Ruddle, RA, Thomas, RG, Randell, RS et al. (2 more authors) (2015) Performance and interaction behaviour during visual search on large, high-resolution displays. Information Visualization, 14 (2). 137 - 147. ISSN 1473-8716
Abstract
Large, high-resolution displays (LHRDs) allow orders of magnitude more data to be visualized at a time than ordinary computer displays. Previous research is inconclusive about the circumstances under which LHRDs are beneficial and lacks behavioural data to explain inconsistencies in the findings. We conducted an experiment in which participants searched maps for densely or sparsely distributed targets, using 2 million pixel (0.4m × 0.3m), 12 million pixel (1.3m × 0.7m) and 54 million pixel displays (3.0m × 1.3m). Display resolution did not affect the speed at which dense targets were found, but participants found sparse targets in easily identifiable regions of interest 30% faster with the 54-million pixel display than with the other displays. This was because of the speed advantage conferred by physical navigation and the fact that the whole dataset fitted onto the 54-million pixel display. Contrary to expectations, participants found targets at a similar speed and interacted in a similar manner (mostly short panning movements) with the 2- and 12-million pixel displays even though the latter provided more opportunity for physical navigation, though this may have been because panning used velocity-based control. We are applying these findings to the design of a virtual microscope for the diagnosis of diseases such as cancer.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | (c) 2013, The Author(s). This is an author produced version of a paper published in Information Visualization. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Large high-resolution displays, gigapixel images, interaction behaviour, physical navigation, visual search, histopathology |
Dates: |
|
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) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Healthcare (Leeds) > Nursing Adult (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 Sep 2015 08:40 |
Last Modified: | 16 Jan 2018 06:09 |
Published Version: | http://dx.doi.org/10.1177/1473871613500978 |
Status: | Published |
Publisher: | SAGE |
Identification Number: | 10.1177/1473871613500978 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:85118 |