Eye fixations and diagrammatic reasoning

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Abstract

In this tutorial, the attendees will gain an understanding of the main methods of measuring eye fixations on diagrams and how these data are coded and analyzed to make inferences about internal cognitive processes. This will enable attendees to better interpret and critically evaluate the results of studies that use this measure. It will also give them an introduction to the advantages of using eye fixation data and the effort involved in setting up an eye-tracking laboratory and analyzing eye fixation data. The tutorial will also identify problems in the analysis and interpretation of eye fixations that might lead to the development of new software tools for analyzing and interpreting this type of data. © Springer-Verlag Berlin Heidelberg 2006.

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Hegarty, M. (2006). Eye fixations and diagrammatic reasoning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4045 LNAI, pp. 13–15). Springer Verlag. https://doi.org/10.1007/11783183_3

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