Interactive exploration of data with visual metaphors

Cybulski, Jacob, Keller, Susan and Saundage, Dilal 2015, Interactive exploration of data with visual metaphors, International journal of software engineering and knowledge engineering, vol. 25, no. 2, pp. 231-252, doi: 10.1142/S0218194015400082.

Attached Files
Name Description MIMEType Size Downloads

Title Interactive exploration of data with visual metaphors
Author(s) Cybulski, JacobORCID iD for Cybulski, Jacob
Keller, Susan
Saundage, DilalORCID iD for Saundage, Dilal
Journal name International journal of software engineering and knowledge engineering
Volume number 25
Issue number 2
Start page 231
End page 252
Total pages 22
Publisher World Scientific Publishing
Place of publication Singapore
Publication date 2015-03
ISSN 1793-6403
Keyword(s) Primary metaphors
Visual communication
Visual analytics
Summary Visual Analytics (VA) is an approach to data analysis by means of visual manipulation of data representation, which relies on innate human abilities of perception and cognition. Even though current visual toolkits in the Business Analytics (BA) domain have improved the effectiveness of data exploration, analysis and reporting, their features are often not intuitive, and can be confusing and difficult to use. Moreover, visualizations generated from these toolkits are mostly accessible to specialist users. Thus, there is a need for analytic environments that support data exploration, interpretation and communication of insight that do not add to the cognitive load of the analyst and their non-technical clients. In this conceptual paper, we explore the potential of primary metaphors, which arise out of human lived and sensory-motor experiences, in the design of immersive visual analytics environments. Primary metaphors provide ideas for representation of time, space, quantity, similarity, actions and team work. Using examples developed in our own work, we also explain how to combine such metaphors to create complex and cognitively acceptable visual metaphors, such as 3D data terrains that approximate our intuition of reality and create opportunities for data to be viewed, navigated, explored, touched, changed, discussed, reported and described to others, individually or collaboratively.
Language eng
DOI 10.1142/S0218194015400082
Field of Research 080109 Pattern Recognition and Data Mining
080111 Virtual Reality and Related Simulation
080605 Decision Support and Group Support Systems
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, World Scientific Publishing
Persistent URL

Document type: Journal Article
Collection: School of Information and Business Analytics
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 2 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 289 Abstract Views, 4 File Downloads  -  Detailed Statistics
Created: Mon, 30 Mar 2015, 15:38:15 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact