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Manipulatable Models for Investigating Processing of Dynamic Diagrams

Identifieur interne : 007044 ( Main/Exploration ); précédent : 007043; suivant : 007045

Manipulatable Models for Investigating Processing of Dynamic Diagrams

Auteurs : Richard Lowe [Australie] ; Jean-Michel Boucheix [France]

Source :

RBID : ISTEX:3EC6BDA56E301B092F5892849CCDA567239F76A2

English descriptors

Abstract

Abstract: Existing approaches for collecting process data on human diagram comprehension have limited effectiveness. Analogue models that allow participants to manipulate diagram components offer powerful ways to capture the non-verbal and dynamic aspects of processing that are not available with some other approaches. Examples drawn from a variety of different domains illustrate the utility of model manipulation for revealing otherwise inaccessible aspects of how people process animated diagrams of complex content.

Url:
DOI: 10.1007/978-3-642-14600-8_41


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

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<term>Simple animations</term>
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<term>Such representations</term>
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<term>Temporal detail</term>
<term>Temporal details</term>
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<term>Time course</term>
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<term>Animated depiction</term>
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<term>Animated diagrams</term>
<term>Animated kangaroo locomotion diagram</term>
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<term>Animation display speed</term>
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<term>Better knowledge structures</term>
<term>Better process data</term>
<term>Better understanding</term>
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<term>Body parts</term>
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<term>Dynamic diagrams richard lowe1</term>
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<term>Earli conference</term>
<term>Educational researchers</term>
<term>Essential prerequisites</term>
<term>Experimental participant</term>
<term>External representation</term>
<term>Fish body part</term>
<term>Fixation patterns</term>
<term>Foveal fixations</term>
<term>Further study</term>
<term>Generative processing</term>
<term>Human diagram comprehension</term>
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<term>Perceptibility information</term>
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<term>Physical sense</term>
<term>Piano parts</term>
<term>Picture comprehension</term>
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<term>Representational format</term>
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<term>Research participants</term>
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<term>Rigid parts</term>
<term>Similar character</term>
<term>Simple animations</term>
<term>Simplified plastic model</term>
<term>Small coins</term>
<term>Specific body parts</term>
<term>Static diagrams</term>
<term>Stimulus diagram</term>
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<term>Subject matter dynamics</term>
<term>Subtle changes</term>
<term>Such data</term>
<term>Such representations</term>
<term>Tail section</term>
<term>Technology education</term>
<term>Temporal changes</term>
<term>Temporal detail</term>
<term>Temporal details</term>
<term>Temporal manipulation</term>
<term>Textual output</term>
<term>Time course</term>
<term>Track ball</term>
<term>Traditional piano mechanism</term>
<term>Useful findings</term>
<term>Useful research data</term>
<term>Verbal measures</term>
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<div type="abstract" xml:lang="en">Abstract: Existing approaches for collecting process data on human diagram comprehension have limited effectiveness. Analogue models that allow participants to manipulate diagram components offer powerful ways to capture the non-verbal and dynamic aspects of processing that are not available with some other approaches. Examples drawn from a variety of different domains illustrate the utility of model manipulation for revealing otherwise inaccessible aspects of how people process animated diagrams of complex content.</div>
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