Toward a view coordination methodology for collaborative shared large-display environments

Yu Liu; Paul Craig

doi:10.1007/978-3-030-00560-3_41

Toward a view coordination methodology for collaborative shared large-display environments

Yu Liu, Paul Craig

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

2 Citations (Scopus)

Abstract

Allowing multiple users to explore data together on the same large display has great potential to help people to work together and solve problems in a more effective and amiable manner. This paper looks at how we can coordinate views between multiple users on a large-display for a simple collaborative task. We compare split-screen and shared-screen methods in order to develop a better understanding of the relative advantages and disadvantages of these methods and outline a new view coordination method that could combine the advantages of both.

Original language	English
Title of host publication	Cooperative Design, Visualization, and Engineering - 15th International Conference, CDVE 2018, Proceedings
Editors	Yuhua Luo
Place of Publication	Cham
Publisher	Springer Verlag
Pages	291-294
Number of pages	4
ISBN (Electronic)	978-3-030-00560-3
ISBN (Print)	9783030005597
DOIs	https://doi.org/10.1007/978-3-030-00560-3_41
Publication status	Published - 2018
Event	15th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2018 - Hangzhou, China Duration: 21 Oct 2018 → 24 Oct 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11151 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2018
Country/Territory	China
City	Hangzhou
Period	21/10/18 → 24/10/18

Keywords

Collaborative visualization
Information visualization

Access to Document

10.1007/978-3-030-00560-3_41

Cite this

Liu, Y., & Craig, P. (2018). Toward a view coordination methodology for collaborative shared large-display environments. In Y. Luo (Ed.), Cooperative Design, Visualization, and Engineering - 15th International Conference, CDVE 2018, Proceedings (pp. 291-294). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11151 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-00560-3_41

Liu, Yu ; Craig, Paul. / Toward a view coordination methodology for collaborative shared large-display environments. Cooperative Design, Visualization, and Engineering - 15th International Conference, CDVE 2018, Proceedings. editor / Yuhua Luo. Cham : Springer Verlag, 2018. pp. 291-294 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Allowing multiple users to explore data together on the same large display has great potential to help people to work together and solve problems in a more effective and amiable manner. This paper looks at how we can coordinate views between multiple users on a large-display for a simple collaborative task. We compare split-screen and shared-screen methods in order to develop a better understanding of the relative advantages and disadvantages of these methods and outline a new view coordination method that could combine the advantages of both.",

keywords = "Collaborative visualization, Information visualization",

author = "Yu Liu and Paul Craig",

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Liu, Y & Craig, P 2018, Toward a view coordination methodology for collaborative shared large-display environments. in Y Luo (ed.), Cooperative Design, Visualization, and Engineering - 15th International Conference, CDVE 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11151 LNCS, Springer Verlag, Cham, pp. 291-294, 15th International Conference on Cooperative Design, Visualization, and Engineering, CDVE 2018, Hangzhou, China, 21/10/18. https://doi.org/10.1007/978-3-030-00560-3_41

Toward a view coordination methodology for collaborative shared large-display environments. / Liu, Yu ; Craig, Paul.
Cooperative Design, Visualization, and Engineering - 15th International Conference, CDVE 2018, Proceedings. ed. / Yuhua Luo. Cham: Springer Verlag, 2018. p. 291-294 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11151 LNCS).

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

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AB - Allowing multiple users to explore data together on the same large display has great potential to help people to work together and solve problems in a more effective and amiable manner. This paper looks at how we can coordinate views between multiple users on a large-display for a simple collaborative task. We compare split-screen and shared-screen methods in order to develop a better understanding of the relative advantages and disadvantages of these methods and outline a new view coordination method that could combine the advantages of both.

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Liu Y , Craig P. Toward a view coordination methodology for collaborative shared large-display environments. In Luo Y, editor, Cooperative Design, Visualization, and Engineering - 15th International Conference, CDVE 2018, Proceedings. Cham: Springer Verlag. 2018. p. 291-294. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-00560-3_41

Toward a view coordination methodology for collaborative shared large-display environments

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