Arjun, S and Reddy, GSR and Mukhopadhyay, A and Vinod, S and Biswas, P (2021) Evaluating Visual Variables in a Virtual Reality Environment. In: 34th British Human Computer Interaction Conference Interaction Conference, 19-21 Jul 2021, Virtual, Online, pp. 133-138.
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Abstract
Large amount of multi-dimensional data can be difficult to visualize in standard 2D display. Virtual Reality and the associated 3rd dimension may be useful for data analysis; however, 3D charts may often be confusing to users rather conveying information. This paper investigated and evaluated graphical primitives of 3D charts in a Virtual Reality (VR) environment. We compared six different 3D graphs involving two graph types and five visual variables. We analysed ocular and EEG parameters of users while they undertook representative data interpretation tasks using 3D graphs. Our analysis found significant differences in fixation rate, alpha and low-beta EEG bands among different graphs and a bar chart using different sizes of columns for different data values found to be preferred among users in terms of correct response. We also found that colour makes it easier to interpret nominal data as compared to shape and size variable reduces the time required for processing numerical data as compared to orientation or opacity. Our results can be used to develop 3D sensor dashboard and visualization techniques for VR environments. © Arjun et al. Published by BCS Learning and Development Ltd.
| Item Type: | Conference Paper |
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| Publication: | 34th British Human Computer Interaction Conference Interaction Conference, BCS HCI 2021 |
| Publisher: | BCS Learning and Development Ltd. |
| Additional Information: | The copyright for this article belongs to Authors |
| Keywords: | Data handling; Data visualization; Eye tracking; Three dimensional computer graphics; Virtual reality, 3d graphs; Cognitive loads; Evaluation; Eye-tracking; Graphical primitives; Large amounts; Multidimensional data; Two-graphs; Virtual-reality environment; Visual variables, Visualization |
| Department/Centre: | Division of Mechanical Sciences > Centre for Product Design & Manufacturing |
| Date Deposited: | 21 Feb 2022 12:06 |
| Last Modified: | 21 Feb 2022 12:06 |
| URI: | http://eprints.iisc.ac.in/id/eprint/71415 |
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