The Attribute Explorer is a visualization tool in which the graphical and interactive presentation of data supports the human acquisition of insight into that data. The underlying concept employed is that of interactive linked histograms. The advantage of the Attribute Explorer derives from its ability to support both qualitative exploration and quantitative design decisions, as well as a smooth transition between these two activities.

This paper seeks to characterize the space of techniques that exist for interactive externalisations (visualizations).A selection of visualizations are classified with respect to: the types of data represented, the nature of the visible feedback displayed and the forms of interactivity used.Such characterization provides a method for evaluating potential designs and comparing different tools.

Article Free Access Share on Externalising abstract mathematical models Authors: Lisa Tweedie Department of Electrical Engineering, Imperial College of Science, Technology and Medicine, South Kensington, London, SW7 2BT Department of Electrical Engineering, Imperial College of Science, Technology and Medicine, South Kensington, London, SW7 2BTView Profile , Robert Spence Department of Electrical Engineering, Imperial College of Science, Technology and Medicine, South Kensington, London, SW7 2BT Department of Electrical Engineering, Imperial College of Science, Technology and Medicine, South Kensington, London, SW7 2BTView Profile , Huw Dawkes Department of Electrical Engineering, Imperial College of Science, Technology and Medicine, South Kensington, London, SW7 2BT Department of Electrical Engineering, Imperial College of Science, Technology and Medicine, South Kensington, London, SW7 2BTView Profile , Hus Su Department of Electrical Engineering, Imperial College of Science, Technology and Medicine, South Kensington, London, SW7 2BT Department of Electrical Engineering, Imperial College of Science, Technology and Medicine, South Kensington, London, SW7 2BTView Profile Authors Info & Claims CHI '96: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsApril 1996 Pages 406–ff.https://doi.org/10.1145/238386.238587Published:13 April 1996Publication History 66citation909DownloadsMetricsTotal Citations66Total Downloads909Last 12 Months107Last 6 weeks16 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteView all FormatsPDF