Design Patterns for Data Comics

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

doi:10.1145/3173574.3173612

Design Patterns for Data Comics

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

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 language	English
Title of host publication	ACM Conference on Human Factors in Computing Systems (CHI)
Publisher	ACM
Number of pages	12
ISBN (Electronic)	978-1-4503-5620-6
DOIs	https://doi.org/10.1145/3173574.3173612
Publication status	Published - 21 Apr 2018
Event	CHI 2018 - Palais des Congrès de Montréal, Montreal, Canada Duration: 21 Apr 2018 → 26 Apr 2018

Conference

Conference	CHI 2018
Country/Territory	Canada
City	Montreal
Period	21/04/18 → 26/04/18

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10.1145/3173574.3173612

Bach2018designpatternsAccepted author manuscript, 5.96 MB

https://dl.acm.org/citation.cfm?doid=3173574.3173612

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@inproceedings{a85f7fa5548f46ec9082473154a66b90,

title = "Design Patterns for Data Comics",

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.",

author = "Benjamin Bach and Zezhong Wang and Matteo Farinella and Dave Murray-Rust and {Henry Riche}, Nathalie",

year = "2018",

month = apr,

day = "21",

doi = "10.1145/3173574.3173612",

language = "English",

booktitle = "ACM Conference on Human Factors in Computing Systems (CHI)",

publisher = "ACM",

note = "CHI 2018 ; Conference date: 21-04-2018 Through 26-04-2018",

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T1 - Design Patterns for Data Comics

AU - Bach, Benjamin

AU - Wang, Zezhong

AU - Farinella, Matteo

AU - Murray-Rust, Dave

AU - Henry Riche, Nathalie

PY - 2018/4/21

Y1 - 2018/4/21

N2 - 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.

AB - 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.

UR - https://chi2018.acm.org/

U2 - 10.1145/3173574.3173612

DO - 10.1145/3173574.3173612

M3 - Conference contribution

BT - ACM Conference on Human Factors in Computing Systems (CHI)

PB - ACM

T2 - CHI 2018

Y2 - 21 April 2018 through 26 April 2018

ER -

Design Patterns for Data Comics

Abstract / Description of output

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