A Lie Reveals the Truth: Quasimodes for Task-Aligned Data Presentation

Designers are often discouraged from creating data visualizations that omit or distort information, because they can easily be misleading. However, the same representations that could be used to deceive can provide benefits when chosen to appropriately align with user tasks. We present an interaction technique, Perceptual Glimpses, which allows for the transparent presentation of so-called 'deceptive' views of information that are made temporary using quasimodes. When presented using Perceptual Glimpses, message-level exaggeration caused by a truncated axis on a bar chart was reduced under some conditions, but users require guidance to avoid errors, and view presentation order may affect trust. When Perceptual Glimpses was extended to display a range of views that might otherwise be deceptive or difficult to understand if shown out of context, users were able to understand and leverage these transformations to perform a range of low-level tasks. Design recommendations and examples suggest extensions of the technique.

[1]  Jean-Daniel Fekete,et al.  Suggested Interactivity: Seeking Perceived Affordances for Information Visualization , 2016, IEEE Transactions on Visualization and Computer Graphics.

[2]  Monica M. C. Schraefel,et al.  TouchViz: a case study comparing two interfaces for data analytics on tablets , 2013, CHI.

[3]  J.C. Roberts,et al.  State of the Art: Coordinated & Multiple Views in Exploratory Visualization , 2007, Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization (CMV 2007).

[4]  Colin Ware,et al.  Information Visualization: Perception for Design , 2000 .

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

[6]  James P. Ahrens,et al.  Drag and Track: A Direct Manipulation Interface for Contextualizing Data Instances within a Continuous Parameter Space , 2019, IEEE Transactions on Visualization and Computer Graphics.

[7]  Barbara Tversky,et al.  Animation: can it facilitate? , 2002, Int. J. Hum. Comput. Stud..

[8]  Oded Nov,et al.  The Persuasive Power of Data Visualization , 2014, IEEE Transactions on Visualization and Computer Graphics.

[9]  Edward R. Tufte,et al.  The Visual Display of Quantitative Information , 1986 .

[10]  John T. Stasko,et al.  Expanding Selection for Information Visualization Systems on Tablet Devices , 2016, ISS.

[11]  HeerJeffrey,et al.  D3 Data-Driven Documents , 2011 .

[12]  James R. Eagan,et al.  Low-level components of analytic activity in information visualization , 2005, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005..

[13]  Richard A. Becker,et al.  Brushing scatterplots , 1987 .

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

[15]  Bernice E. Rogowitz,et al.  How not to lie with visualization , 1996 .

[16]  Wijnand A. IJsselsteijn,et al.  Deceptive visualizations and user bias: a case for personalization and ambiguity in PI visualizations , 2016, UbiComp Adjunct.

[17]  Jeffrey Heer,et al.  Black Hat Visualization , 2017 .

[18]  Jeffrey Heer,et al.  SpanningAspectRatioBank Easing FunctionS ArrayIn ColorIn Date Interpolator MatrixInterpola NumObjecPointI Rectang ISchedu Parallel Pause Scheduler Sequen Transition Transitioner Transiti Tween Co DelimGraphMLCon IData JSONCon DataField DataSc Dat DataSource Data DataUtil DirtySprite LineS RectSprite , 2011 .

[19]  Oded Nov,et al.  How Deceptive are Deceptive Visualizations?: An Empirical Analysis of Common Distortion Techniques , 2015, CHI.

[20]  M. Sheelagh T. Carpendale,et al.  Data-Driven Storytelling (Dagstuhl Seminar 16061) , 2016, Dagstuhl Reports.

[21]  Bongshin Lee,et al.  TouchPivot: Blending WIMP & Post-WIMP Interfaces for Data Exploration on Tablet Devices , 2017, CHI.

[22]  Karrie Karahalios,et al.  Frames and Slants in Titles of Visualizations on Controversial Topics , 2018, CHI.

[23]  Jon Trinder,et al.  The Humane Interface: New Directions for Designing Interactive Systems , 2002, Interact. Learn. Environ..

[24]  Robert Kosara,et al.  Presentation-Oriented Visualization Techniques , 2016, IEEE Computer Graphics and Applications.

[25]  Richard L Street,et al.  Subjective Numeracy and the Influence of Order and Amount of Audible Information on Perceived Medication Value , 2017, Medical decision making : an international journal of the Society for Medical Decision Making.

[26]  Camilla Forsell,et al.  Interaction Support for Visual Comparison Inspired by Natural Behavior , 2012, IEEE Transactions on Visualization and Computer Graphics.

[27]  Daniel Asimov,et al.  The grand tour: a tool for viewing multidimensional data , 1985 .

[28]  Pierre Dragicevic,et al.  Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation , 2008, IEEE Transactions on Visualization and Computer Graphics.

[29]  Claire Lauer,et al.  Testing the Susceptibility of Users to Deceptive Data Visualizations When Paired with Explanatory Text , 2018, SIGDOC.

[30]  Abigail Sellen,et al.  The Prevention of Mode Errors Through Sensory Feedback , 1992, Hum. Comput. Interact..

[31]  Vidya Setlur,et al.  Four Experiments on the Perception of Bar Charts , 2014, IEEE Transactions on Visualization and Computer Graphics.

[32]  D. Budescu,et al.  Consistency in interpretation of probabilistic phrases , 1985 .

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

[34]  Pierre Dragicevic,et al.  The Attraction Effect in Information Visualization , 2017, IEEE Transactions on Visualization and Computer Graphics.

[35]  Edward Lank,et al.  Introducing Transient Gestures to Improve Pan and Zoom on Touch Surfaces , 2018, CHI.

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

[37]  Chris Stolte,et al.  Rendering effective route maps: improving usability through generalization , 2001, SIGGRAPH.

[38]  Pierre Dragicevic,et al.  Temporal distortion for animated transitions , 2011, CHI.

[39]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[40]  Steven Franconeri,et al.  Ranking Visualizations of Correlation Using Weber's Law , 2014, IEEE Transactions on Visualization and Computer Graphics.

[41]  David Borland,et al.  Rainbow Color Map (Still) Considered Harmful , 2007 .

[42]  Stirling Bryan,et al.  Exploiting order effects to improve the quality of decisions. , 2014, Patient education and counseling.

[43]  M. Monmonier How to Lie with Maps , 1991 .

[44]  Fanny Chevalier,et al.  DataTours: A Data Narratives Framework , 2017 .

[45]  W. Cleveland,et al.  Variables on Scatterplots Look More Highly Correlated When the Scales Are Increased , 1982, Science.

[46]  Jeffrey Heer,et al.  Animated Transitions in Statistical Data Graphics , 2007, IEEE Transactions on Visualization and Computer Graphics.

[47]  M. Lepper,et al.  Considering the opposite: a corrective strategy for social judgment. , 1984, Journal of personality and social psychology.

[48]  Mahzarin R. Banaji,et al.  First Is Best , 2012, PloS one.

[49]  William Ribarsky,et al.  Automatic Animation for Time‐Varying Data Visualization , 2010, Comput. Graph. Forum.

[50]  Thomas Mussweiler,et al.  Overcoming the Inevitable Anchoring Effect: Considering the Opposite Compensates for Selective Accessibility , 2000 .

[51]  Wg.Cdr. Pongphet Congpuong How to lie With Statistics , 2013 .

[52]  Franziska Marquart,et al.  Communication and persuasion : central and peripheral routes to attitude change , 1988 .

[53]  Elizabeth C. Hirschman,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[54]  M. Sheelagh T. Carpendale,et al.  More Than Telling a Story: Transforming Data into Visually Shared Stories , 2015, IEEE Computer Graphics and Applications.

[55]  André Calero Valdez,et al.  Priming and Anchoring Effects in Visualization , 2018, IEEE Transactions on Visualization and Computer Graphics.

[56]  Jonathan C. Roberts,et al.  Visual comparison for information visualization , 2011, Inf. Vis..