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Different levels of 3D: An evaluation of visualized discrete spatiotemporal data in space-time cubes
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media, Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media, Human-Computer Interaction.
2010 (English)In: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 9, no 2, 152-164 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2010. Vol. 9, no 2, 152-164 p.
National Category
Computer Vision and Robotics (Autonomous Systems) Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-97388DOI: 10.1057/ivs.2009.8ISI: 000277756200005OAI: oai:DiVA.org:uu-97388DiVA: diva2:172320
Available from: 2008-08-21 Created: 2008-08-21 Last updated: 2011-02-28Bibliographically approved
In thesis
1. Visualizing Dynamics –The Perception of Spatiotemporal Data in 2D and 3D
Open this publication in new window or tab >>Visualizing Dynamics –The Perception of Spatiotemporal Data in 2D and 3D
2008 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In many command and control situations the understanding of dynamic events is crucial. With today’s development of hard- and software architecture, we have the possibility to visualize data in two-dimensional (2D) and three-dimensional (3D) images. The aim of this thesis is therefore to investigate different approaches to visualizing dynamic events. The visualization techniques investigated include 2D animation and time representations as markings on a 2D map. In 3D the visualization technique investigated is the “space time-cube” A further aim is to study whether the Cue Probability Learning (CPL) paradigm can be used to evaluate visualizations.

By mapping time onto a spatial dimension, in the 2D visualization as lines with different densities and in 3D as height over the map, a simultaneous visualization of space and time is possible. The findings are that this mapping of time onto space is beneficial to users as compared with animations, but the two mapping techniques are not interchangeable. If a task requires judgments of metric spatial properties, a 2D visualization is more beneficial; however, if the task only requires judgments of more qualitative aspects, a 3D visualization is more beneficial.

When we look at a 3D visualization, we utilize different sources of depth information. These sources are always present and each defines either a 3D scene or a projection surface. By using these different sources of depth information wisely, a visualization can be created that efficiently shows relevant information to a user while requiring a minimal amount of specialized hardware.

Finally, the CPL paradigm seems to be a worthwhile option as an experimental paradigm in visualization experiments. One of the advantages of CPL is that novice users can be trained to be task experts in a controlled and time-efficient way.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2008. 81 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Social Sciences, ISSN 1652-9030 ; 42
Keyword
Människa-dator-interaktion, Human-Computer Interaction, Information Visualization, Usability, 2D, 3D, Cue Probability Learning, Space-time Cub, Människa-dator-interaktion
Identifiers
urn:nbn:se:uu:diva-9142 (URN)978-91-554-7247-4 (ISBN)
Public defence
2008-09-12, Hörsal 2, Ekonomikum, Kyrkogårdsgatan 10, Uppsala, 13:15
Opponent
Supervisors
Available from: 2008-08-21 Created: 2008-08-21 Last updated: 2011-01-13Bibliographically approved

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Kjellin, AndreasWinkler Pettersson, LarsSeipel, StefanLind, Mats

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