Exploring the effects of colouring graph diagrams on people of various backgrounds

Plimmer, Beryl and Morrison, Ann and Knoche, Hendrik (2014) Exploring the effects of colouring graph diagrams on people of various backgrounds. In: 8th International Conference on Theory and Application of Diagrams: Diagrammatic Representation and Inference (Diagrams 2014), 28 July - 1 Aug 2014, Melbourne, Australia.

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Abstract

Colour is one of the primary aesthetic elements of a visualization. It is often used successfully to encode information such as the importance of a particular part of the diagram or the relationship between two parts. Even so, there are few investigations into the human reading of colour coding on diagrams from the scientific community. In this paper we report on an experiment with graph diagrams comparing a black and white composition with two other colour treatments. We drew our subjects from engineering, art, visual design, physical education, tourism, psychology and social science disciplines. We found that colouring the nodes of interest reduced the time taken to find the shortest path between the two nodes for all subjects. Engineers, tourism and social scientists proved significantly faster with artist/designers just below the overall average speed. From this study, we contribute that adding particular colour treatments to diagrams increases legibility. In addition, preliminary work investigating colour treatments and schemes indicates potential for future gains. © 2014 Springer-Verlag.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Accepted version deposited, in accordance with the copyright policy of the publisher.
Faculty / Department / School: No Faculty
Date Deposited: 05 Jul 2017 04:47
Last Modified: 04 Dec 2017 01:50
Uncontrolled Keywords: colour encoding of diagrams; graph diagram aesthetics; subjects disciplines' effects
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080602 Computer-Human Interaction
Identification Number or DOI: 10.1007/978-3-662-44043-8_20
URI: http://eprints.usq.edu.au/id/eprint/31321

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