Rooney, C and Ruddle, RA (2015) HiReD: a high-resolution multi-window visualisation environment for cluster-driven displays. In: EICS '15 Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems. 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 23-26 Jul 2015, Duisburg, Germany. Association for Computing Machinery , 2 - 11. ISBN 978-1-4503-3646-8
Abstract
High-resolution, wall-size displays often rely on bespoke software for performing interactive data visualisation, leading to interface designs with little or no consistency between displays. This makes adoption for novice users difficult when migrating from desktop environments. However, desktop interface techniques (such as task- and menu- bars) do not scale well and so cannot be relied on to drive the design of large display interfaces. In this paper we present HiReD, a multi-window environment for cluster-driven displays. As well as describing the technical details of the system, we also describe a suite of low-precision interface techniques that aim to provide a familiar desktop environment to the user while overcoming the scalability issues of high-resolution displays. We hope that these techniques, as well as the implementation of HiReD itself, can encourage good practice in the design and development of future interfaces for high-resolution, wall-size displays.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © ACM, 2015. 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 EICS '15 Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (23 Jul 2015) http://dx.doi.org/10.1145/2774225.2774850. |
Keywords: | Powerwall; multi-window environment; user interface; high-resolution; low-precision; H.5.2.; user interfaces; windowing systems |
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: | 05 Nov 2015 14:21 |
Last Modified: | 05 Nov 2015 15:15 |
Published Version: | http://dx.doi.org/10.1145/2774225.2774850 |
Status: | Published |
Publisher: | Association for Computing Machinery |
Identification Number: | 10.1145/2774225.2774850 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:91514 |