Document Type

Conference Paper


Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence


Computer Sciences, Information Science

Publication Details

In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019), pages 225-232 ISBN: 978-989-758-354-4


General-purpose visualization tools are used by people with varying degrees of data literacy. Often the user is not a professional analyst or data scientist and uses the tool infrequently, to support an aspect of their job. This can present difficulties as the user’s unfamiliarity with visualization practice and infrequent use of the tool can result in long processing time, inaccurate data representations or inappropriate visual encodings. To address this problem, we developed a visual analytics application called exploroBOT. The exploroBOT automatically generates visualizations and the exploration guidance path (an associated network of decision points, mapping nodes where visualizations change). These combined approaches enable users to explore visualizations based on a degree of “interestingness”. The user-driven approach draws on the browse/explore metaphor commonly applied in social media applications and is supported by guided navigation. In this paper we describe exploroBOT and present an evaluation of the tool.



Centre for Applied Data Analytics Research (CeADAR) and co-funded by Enterprise Ireland (EI) and the International Development Agency (IDA) in Ireland

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