The affordance of virtual reality to enable the sensory representation of multi-dimensional data for immersive analytics: from experience to insight

Moloney, J, Spehar, B, Globa, A and Wang, R 2018, 'The affordance of virtual reality to enable the sensory representation of multi-dimensional data for immersive analytics: from experience to insight', Journal of Big Data, vol. 5, no. 53, pp. 1-19.


Document type: Journal Article
Collection: Journal Articles

Title The affordance of virtual reality to enable the sensory representation of multi-dimensional data for immersive analytics: from experience to insight
Author(s) Moloney, J
Spehar, B
Globa, A
Wang, R
Year 2018
Journal name Journal of Big Data
Volume number 5
Issue number 53
Start page 1
End page 19
Total pages 19
Publisher SpringerOpen
Abstract Using the theory of afordance from perceptual psychology and through discussion of literature within visual data mining and immersive analytics, a position for the multisensory representation of big data using virtual reality (VR) is developed. While it would seem counter intuitive, information-dense virtual environments are theoretically easier to process than simplifed graphic encoding-if there is alignment with human ecological perception of natural environments. Potentially, VR afords insight into patterns and anomalies through dynamic experience of data representations within interactive, kinaesthetic audio-visual virtual environments. To this end we articulate principles that can inform the development of VR applications for immersive analytics: a mimetic approach to data mapping that aligns spatial, aural and kinaesthetic attributes with abstractions of natural environments; layered with constructed features that complement natural structures; the use of cross-modal sensory mapping; a focus on intermediate levels of contrast; and the adaptation of naturally occurring distribution patterns for the granularity and distribution of data. While it appears problematic to directly translate visual data mining techniques to VR, the ecological approach to human perception discussed in this article provides a new framework for big data visualization researchers to consider
Subject Digital and Interaction Design
Keyword(s) Virtual reality
Afordance
Big data
Multisensory representation
Human interaction
Copyright notice © The Author(s) 2018.
ISSN 2196-1115
Versions
Version Filter Type
Access Statistics: 17 Abstract Views  -  Detailed Statistics
Created: Thu, 21 Feb 2019, 12:10:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us