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International Conference on Cooperative Design, Visualization and Engineering

CDVE 2021: Cooperative Design, Visualization, and Engineering pp 32–43Cite as

Animated Transitions for Multi-user Shared Large Displays

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12983))

Abstract

This study looks at the optimal duration for animated transitions between different views selected by different users operating a shared information visualization interface on a large display. In collaborative environments with a shared large screen both users are able to interact with the interface with users tending to alternate between the role of active-user and observer. This can cause problems if view updates are observed by users that do not trigger the updates themselves. These inactive users are more easily disoriented and confused by changes in the display that they themselves did not initiate. In order to reduce this sense of disorientation, animation can be used to smooth the transition between views. This study looks at the effect of different shared screen sizes on the optimal transition time. The results showed the best time for a shared large screen and a shared normal PC are both around 1000 ms. This is significantly longer than the best time on a single-user device which is in the range of 300 ms.

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Acknowledgements

This project is supported by Key Program Special Fund XJTLU project KSF-E-10 and XJTLU Research Development Fund project RDF-14-03-22.

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Authors and Affiliations

  1. Xi’an Jiao-tong Liverpool University, Suzhou, China

    Yu Liu, Paul Craig & Fabiola Polidoro

  2. Liverpool University, Liverpool, UK

    Yu Liu, Paul Craig & Fabiola Polidoro

Authors
  1. Yu Liu
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  2. Paul Craig
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  3. Fabiola Polidoro
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Corresponding author

Correspondence to Yu Liu .

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Editors and Affiliations

  1. University of the Balearic Islands, Palma, Mallorca, Spain

    Yuhua Luo

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Liu, Y., Craig, P., Polidoro, F. (2021). Animated Transitions for Multi-user Shared Large Displays. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2021. Lecture Notes in Computer Science(), vol 12983. Springer, Cham. https://doi.org/10.1007/978-3-030-88207-5_4

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  • DOI: https://doi.org/10.1007/978-3-030-88207-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88206-8

  • Online ISBN: 978-3-030-88207-5

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