Design Patterns for Data Comics

Benjamin Bach, Zezhong Wang, Matteo Farinella, Dave Murray-Rust, Nathalie Henry Riche

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Data comics for data-driven storytelling are inspired by the visual language of comics and aim to communicate insights in data through visualizations. While comics are widely known, few examples of data comics exist and there has not been any structured analysis nor guidance for their creation. We introduce data-comic design-patterns, each describing a set of panels with a specific narrative purpose, that allow for rapid storyboarding of data comics while showcasing their expressive potential. Our patterns are derived from i) analyzing common patterns in infographics, datavideos, and existing data comics, ii) our experiences creating data comics for different scenarios. Our patterns demonstrate how data comics allow an author to combine the best of both worlds: spatial layout and overview from infographics as well as linearity and narration from videos and presentations.
Original languageEnglish
Title of host publicationACM Conference on Human Factors in Computing Systems (CHI)
PublisherACM
Number of pages12
ISBN (Electronic)978-1-4503-5620-6
DOIs
Publication statusPublished - 21 Apr 2018
EventCHI 2018 - Palais des Congrès de Montréal, Montreal, Canada
Duration: 21 Apr 201826 Apr 2018

Conference

ConferenceCHI 2018
CountryCanada
CityMontreal
Period21/04/1826/04/18

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