Manipulatable Models for Investigating Processing of Dynamic Diagrams
Identifieur interne : 000B70 ( Istex/Corpus ); précédent : 000B69; suivant : 000B71Manipulatable Models for Investigating Processing of Dynamic Diagrams
Auteurs : Richard Lowe ; Jean-Michel BoucheixSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
English descriptors
- KwdEn :
- Acrylic sheet, Analogue models, Animated cradle diagram, Animated depiction, Animated diagram, Animated diagrams, Animated kangaroo locomotion diagram, Animation, Animation display speed, Available information, Berlin heidelberg, Better knowledge structures, Better process data, Better understanding, Better ways, Biological content, Body parts, Cambridge handbook, Cambridge university press, Clear analysis, Cognitive processes, Cognitive processing, Complex animations, Complex content, Component parts, Cradle diagrams, Cradle dynamics, Curtin university, Deeper insights, Diagram, Diagram components offer, Diagram processing, Different aspects, Different domains, Different types, Direct indication, Direct mapping, Dynamic aspects, Dynamic content, Dynamic diagrams, Dynamic diagrams richard lowe1, Dynamic inference, Earli conference, Educational researchers, Essential prerequisites, Experimental participant, External representation, Fish body part, Fixation patterns, Foveal fixations, Further study, Generative processing, Human diagram comprehension, Human information processing, Human processing, Human viewer, Impoverished indication, Inaccessible aspects, Indirect goel, Information viewers internalize, Inherent limitations, Internal representations, Limited effectiveness, Limited sample, Locomotion patterns, Locomotion process, Lowe, Manipulatable, Manipulatable models, Mental model, Mental simulation, Model manipulation, Other approaches, Other types, Parsimonious fashion, Participant, Participant demonstrations, Participants study, People process, People process diagrams, Perceptibility information, Physical model, Physical sense, Piano parts, Picture comprehension, Process data, Processing challenges, Processing data, Referent subject matter, Representational format, Research paper, Research participants, Rigid components, Rigid parts, Similar character, Simple animations, Simplified plastic model, Small coins, Specific body parts, Static diagrams, Stimulus diagram, Stimulus materials, Structural characteristics, Subject matter dynamics, Subtle changes, Such data, Such representations, Tail section, Technology education, Temporal changes, Temporal detail, Temporal details, Temporal manipulation, Textual output, Time course, Track ball, Traditional piano mechanism, Useful findings, Useful research data, Verbal measures, Viewer extraction, Visual resemblance, Visuospatial characteristics, World conference.
- Teeft :
- Acrylic sheet, Analogue models, Animated cradle diagram, Animated depiction, Animated diagram, Animated diagrams, Animated kangaroo locomotion diagram, Animation, Animation display speed, Available information, Berlin heidelberg, Better knowledge structures, Better process data, Better understanding, Better ways, Biological content, Body parts, Cambridge handbook, Cambridge university press, Clear analysis, Cognitive processes, Cognitive processing, Complex animations, Complex content, Component parts, Cradle diagrams, Cradle dynamics, Curtin university, Deeper insights, Diagram, Diagram components offer, Diagram processing, Different aspects, Different domains, Different types, Direct indication, Direct mapping, Dynamic aspects, Dynamic content, Dynamic diagrams, Dynamic diagrams richard lowe1, Dynamic inference, Earli conference, Educational researchers, Essential prerequisites, Experimental participant, External representation, Fish body part, Fixation patterns, Foveal fixations, Further study, Generative processing, Human diagram comprehension, Human information processing, Human processing, Human viewer, Impoverished indication, Inaccessible aspects, Indirect goel, Information viewers internalize, Inherent limitations, Internal representations, Limited effectiveness, Limited sample, Locomotion patterns, Locomotion process, Lowe, Manipulatable, Manipulatable models, Mental model, Mental simulation, Model manipulation, Other approaches, Other types, Parsimonious fashion, Participant, Participant demonstrations, Participants study, People process, People process diagrams, Perceptibility information, Physical model, Physical sense, Piano parts, Picture comprehension, Process data, Processing challenges, Processing data, Referent subject matter, Representational format, Research paper, Research participants, Rigid components, Rigid parts, Similar character, Simple animations, Simplified plastic model, Small coins, Specific body parts, Static diagrams, Stimulus diagram, Stimulus materials, Structural characteristics, Subject matter dynamics, Subtle changes, Such data, Such representations, Tail section, Technology education, Temporal changes, Temporal detail, Temporal details, Temporal manipulation, Textual output, Time course, Track ball, Traditional piano mechanism, Useful findings, Useful research data, Verbal measures, Viewer extraction, Visual resemblance, Visuospatial characteristics, World conference.
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
Links to Exploration step
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<front><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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<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.</abstract>
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<ChapterTitle Language="En"> Manipulatable Models for Investigating Processing of Dynamic Diagrams</ChapterTitle>
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<Para>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.</Para>
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<abstract 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.</abstract>
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<name type="personal"><namePart type="given">Ashok</namePart>
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