Exploring Visual Information Flows in Infographics

Min Lu; Chufeng Wang; Joel Lanir; Nanxuan Zhao; Hanspeter Pfister; Daniel Cohen-Or; Hui Huang

doi:10.1145/3313831.3376263

Exploring Visual Information Flows in Infographics

Min Lu, Chufeng Wang, Joel Lanir, Nanxuan Zhao, Hanspeter Pfister, Daniel Cohen-Or, Hui Huang

Department of Information Systems

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

Abstract

Infographics are engaging visual representations that tell an informative story using a fusion of data and graphical elements. The large variety of infographic design poses a challenge for their high-level analysis. We use the concept of Visual Information Flow (VIF), which is the underlying semantic structure that links graphical elements to convey the information and story to the user. To explore VIF, we collected a repository of over 13K infographics. We use a deep neural network to identify visual elements related to information, agnostic to their various artistic appearances. We construct the VIF by automatically chaining these visual elements together based on Gestalt principles. Using this analysis, we characterize the VIF design space by a taxonomy of 12 different design patterns. Exploring in a real-world infographic dataset, we discuss the design space and potentials of VIF in light of this taxonomy.

Original language	English
Title of host publication	CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450367080
DOIs	https://doi.org/10.1145/3313831.3376263
State	Published - 21 Apr 2020
Event	2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 - Honolulu, United States Duration: 25 Apr 2020 → 30 Apr 2020

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020
Country/Territory	United States
City	Honolulu
Period	25/04/20 → 30/04/20

Bibliographical note

Publisher Copyright:
© 2020 ACM.

Keywords

design analysis
infographics
visual information flow

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Human-Computer Interaction
Software

Access to Document

10.1145/3313831.3376263

Cite this

Lu, M., Wang, C., Lanir, J., Zhao, N., Pfister, H., Cohen-Or, D., & Huang, H. (2020). Exploring Visual Information Flows in Infographics. In CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems Article 3376263 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376263

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title = "Exploring Visual Information Flows in Infographics",

abstract = "Infographics are engaging visual representations that tell an informative story using a fusion of data and graphical elements. The large variety of infographic design poses a challenge for their high-level analysis. We use the concept of Visual Information Flow (VIF), which is the underlying semantic structure that links graphical elements to convey the information and story to the user. To explore VIF, we collected a repository of over 13K infographics. We use a deep neural network to identify visual elements related to information, agnostic to their various artistic appearances. We construct the VIF by automatically chaining these visual elements together based on Gestalt principles. Using this analysis, we characterize the VIF design space by a taxonomy of 12 different design patterns. Exploring in a real-world infographic dataset, we discuss the design space and potentials of VIF in light of this taxonomy.",

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doi = "10.1145/3313831.3376263",

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Lu, M, Wang, C, Lanir, J, Zhao, N, Pfister, H, Cohen-Or, D & Huang, H 2020, Exploring Visual Information Flows in Infographics. in CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems., 3376263, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020, Honolulu, United States, 25/04/20. https://doi.org/10.1145/3313831.3376263

Exploring Visual Information Flows in Infographics. / Lu, Min; Wang, Chufeng; Lanir, Joel et al.
CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2020. 3376263 (Conference on Human Factors in Computing Systems - Proceedings).

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

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AU - Cohen-Or, Daniel

AU - Huang, Hui

PY - 2020/4/21

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Exploring Visual Information Flows in Infographics

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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