Novel Method to Measure Inference Affordance in Static Small-Multiple Map Displays Representing Dynamic Processes

Authors: Irina Fabrikant, Sara; Rebich-Hespanha, Stacy; Andrienko, Natalia; Andrienko, Gennady; Montello, Daniel R.

Source: Cartographic Journal, The, Volume 45, Number 3, August 2008 , pp. 201-215(15)

Publisher: Maney Publishing

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Abstract:

Supported by eye-movement data collected during a controlled experiment on small-multiple map displays, a new concept coined inference affordance aimed at overcoming drawbacks of traditional empirical 'success' measures when evaluating static visual analytics displays and interactive visual analytics tools is proposed. Then, a novel visual analytics research methodology is outlined to quantify inference affordance, taking advantage of the well-known sequence alignment analyses techniques borrowed from bioinformatics. The presented visual analytics approach focuses on information reduction of large amounts of fine-grained eye-movement sequence data, including sequence categorisation and summarisation.

Document Type: Research article

DOI: 10.1179/000870408X311396

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