skip to main content
10.1145/3290607.3299043acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
extended-abstract

Teaching Data Visualization and Storytelling with Data Comic Workshops

Published:02 May 2019Publication History

ABSTRACT

This paper presents a method for hands-on creation of data comics in a workshop context and includes a description of the results, lessons learned and future improvements. Data comics is a promising format for data-driven storytelling, leveraging the power of data visualization and visual storytelling with comics. However, authoring data comics requires a diverse range of skills that are both creative and analytical. Our workshop is aimed at developing a blue-print for future workshops and reflecting on challenges and potential improvements. Within a 3-week assignment for an illustration class, we ran three 3-hour sessions. Our design was informed by the experiences of previous data-comics workshops. Results show the creative potential of data comics. Challenges to learn from the workshop include the stages to introduce data visualizations and journalistic narratives, the structuring of stories and the method of developing iterations of comic drafts. We close by reflecting on these challenges and how they can inform future improvements and adaptations.

Skip Supplemental Material Section

Supplemental Material

cs26p.mp4

mp4

3.2 MB

cs26.mp4

mp4

229.3 MB

References

  1. Benjamin Bach, Nathalie Henry Riche, Sheelagh Carpendale, and Hanspeter Pfister. 2017. The Emerging Genre of Data Comics. IEEE Computer Graphics and Applications 38, 3 (2017), 6--13. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Benjamin Bach, Moritz Stefaner, Jeremy Boy, Steven Drucker, Lyn Bartram, Jo Wood, Paolo Ciuccarelli, Yuri Engelhardt, Ulrike Koeppen, and Barbara Tversky. 2018. Narrative Design Patterns for Data-Driven Storytelling. In Data-Driven Storytelling. AK Peters/CRC Press, 125--152.Google ScholarGoogle Scholar
  3. Benjamin Bach, Zezhong Wang, Matteo Farinella, Dave Murray-Rust, and Nathalie Henry Riche. 2018. Design patterns for data comics. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 38. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Alberto Cairo. 2012. The Functional Art: An introduction to information graphics and visualization. New Riders. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Shiqing He and Eytan Adar. 2017. VizItCards: A Card-Based Toolkit for Infovis Design Education. IEEE Transactions on Visualization & Computer Graphics 1 (2017), 561--570. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Marti A Hearst. 2016. Active learning assignments for student acquisition of design principles. In Pedagogy Data Visualization, IEEE VIS Workshop.Google ScholarGoogle Scholar
  7. Samuel Huron, Sheelagh Carpendale, Jeremy Boy, and Jean-Daniel Fekete. 2016. Using VisKit: A manual for running a constructive visualization workshop. In Pedagogy of Data Visualization Workshop at IEEE VIS 2016.Google ScholarGoogle Scholar
  8. Samuel Huron, Pauline Gourlet, Uta Hinrichs, Trevor Hogan, and Yvonne Jansen. 2017. Let's Get Physical: Promoting Data Physicalization in Workshop Formats. In Conference on Designing Interactive Systems. ACM, 1409--1422. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Ethan Kerzner, Sarah Goodwin, Jason Dykes, Sara Jones, and Miriah Meyer. 2018. A Framework for Creative VisualizationOpportunities Workshops. IEEE transactions on visualization and computer graphics (2018).Google ScholarGoogle Scholar
  10. Cole N. Knaflic. 2015. Storytelling with data: A data visualization guide for business professionals. John Wiley & Sons.Google ScholarGoogle Scholar
  11. Petera Kun, Ingrida Mulder, and Gerda Kortuem. 2018. Data Exploration for Generative Design Research. In Design Research Society. Design Research Society, 1342--1345.Google ScholarGoogle Scholar
  12. Giorgia Lupi and Stefanie Posavec. 2018. Observe, Collect, Draw: A Visual Journal. Chronicle Books.Google ScholarGoogle Scholar
  13. Michele Mauri, Tommaso Elli, Giorgio Caviglia, Giorgio Uboldi, and Matteo Azzi. 2017. RAWGraphs: A Visualisation Platform to Create Open Outputs. In Proceedings of the 12th Biannual Conference on Italian SIGCHI Chapter. ACM, 28. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Sean McKenna, Nathalie Henry Riche, Bongshin Lee, Jeremy Boy, and Miriah Meyer. 2017. Visual narrative flow: Exploring factors shaping data visualization story reading experiences. In Computer Graphics Forum. Wiley Online Library, 377--387. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Sean McKenna, Alexander Lex, and Miriah Meyer. 2017. Worksheets for Guiding Novices through the Visualization Design Process. arXiv preprint arXiv:1709.05723 (2017).Google ScholarGoogle Scholar
  16. Deborah Nolan and Jamis Perrett. 2016. Teaching and learning data visualization: Ideas and assignments. The American Statistician 70, 3 (2016), 260--269.Google ScholarGoogle ScholarCross RefCross Ref
  17. Nathalie Henry Riche, Christophe Hurter, Nicholas Diakopoulos, and Sheelagh Carpendale. 2018. Data-driven Storytelling. CRC Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Jonathan C Roberts. 2011. The Five Design-Sheet (FdS) approach for Sketching Information Visualization Designs.. In Eurographics (Education Papers). 29--36.Google ScholarGoogle Scholar
  19. Zhenpeng Zhao, Rachael Marr, and Niklas Elmqvist. 2015. Data Comics: Sequential Art for Data-Driven Storytelling. tech. report (2015).Google ScholarGoogle Scholar

Index Terms

  1. Teaching Data Visualization and Storytelling with Data Comic Workshops

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
      May 2019
      3673 pages
      ISBN:9781450359719
      DOI:10.1145/3290607

      Copyright © 2019 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 2 May 2019

      Check for updates

      Qualifiers

      • extended-abstract

      Acceptance Rates

      Overall Acceptance Rate6,164of23,696submissions,26%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format .

    View HTML Format