VAID: Indexing View Designs in Visual Analytics System-Reference-Cited by-同舟云学术

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VAID: Indexing View Designs in Visual Analytics System

Published:2024-05-11 Issue: Volume: Page:1-15
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
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Author:

Ying Lu¹^ORCID,Wu Aoyu²^ORCID,Li Haotian³^ORCID,Deng Zikun⁴^ORCID,Lan Ji⁵^ORCID,Wu Jiang¹^ORCID,Wang Yong⁶^ORCID,Qu Huamin³^ORCID,Deng Dazhen⁷^ORCID,Wu Yingcai¹^ORCID

Affiliation:

1. State Key Lab of CAD&CG, Zhejiang University, China

2. Harvard University, United States

3. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, China

4. School of Software Engineering, South China University of Technology, China

5. AIFT, Hong Kong

6. School of Computing and Information Systems, Singapore Management University, Singapore

7. School of Software Technology, Zhejiang University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642237

Reference72 articles.

1. R. Amar, J. Eagan, and J. Stasko. 2005. Low-Level Components of Analytic Activity in Information Visualization. In Proceedings of IEEE Symposium on Information Visualization. 111–117.

2. Beagle

3. Reflections on how designers design with data

4. Rita Borgo, Johannes Kehrer, David HS Chung, Eamonn Maguire, Robert S Laramee, Helwig Hauser, Matthew Ward, and Min Chen. 2013. Glyph-Based Visualization: Foundations, Design Guidelines, Techniques and Applications.. In Proceedings of Eurographics Conference on Visualization (State of the Art Reports). 39–63.

5. What Makes a Visualization Memorable?

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