research-article

Understanding Data Videos: Looking at Narrative Visualization through the Cinematography Lens

Authors:

Fereshteh Amini,

Nathalie Henry Riche,

Christophe Hurter,

Pourang IraniAuthors Info & Claims

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Pages 1459 - 1468

https://doi.org/10.1145/2702123.2702431

Published: 18 April 2015 Publication History

Abstract

Data videos, motion graphics that incorporate visualizations about facts, are increasingly gaining popularity as a means of telling stories with data. However, very little is systematically recorded about (a) what elements are featured in data videos and (b) the processes used to create them. In this article, we provide initial insights to build this knowledge. We first report on a qualitative analysis of 50 professionally designed data videos, extracting and exposing their most salient constituents. Second, we report on a series of workshops with experienced storytellers from cinematography, graphics design and screenplay writing. We provided them with a set of data facts and visualizations and observed them create storyboards for data videos. From these exploratory studies, we derive broader implications for the design of an authoring tool to enable a wide audience to create data videos. Our findings highlight the importance of providing a flexible tool supporting a non-linear creation process and allowing users to iteratively go back to different phases of the process.

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Cited By

Kusnick JMayr ESeirafi KBeck SLiem JWindhager F(2024)Every Thing Can Be a Hero! Narrative Visualization of Person, Object, and Other BiographiesInformatics10.3390/informatics1102002611:2(26)Online publication date: 26-Apr-2024
https://doi.org/10.3390/informatics11020026
Garreton MMoyano DGuerra JParra D(2024)Survey of data stories: Guidelines for data story authoringInformation Visualization10.1177/14738716241287116Online publication date: 23-Oct-2024
https://doi.org/10.1177/14738716241287116
Wu KQuadri GWang AOsei-Tutu DPetersen EKoushik VSzafir D(2024)Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental DisabilitiesProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675615(1-17)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3675615
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Index Terms

Understanding Data Videos: Looking at Narrative Visualization through the Cinematography Lens
1. Human-centered computing

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cover image ACM Conferences

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

April 2015

4290 pages

ISBN:9781450331456

DOI:10.1145/2702123

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 April 2015

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CHI '15

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SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

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CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Kusnick JMayr ESeirafi KBeck SLiem JWindhager F(2024)Every Thing Can Be a Hero! Narrative Visualization of Person, Object, and Other BiographiesInformatics10.3390/informatics1102002611:2(26)Online publication date: 26-Apr-2024
https://doi.org/10.3390/informatics11020026
Garreton MMoyano DGuerra JParra D(2024)Survey of data stories: Guidelines for data story authoringInformation Visualization10.1177/14738716241287116Online publication date: 23-Oct-2024
https://doi.org/10.1177/14738716241287116
Wu KQuadri GWang AOsei-Tutu DPetersen EKoushik VSzafir D(2024)Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental DisabilitiesProceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3663548.3675615(1-17)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3663548.3675615
Shi XWang YWang YZhao J(2024)Piet: Facilitating Color Authoring for Motion Graphics VideoProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642711(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642711
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Wu GGuo SHoffswell JChan GRossi RKoh E(2024)Socrates: Data Story Generation via Adaptive Machine-Guided Elicitation of User FeedbackIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332736330:1(131-141)Online publication date: 1-Jan-2024
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Dasu KKuo YMa K(2024)Character-Oriented Design for Visual Data StorytellingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332657830:1(98-108)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326578
Walchshofer CDhanoa VStreit MMeyer M(2024)Transitioning to a Commercial Dashboarding System: Socio-Technical Observations and OpportunitiesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332652530:1(381-391)Online publication date: 1-Jan-2024
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Chen QCao SWang JCao N(2024)How Does Automation Shape the Process of Narrative Visualization: A Survey of ToolsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.326132030:8(4429-4448)Online publication date: Aug-2024
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Van Den Bosch CPeeters NUrkens JIpers GWolff AClaes S(2024)Situating data stories in space to entice new audiences to engage with scienceBehaviour & Information Technology10.1080/0144929X.2024.240836143:14(3325-3339)Online publication date: 16-Oct-2024
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