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dc.contributor.authorLowe, Ric
dc.contributor.authorBoucheix, J.
dc.contributor.authorMenant, M.
dc.date.accessioned2018-08-08T04:42:41Z
dc.date.available2018-08-08T04:42:41Z
dc.date.created2018-08-08T03:50:39Z
dc.date.issued2018
dc.identifier.citationLowe, R. and Boucheix, J. and Menant, M. 2018. Perceptual processing and the comprehension of relational information in dynamic diagrams, pp. 470-483.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/69883
dc.identifier.doi10.1007/978-3-319-91376-6_42
dc.description.abstract

© Springer International Publishing AG, part of Springer Nature 2018. To date, research on the processing involved in comprehending and learning from animated diagrams has accorded a minor role only to perceptual operations in general and peripheral processing in particular. For those aspects where the role of perception is acknowledged, it is foveal rather than peripheral processing that is regarded as the main player. In this paper, we use the results from additional finer grained analysis of data collected in a recent empirical study to suggest that information from a viewer’s peripheral field can play a much more central role in animation processing than has previously been recognized. It appears that if the dynamic information comprising an animated diagram is presented in a suitable way, the resources available for visual perception can be partitioned so that responsibility is shared efficiently between foveal and peripheral processing. Implications with regard to elaboration of the Animation Processing Model and possible interventions for improving animation processing are discussed.

dc.titlePerceptual processing and the comprehension of relational information in dynamic diagrams
dc.typeConference Paper
dcterms.source.volume10871 LNAI
dcterms.source.startPage470
dcterms.source.endPage483
dcterms.source.titleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dcterms.source.seriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dcterms.source.isbn9783319913759
curtin.departmentSchool of Education
curtin.accessStatusFulltext not available


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