GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements

Wenchao LI; Zhan Wang; Yun Wang; Di Weng; Liwenhan XIE; Siming Chen; Haidong Zhang; Huamin Qu

doi:10.1145/3544548.3581470

GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements

Wenchao LI, Zhan Wang, Yun Wang^*, Di Weng, Liwenhan XIE, Siming Chen^*, Haidong Zhang, Huamin Qu

^*Corresponding author for this work

Department of Computer Science and Engineering

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

20 Citations (Scopus)

Abstract

In geographic data videos, camera movements are frequently used and combined to present information from multiple perspectives. However, creating and editing camera movements requires significant time and professional skills. This work aims to lower the barrier of crafting diverse camera movements for geographic data videos. First, we analyze a corpus of 66 geographic data videos and derive a design space of camera movements with a dimension for geospatial targets and one for narrative purposes. Based on the design space, we propose a set of adaptive camera shots and further develop an interactive tool called GeoCamera. This interactive tool allows users to flexibly design camera movements for geographic visualizations. We verify the expressiveness of our tool through case studies and evaluate its usability with a user study. The participants find that the tool facilitates the design of camera movements.

Original language	English
Title of host publication	CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450394215
DOIs	https://doi.org/10.1145/3544548.3581470
Publication status	Published - 19 Apr 2023
Event	2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany Duration: 23 Apr 2023 → 28 Apr 2023

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference	2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Country/Territory	Germany
City	Hamburg
Period	23/04/23 → 28/04/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Keywords

Visual storytelling
data video
geographic visualization
authoring tools

Access to Document

10.1145/3544548.3581470Licence: Unspecified

Cite this

LI, W., Wang, Z., Wang, Y., Weng, D., XIE, L., Chen, S., Zhang, H., & Qu, H. (2023). GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements. In CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems Article 170 (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3544548.3581470

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title = "GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements",

abstract = "In geographic data videos, camera movements are frequently used and combined to present information from multiple perspectives. However, creating and editing camera movements requires significant time and professional skills. This work aims to lower the barrier of crafting diverse camera movements for geographic data videos. First, we analyze a corpus of 66 geographic data videos and derive a design space of camera movements with a dimension for geospatial targets and one for narrative purposes. Based on the design space, we propose a set of adaptive camera shots and further develop an interactive tool called GeoCamera. This interactive tool allows users to flexibly design camera movements for geographic visualizations. We verify the expressiveness of our tool through case studies and evaluate its usability with a user study. The participants find that the tool facilitates the design of camera movements.",

keywords = "Visual storytelling, data video, geographic visualization, authoring tools",

author = "Wenchao LI and Zhan Wang and Yun Wang and Di Weng and Liwenhan XIE and Siming Chen and Haidong Zhang and Huamin Qu",

note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 ; Conference date: 23-04-2023 Through 28-04-2023",

year = "2023",

month = apr,

day = "19",

doi = "10.1145/3544548.3581470",

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LI, W, Wang, Z, Wang, Y, Weng, D, XIE, L, Chen, S, Zhang, H & Qu, H 2023, GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements. in CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems., 170, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023, Hamburg, Germany, 23/04/23. https://doi.org/10.1145/3544548.3581470

GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements. / LI, Wenchao; Wang, Zhan; Wang, Yun et al.
CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 2023. 170 (Conference on Human Factors in Computing Systems - Proceedings).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements

AU - LI, Wenchao

AU - Wang, Zhan

AU - Wang, Yun

AU - Weng, Di

AU - XIE, Liwenhan

AU - Chen, Siming

AU - Zhang, Haidong

AU - Qu, Huamin

PY - 2023/4/19

Y1 - 2023/4/19

N2 - In geographic data videos, camera movements are frequently used and combined to present information from multiple perspectives. However, creating and editing camera movements requires significant time and professional skills. This work aims to lower the barrier of crafting diverse camera movements for geographic data videos. First, we analyze a corpus of 66 geographic data videos and derive a design space of camera movements with a dimension for geospatial targets and one for narrative purposes. Based on the design space, we propose a set of adaptive camera shots and further develop an interactive tool called GeoCamera. This interactive tool allows users to flexibly design camera movements for geographic visualizations. We verify the expressiveness of our tool through case studies and evaluate its usability with a user study. The participants find that the tool facilitates the design of camera movements.

AB - In geographic data videos, camera movements are frequently used and combined to present information from multiple perspectives. However, creating and editing camera movements requires significant time and professional skills. This work aims to lower the barrier of crafting diverse camera movements for geographic data videos. First, we analyze a corpus of 66 geographic data videos and derive a design space of camera movements with a dimension for geospatial targets and one for narrative purposes. Based on the design space, we propose a set of adaptive camera shots and further develop an interactive tool called GeoCamera. This interactive tool allows users to flexibly design camera movements for geographic visualizations. We verify the expressiveness of our tool through case studies and evaluate its usability with a user study. The participants find that the tool facilitates the design of camera movements.

KW - Visual storytelling

KW - data video

KW - geographic visualization

KW - authoring tools

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M3 - Conference Paper published in a book

T3 - Conference on Human Factors in Computing Systems - Proceedings

BT - CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery

T2 - 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023

Y2 - 23 April 2023 through 28 April 2023

ER -

GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Visual Analytics for Smart Manufacturing in Supply Chain

Cite this

GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Visual Analytics for Smart Manufacturing in Supply Chain

Cite this