Data Visualization Practitioners’ Perspectives on Chartjunk

Chartjunk is a popular yet contentious topic. Previous studies have shown that extreme minimalism is not always best, and that visual embellishments can be useful depending on the context. While more knowledge is being developed regarding the effects of embellishments on users, less attention has been given to the perspectives of practitioners regarding how they design with embellishments. We conducted semi-structured interviews with 20 data visualization practitioners, investigating how they understand chartjunk and the factors that influence how and when they make use of embellishments. Our investigation uncovers a broad and pluralistic understanding of chartjunk among practitioners, and foregrounds a variety of personal and situated factors that influence the use of chartjunk beyond context. We highlight the personal nature of design practice, and discuss the need for more practice-led research to better understand the ways in which concepts like chartjunk are interpreted and used by practitioners.

[1]  Heidi Lam,et al.  A Framework of Interaction Costs in Information Visualization , 2008, IEEE Transactions on Visualization and Computer Graphics.

[2]  Nadine Moacdieh,et al.  Is “chart junk” useful? An extended examination of visual embellishment , 2014 .

[3]  John T. Stasko,et al.  Casual Information Visualization: Depictions of Data in Everyday Life , 2007, IEEE Transactions on Visualization and Computer Graphics.

[4]  Kamran Sedig,et al.  Transactions on Human-computer Interaction Thci Design for Complex Cognitive Activities with Visual Representations: a Pattern-based Approach Sedig and Parsons Interaction Design for Complex Cognitive Activities with Visualizations , 2022 .

[5]  Ron Wakkary,et al.  Understanding interaction design practices , 2011, CHI.

[6]  Hanspeter Pfister,et al.  Beyond Memorability: Visualization Recognition and Recall , 2016, IEEE Transactions on Visualization and Computer Graphics.

[7]  Lucy A. Suchman,et al.  Plans and Situated Actions: The Problem of Human-Machine Communication (Learning in Doing: Social, , 1987 .

[8]  Alex Endert,et al.  Beyond Usability and Performance: A Review of User Experience-focused Evaluations in Visualization , 2016, BELIV '16.

[9]  Eric D. Ragan,et al.  Memorability of Enhanced Informational Graphics: The effects of design relevance and chart type on recall , 2020 .

[10]  Michael Gleicher,et al.  Bad for Data, Good for the Brain : Knowledge-First Axioms For Visualization Design , 2014 .

[11]  V. Braun,et al.  Using thematic analysis in psychology , 2006 .

[12]  Arvind Satyanarayan,et al.  Critical Reflections on Visualization Authoring Systems , 2019, IEEE Transactions on Visualization and Computer Graphics.

[13]  Steven Franconeri,et al.  ISOTYPE Visualization: Working Memory, Performance, and Engagement with Pictographs , 2015, CHI.

[14]  Paul Parsons,et al.  Assessing User Engagement in Information Visualization , 2017, CHI Extended Abstracts.

[15]  Edward Rolf Tufte,et al.  The visual display of quantitative information , 1985 .

[16]  Uta Hinrichs,et al.  Bottom-up vs. Top-down: Trade-offs in Efficiency, Understanding, Freedom and Creativity with InfoVis Tools , 2017, CHI.

[17]  Eytan Adar,et al.  Benefitting InfoVis with Visual Difficulties , 2011, IEEE Transactions on Visualization and Computer Graphics.

[18]  Elizabeth Boling,et al.  Judgment and Instructional Design: How ID Practitioners Work In Practice , 2015 .

[19]  Carl Gutwin,et al.  Useful junk?: the effects of visual embellishment on comprehension and memorability of charts , 2010, CHI.

[20]  N. Cross.  Designerly ways of knowing , 2006 .

[21]  Theresa-Marie Rhyne,et al.  An Emotional Response to the Value of Visualization , 2019, IEEE Computer Graphics and Applications.

[22]  Olav W. Bertelsen,et al.  Design Artefacts: Towards a design-oriented epistemology , 2000, Scand. J. Inf. Syst..

[23]  Erik Stolterman,et al.  Reprioritizing the relationship between HCI research and practice: bubble-up and trickle-down effects , 2014, Conference on Designing Interactive Systems.

[24]  Wilmot Li,et al.  Techniques for Flexible Responsive Visualization Design , 2020, CHI.

[25]  Bongshin Lee,et al.  Reflecting on the Evaluation of Visualization Authoring Systems : Position Paper , 2018, 2018 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV).

[26]  Alfons Maes,et al.  Would you prefer pie or cupcakes? Preferences for data visualization designs of professionals and laypeople in graphic design , 2014, J. Vis. Lang. Comput..

[27]  Paul Parsons,et al.  What Design Methods do DataVis Practitioners Know and Use? , 2020, CHI Extended Abstracts.

[28]  Douglas J. Gillan,et al.  Minimalism and the Syntax of Graphs: II. Effects of Graph Backgrounds on Visual Search , 2009 .

[29]  Joachim Meyer,et al.  Chartjunk or goldgraph? Effects of persenataion objectives and content desirability on information presentation: effects of presentation objectives and content desirability on information presentation , 1999 .

[30]  Irene Reppa,et al.  An Empirical Study on Using Visual Embellishments in Visualization , 2012, IEEE Transactions on Visualization and Computer Graphics.

[31]  Barry A. Wray,et al.  Minimalism in Data Visualization: Perceptions of Beauty, Clarity, Effectiveness, and Simplicity , 2018 .

[32]  Ann M. Bisantz,et al.  A comparison of the effects of data–ink ratio on performance with dynamic displays in a monitoring task , 2002 .

[33]  Steven M. Drucker,et al.  Iterating between Tools to Create and Edit Visualizations , 2017, IEEE Transactions on Visualization and Computer Graphics.

[34]  Jason Dykes,et al.  Criteria for Rigor in Visualization Design Study , 2019, IEEE Transactions on Visualization and Computer Graphics.

[35]  M. Sheelagh T. Carpendale,et al.  Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff , 2019, IEEE Transactions on Visualization and Computer Graphics.

[36]  Erik Stolterman,et al.  The Nature of Design Practice and Implications for Interaction Design Research , 2008 .

[37]  Joachim Meyer,et al.  Chartjunk or Goldgraph? Effects of Presentation Objectives and Content Desirability on Information Presentation , 1999, MIS Q..

[38]  Michelle A. Borkin,et al.  What Makes a Visualization Memorable? , 2013, IEEE Transactions on Visualization and Computer Graphics.

[39]  Colin M. Gray,et al.  Design Judgment in Data Visualization Practice , 2020, 2020 IEEE Visualization Conference (VIS).

[40]  C. Kostelnick.  The Visual Rhetoric of Data Displays: The Conundrum of Clarity , 2007, IEEE Transactions on Professional Communication.

[41]  Joachim Meyer,et al.  Minimalism in information visualization: attitudes towards maximizing the data-ink ratio , 2007, ECCE '07.