Comparing Effectiveness and Engagement of Data Comics and Infographics

This paper compares the effectiveness of data comics and infographics for data-driven storytelling. While infographics are widely used, comics are increasingly popular for explaining complex and scientific concepts. However, empirical evidence comparing the effectiveness and engagement of infographics, comics and illustrated texts is still lacking. We report on the results of two complementary studies, one in a controlled setting and one in the wild. Our results suggest participants largely prefer data comics in terms of enjoyment, focus, and overall engagement and that comics improve understanding and recall of information in the stories. Our findings help to understand the respective roles of the investigated formats as well as inform the design of more effective data comics and infographics.

[1]  Frances Kelly,et al.  Unflattening , 2017 .

[2]  T. Foulsham,et al.  Reading Without Words: Eye Movements in the Comprehension of Comic Strips , 2016 .

[3]  Nicholas Diakopoulos,et al.  Visualization Rhetoric: Framing Effects in Narrative Visualization , 2011, IEEE Transactions on Visualization and Computer Graphics.

[4]  Adam Martin,et al.  Graphic Novels in the Classroom. , 2009 .

[5]  Mico Tatalovic,et al.  Science comics as tools for science education and communication: a brief, exploratory study , 2009 .

[6]  Benjamin Naumann,et al.  Mental Representations A Dual Coding Approach , 2016 .

[7]  Barbara Tversky,et al.  Visualizing Thought , 2011, Top. Cogn. Sci..

[8]  Jeffrey Heer,et al.  Narrative Visualization: Telling Stories with Data , 2010, IEEE Transactions on Visualization and Computer Graphics.

[9]  Neil Cohn,et al.  The Visual Language of Comics: Introduction to the Structure and Cognition of Sequential Images. , 2013 .

[10]  Kathryn M Porter,et al.  A randomized study of multimedia informational aids for research on medical practices: Implications for informed consent , 2017, Clinical trials.

[11]  Sung-Hee Kim,et al.  Towards a Taxonomy for Evaluating User Engagement in Information Visualization , 2015 .

[12]  Christopher Frantz,et al.  Comic Strip Narratives in Time Geography , 2018, ISPRS Int. J. Geo Inf..

[13]  Katharina Scheiter,et al.  The effect of layout and pacing on learning from diagrams with unnecessary text , 2018, Applied cognitive psychology.

[14]  J. Hosler,et al.  Are Comic Books an Effective Way to Engage Nonmajors in Learning and Appreciating Science?1 , 2011, CBE - Life Sciences Education.

[15]  Christophe Hurter,et al.  Data-Driven Storytelling , 2017 .

[16]  Huifen Lin,et al.  READING AUTHENTIC EFL TEXT USING VISUALIZATION AND ADVANCE ORGANIZERS IN A MULTIMEDIA LEARNING ENVIRONMENT , 2007 .

[17]  Allison Lee,et al.  Graphic novels in the classroom , 2008 .

[18]  Benjamin Bach,et al.  Teaching Data Visualization and Storytelling with Data Comic Workshops , 2019, CHI Extended Abstracts.

[19]  Zening Qu,et al.  Keeping Multiple Views Consistent: Constraints, Validations, and Exceptions in Visualization Authoring , 2019, IEEE Transactions on Visualization and Computer Graphics.

[20]  A. Baddeley Human Memory: Theory and Practice, Revised Edition , 1990 .

[21]  Zhenpeng Zhao,et al.  Understanding Partitioning and Sequence in Data-Driven Storytelling , 2019, iConference.

[22]  H. Episodes as Chunks in Narrative Memory , 2004 .

[23]  P. Chandler,et al.  Cognitive Load Theory and the Format of Instruction , 1991 .

[24]  Camillia Matuk,et al.  Engaging Teenagers with Science Through Comics , 2013, Research in science education.

[25]  Sarah McNicol,et al.  The potential of educational comics as a health information medium , 2016, Health information and libraries journal.

[26]  Bongshin Lee,et al.  A Deeper Understanding of Sequence in Narrative Visualization , 2013, IEEE Transactions on Visualization and Computer Graphics.

[27]  Kyle Wm. Hall,et al.  Telling Stories about Dynamic Networks with Graph Comics , 2016, CHI.

[28]  Neil Cohn,et al.  The architecture of visual narrative comprehension: the interaction of narrative structure and page layout in understanding comics , 2014, Front. Psychol..

[29]  M. Bannert,et al.  Construction and interference in learning from multiple representation , 2003 .

[30]  Jock D. Mackinlay,et al.  Storytelling: The Next Step for Visualization , 2013, Computer.

[31]  Paul A. Aleixo,et al.  Memory for biopsychology material presented in comic book format , 2017 .

[32]  W. Howard Levie,et al.  Effects of text illustrations: A review of research , 1982 .

[33]  Charles Wood,et al.  Viruses, Vaccines and the Public , 2016, Museums & social issues : a journal of reflective discourse.

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

[35]  M. Sheelagh T. Carpendale,et al.  The Emerging Genre of Data Comics , 2017, IEEE Computer Graphics and Applications.

[36]  P. Preux,et al.  Impact of an educational comic book on epilepsy-related knowledge, awareness, and attitudes among school children in Ethiopia , 2016, Epilepsy & Behavior.

[37]  A. Paivio,et al.  Dual coding theory and education , 1991 .

[38]  A. D. Manning,et al.  Understanding Comics: The Invisible Art , 1993 .

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

[40]  Matteo Farinella,et al.  The potential of comics in science communication , 2018 .

[41]  David Murray-Rust,et al.  Design Patterns for Data Comics , 2018, CHI.

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

[43]  Jeffrey Jones,et al.  Communicating information to patients: the use of cartoon illustrations to improve comprehension of instructions. , 1996, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[44]  Brandon Randolph-Seng,et al.  Graphic Presentation , 2013 .

[45]  Elaine Toms,et al.  The development and evaluation of a survey to measure user engagement , 2010, J. Assoc. Inf. Sci. Technol..

[46]  Daniel J. Wigdor,et al.  More Text Please! Understanding and Supporting the Use of Visualization for Clinical Text Overview , 2018, CHI.

[47]  Zhenpeng Zhao,et al.  Data Comics: Sequential Art for Data-Driven Storytelling , 2015 .

[48]  Joan K. Gallini,et al.  When Is an Illustration Worth Ten Thousand Words , 1990 .

[49]  Hanspeter Pfister,et al.  DataToon: Drawing Dynamic Network Comics With Pen + Touch Interaction , 2019, CHI.