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

Fereshteh Amini 1 Nathalie Henry Riche 2 Bongshin Lee 3 Christophe Hurter 4 Pourang Irani 1
1 University of Manitoba [Winnipeg]
2 Microsoft Research [Redmond]
3 CUE
Microsoft Research [Redmond]
4 LII - ENAC - Laboratoire d'Informatique Interactive
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.
Type de document :
Communication dans un congrès
CHI '15 33rd Annual ACM Conference on Human Factors in Computing Systems, Apr 2015, Seoul, South Korea. ACM, pp.1459-1468 / 978-1-4503-3145-6, 〈10.1145/2702123.2702431〉
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Soumis le : jeudi 4 juin 2015 - 14:35:07
Dernière modification le : mardi 30 janvier 2018 - 14:06:02
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Fereshteh Amini, Nathalie Henry Riche, Bongshin Lee, Christophe Hurter, Pourang Irani. Understanding Data Videos: Looking at Narrative Visualization through the Cinematography Lens. CHI '15 33rd Annual ACM Conference on Human Factors in Computing Systems, Apr 2015, Seoul, South Korea. ACM, pp.1459-1468 / 978-1-4503-3145-6, 〈10.1145/2702123.2702431〉. 〈hal-01159202〉

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