Narrative Transitions in Data Videos

Junxiu Tang; Lingyun Yu; Tan Tang; Xinhuan Shu; Lu Ying; Yuhua Zhou; Peiran Ren; Yingcai Wu

doi:10.1109/VIS47514.2020.00037

Narrative Transitions in Data Videos

Junxiu Tang, Lingyun Yu, Tan Tang, Xinhuan Shu, Lu Ying, Yuhua Zhou, Peiran Ren, Yingcai Wu

Department of Computing

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

14 Citations (Scopus)

Abstract

Transitions are widely used in data videos to seamlessly connect data-driven charts or connect visualizations and non-data-driven motion graphics. To inform the transition designs in data videos, we conduct a content analysis based on more than 3500 clips extracted from 284 data videos. We annotate visualization types and transition designs on these segments, and examine how these transitions help make connections between contexts. We propose a taxonomy of transitions in data videos, where two transition categories are defined in building fluent narratives by using visual variables.

Original language	English
Title of host publication	Proceedings - 2020 IEEE Visualization Conference, VIS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	151-155
Number of pages	5
ISBN (Electronic)	9781728180144
DOIs	https://doi.org/10.1109/VIS47514.2020.00037
Publication status	Published - Oct 2020
Event	2020 IEEE Visualization Conference, VIS 2020 - Virtual, Salt Lake City, United States Duration: 25 Oct 2020 → 30 Oct 2020

Publication series

Name	Proceedings - 2020 IEEE Visualization Conference, VIS 2020

Conference

Conference	2020 IEEE Visualization Conference, VIS 2020
Country/Territory	United States
City	Virtual, Salt Lake City
Period	25/10/20 → 30/10/20

Keywords

Human-centered computing
Visualization
Visualization theory
concepts and paradigms

Access to Document

10.1109/VIS47514.2020.00037

Cite this

Tang, J., Yu, L., Tang, T., Shu, X., Ying, L., Zhou, Y., Ren, P., & Wu, Y. (2020). Narrative Transitions in Data Videos. In Proceedings - 2020 IEEE Visualization Conference, VIS 2020 (pp. 151-155). Article 9331289 (Proceedings - 2020 IEEE Visualization Conference, VIS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VIS47514.2020.00037

@inproceedings{7c1247385caa48aab56efb427b2262c6,

title = "Narrative Transitions in Data Videos",

abstract = "Transitions are widely used in data videos to seamlessly connect data-driven charts or connect visualizations and non-data-driven motion graphics. To inform the transition designs in data videos, we conduct a content analysis based on more than 3500 clips extracted from 284 data videos. We annotate visualization types and transition designs on these segments, and examine how these transitions help make connections between contexts. We propose a taxonomy of transitions in data videos, where two transition categories are defined in building fluent narratives by using visual variables.",

keywords = "Human-centered computing, Visualization, Visualization theory, concepts and paradigms",

author = "Junxiu Tang and Lingyun Yu and Tan Tang and Xinhuan Shu and Lu Ying and Yuhua Zhou and Peiran Ren and Yingcai Wu",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Visualization Conference, VIS 2020 ; Conference date: 25-10-2020 Through 30-10-2020",

year = "2020",

month = oct,

doi = "10.1109/VIS47514.2020.00037",

language = "English",

series = "Proceedings - 2020 IEEE Visualization Conference, VIS 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "151--155",

booktitle = "Proceedings - 2020 IEEE Visualization Conference, VIS 2020",

}

Tang, J, Yu, L, Tang, T, Shu, X, Ying, L, Zhou, Y, Ren, P & Wu, Y 2020, Narrative Transitions in Data Videos. in Proceedings - 2020 IEEE Visualization Conference, VIS 2020., 9331289, Proceedings - 2020 IEEE Visualization Conference, VIS 2020, Institute of Electrical and Electronics Engineers Inc., pp. 151-155, 2020 IEEE Visualization Conference, VIS 2020, Virtual, Salt Lake City, United States, 25/10/20. https://doi.org/10.1109/VIS47514.2020.00037

Narrative Transitions in Data Videos. / Tang, Junxiu; Yu, Lingyun; Tang, Tan et al.
Proceedings - 2020 IEEE Visualization Conference, VIS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 151-155 9331289 (Proceedings - 2020 IEEE Visualization Conference, VIS 2020).

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

TY - GEN

T1 - Narrative Transitions in Data Videos

AU - Tang, Junxiu

AU - Yu, Lingyun

AU - Tang, Tan

AU - Shu, Xinhuan

AU - Ying, Lu

AU - Zhou, Yuhua

AU - Ren, Peiran

AU - Wu, Yingcai

PY - 2020/10

Y1 - 2020/10

N2 - Transitions are widely used in data videos to seamlessly connect data-driven charts or connect visualizations and non-data-driven motion graphics. To inform the transition designs in data videos, we conduct a content analysis based on more than 3500 clips extracted from 284 data videos. We annotate visualization types and transition designs on these segments, and examine how these transitions help make connections between contexts. We propose a taxonomy of transitions in data videos, where two transition categories are defined in building fluent narratives by using visual variables.

AB - Transitions are widely used in data videos to seamlessly connect data-driven charts or connect visualizations and non-data-driven motion graphics. To inform the transition designs in data videos, we conduct a content analysis based on more than 3500 clips extracted from 284 data videos. We annotate visualization types and transition designs on these segments, and examine how these transitions help make connections between contexts. We propose a taxonomy of transitions in data videos, where two transition categories are defined in building fluent narratives by using visual variables.

KW - Human-centered computing

KW - Visualization

KW - Visualization theory

KW - concepts and paradigms

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DO - 10.1109/VIS47514.2020.00037

M3 - Conference Proceeding

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T3 - Proceedings - 2020 IEEE Visualization Conference, VIS 2020

SP - 151

EP - 155

BT - Proceedings - 2020 IEEE Visualization Conference, VIS 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2020 IEEE Visualization Conference, VIS 2020

Y2 - 25 October 2020 through 30 October 2020

ER -

Narrative Transitions in Data Videos

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Interaction Techniques for Visual Storytelling

Cite this

Narrative Transitions in Data Videos

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Projects

Interaction Techniques for Visual Storytelling

Cite this