Using Shape for Uncertainty Representation in Multivariate Visualization

This research project focuses on using variations in shape to represent different levels of uncertainty. It investigates whether people associate more complex shapes with higher levels of uncertainty, and whether shape can be an effective channel to encode uncertainty or other variables alongside visual channels such as colour and size. To do this, special sets of shapes are identified which have a perceived order - this is not a universal feature of shape, unlike size for instance, so the project aims to determine what features may enable this. It will also investigate whether these types of visualizations are suitable for decision making under uncertainty, and how they compare to other methods.

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Project team

Lucy Mclaughlin (PhD student), Newcastle University L.Mclaughlin3@newcastle.ac.uk

Prof Nick Holliman (external supervisor), King's College, London nicolas.holliman@kcl.ac.uk

Dr Sara Johansson Fernstad (main supervisor), Newcastle University sara.fernstad@newcastle.ac.uk

Dr Huizhi Liang (co-supervisor), Newcastle University Huizhi.Liang@newcastle.ac.uk

Last modified: Fri, 21 Apr 2023 16:44:49 BST