien qualitativer Forschung , 2006 .

[5]  Katy Börner,et al.  Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessments , 2019, Proceedings of the National Academy of Sciences.

[6]  W. Cleveland,et al.  Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods , 1984 .

[7]  Tamara Munzner,et al.  The nested blocks and guidelines model , 2015, Inf. Vis..

[8]  Jeffrey Heer,et al.  Crowdsourcing graphical perception: using mechanical turk to assess visualization design , 2010, CHI.

[9]  James Scott-Brown,et al.  Presenting Visualization Guideline Collections , 2018 .

[10]  Benjamin Bach,et al.  Cheat Sheets for Data Visualization Techniques , 2020, CHI.

[11]  Sung-Hee Kim,et al.  VLAT: Development of a Visualization Literacy Assessment Test , 2017, IEEE Transactions on Visualization and Computer Graphics.

[12]  Paul N. Bennett,et al.  Guidelines for Human-AI Interaction , 2019, CHI.

[13]  Tamara Munzner,et al.  A Multi-Level Typology of Abstract Visualization Tasks , 2013, IEEE Transactions on Visualization and Computer Graphics.

[14]  Fanny Chevalier,et al.  Visualization Literacy at Elementary School , 2017, CHI.