Al-Megren, S and Ruddle, RA (2016) Comparing Tangible and Multi-touch Interaction for Interactive Data Visualization Tasks. In: Proceedings of the TEI '16. 10th International Conference on Tangible, Embedded and Embodied Interaction, 14-17 Feb 2016, Eindhoven, Netherlands. ACM , pp. 279-286. ISBN 978-1-4503-3582-9
Abstract
Interactive visualization plays a key role in the analysis of large datasets. It can help users to explore data, investigate hypotheses and find patterns. The easier and more tangible the interaction, the more likely it is to enhance understanding. This paper presents a tabletop Tangible User Interface (TUI) for interactive data visualization and offers two main contributions. First, we highlight the functional requirements for a data visualization interface and present a tabletop TUI that combines tangible objects with multi-touch interaction. Second, we compare the performance of the tabletop TUI and a multi-touch interface. The results show that participants found patterns faster with the TUI. This was due to the fact that they adopted a more effective strategy using the tabletop TUI than the multi-touch interface.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction, 2016 http://doi.acm.org/10.1145/2839462.2839464. |
Keywords: | Tangible User Interface; tabletop display; visualization; tangible interaction; biological data; multi-touch |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Nov 2015 10:50 |
Last Modified: | 16 Jan 2018 08:40 |
Published Version: | http://dx.doi.org/10.1145/2839462.2839464 |
Status: | Published |
Publisher: | ACM |
Identification Number: | 10.1145/2839462.2839464 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:92246 |