Study of Multiple View Layout Strategies in Visualisation
Research output: Contribution to conference › Poster › peer-review
Electronic versions
Documents
- Study_of_Multiple_View_Layout_StrategiesAlmaneeaRoberts
Accepted author manuscript, 11 MB, PDF document
Multiple views is a popular strategy in information visualisation,but for many years researchers have asked questions such as “howmany views and what layout strategies do people use?” Answer-ing these questions would help developers create suitable multiple-view systems, but to date there has been little research into thesequestions. In this short paper, we present initial results of a largerongoing study looking at how multiple-views are used. For thisstudy, we built a database of images containing screenshots of vi-sualisation tools from articles presented at IEEE VIS from 2012 to2017. We select suitable images across TVCG journal, conference,posters and workshop papers. We closely evaluate the layout of 340images of multiple-view systems and consider the layout topologyof each image. Our results show that in the past six years, develop-ers use on average (just over) four views.
Original language | English |
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Number of pages | 2 |
Publication status | Published - Oct 2018 |
Event | IEEE Conference on Visualization: InfoVis - Berlin, Germany Duration: 21 Oct 2018 → 26 Oct 2018 http://ieeevis.org/year/2018/welcome |
Conference
Conference | IEEE Conference on Visualization |
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Abbreviated title | IEEE VIS |
Country/Territory | Germany |
City | Berlin |
Period | 21/10/18 → 26/10/18 |
Internet address |
Research outputs (12)
- Published
One view is not enough: review of and encouragement for multiple and alternative representations in 3D and immersive visualisation
Research output: Contribution to journal › Article › peer-review
- Published
3D visualisations Should Not be Displayed Alone – Encouraging a Need for Multivocality in Visualisation
Research output: Contribution to conference › Paper › peer-review
- Published
Composition and Configuration Patterns in Multiple-View Visualizations
Research output: Contribution to journal › Article › peer-review
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