A Meta-Taxonomy for Diagram Research

Blackwell, Alan F.; Engelhardt, Yuri

doi:10.1007/978-1-4471-0109-3_3

Cited by 30 publications

(14 citation statements)

References 19 publications

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“…Diagrams are a crucial tool to support critical thinking, problem solving, decision-making, and communication [2,6,11]. Larkin claims that diagrams externalize the relationships between knowledge and information, and therefore help to organize pieces of information, build perceptual inferences, and construct ideas [11].…”

Section: Related Workmentioning

confidence: 99%

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Sketching and Drawing in the Design of Open Source Software

Chung

Jensen

Yatani

et al. 2010

2010 IEEE Symposium on Visual Languages and Human-Centric Computing

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Section: Related Workmentioning

confidence: 99%

“…Blackwell lists some desirable properties of diagrams: encouraging novice programmers, promoting learning processes, and supporting communication [2]. Hahn and Kim state that diagrams have been extensively used in evaluation and analysis of system design, and for developing system behaviors [9].…”

Section: Related Workmentioning

confidence: 99%

Sketching and Drawing in the Design of Open Source Software

Chung

Jensen

Yatani

et al. 2010

2010 IEEE Symposium on Visual Languages and Human-Centric Computing

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show abstract

“…Other authors have likewise included various forms of representations like tables, graphs, and illustrations of varying levels of abstraction in their conceptualization of diagrams (e.g. Blackwell & Engelhardt, 2002;Cox & Grawemeyer, 2003;Grawemeyer & Cox, 2004;Hegarty, Carpenter, & Just, 1991;Novick & Hurley, 2001). Hegarty et al, for example, used the categories of iconic, schematic, and charts and graphs to classify scientific diagrams.…”

Section: Resultsmentioning

confidence: 99%

Task‐Related Factors that Influence the Spontaneous Use of Diagrams in Math Word Problems

Uesaka

Manalo

2011

Applied Cognitive Psychology

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Diagrams are effective tools for problem solving. However, previous findings indicate that students generally do not use diagrams spontaneously. This study examined task-related factors that may influence the spontaneity of diagram use. Experiment 1 compared two possible explanations: the first, that the length-relatedness of the story context of the problem (i.e. whether it involves the measurement of length) determines the likelihood of diagram use; and the second, that the cognitive cost of transforming the situation described in the word problem to an abstract diagrammatic representation is the more important factor. Four math word problems, differing in their story context and structure, were administered to eighth-grade Japanese students (n=125) to solve. The results provide support for the cognitive transformation cost explanation. The results of experiment 2, in which the problems were administered to students in both Japan (n=291) and New Zealand (n=323), confirm this finding.

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“…There have been numerous attempts at classifying images [Blackwell andEngelhardt 1999, Duke et al 2004], based on data types and tasks [Wehrend and Lewis 1990, Yu and Behrens 1995, Shneiderman 1996, Zhou and Feiner 1998, Wenzel et al 2003, Tory and T. 2004, visualization algorithms and models [Tory andT. 2004, Chi 2000], visual elements [Bertin 1983], mappings between data and visual elements [Mackinlay 1986, Rogowitz and Treinish 1993, Zhang 1996, Zhou et al 2002b, Zhou et al 2002a, as well as subject sorting of conventional methods of presentation [Lohse et al 1990].…”

Section: A Taxonomy Of Images Based On Composition Of Graphical mentioning

confidence: 99%

Data-Visual Relationships to Subject Performance and Eye Movements

Klein¹

2016

RIO

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Executive summaryVisual communication is ubiquitous, commanding our attention and commandeering our inattention. The presentation of information can take myriad visual forms, such as bar charts, scatter plots, network diagrams, and tables. These information graphics are attempts to map potentially large amounts of complex data to easily navigable visual form for rapid and accurate knowledge transfer. However, there is not yet a satisfactory formal methodology for selecting the most appropriate visualization method for a given set of data.A data taxonomy and novel visual taxonomy will be used to select visual stimuli from a database of acquired and newly generated information graphics. Oculomotor responses (eye tracking data) and task-based responses (mouse clicks or keyboard input) are recorded; performance on the latter is used to establish an expert subgroup. These results will be used to satisfy the three primary objectives of the proposed research, determining:how the choice of data visualization impacts oculomotor behavior and task performance, 2.if this behavior is discriminable between experts and novices, and 3.an empirically-based taxonomy of visualization based on the results of 1 and 2. Intellectual merit of the proposed activityThe proposed research will create a novel taxonomy for and database of acquired and generated information graphics as well as an associated web application to search, ‡

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A Meta-Taxonomy for Diagram Research

Cited by 30 publications

References 19 publications

Sketching and Drawing in the Design of Open Source Software

Sketching and Drawing in the Design of Open Source Software

Task‐Related Factors that Influence the Spontaneous Use of Diagrams in Math Word Problems

Data-Visual Relationships to Subject Performance and Eye Movements

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