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Understanding Static and Dynamic Visualizations

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Diagrammatic Representation and Inference (Diagrams 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2317))

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Abstract

Data from expert forecasters making weather reports (using the talk aloud method) were coded for dynamic comments as well as whether the visualization itself was static or dynamic. Preliminary results strongly suggest that meteorologists build dynamic mental models from static images.

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References

  1. BETRANCOURT, M. & TVERSKY, B. (2000). Effect of computer animation on users’ performance: A review. Travail Humain, 63(4), 311–329.

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  2. ERICSSON, K. A. & SIMON, H. A. (1993). Protocol Analysis: Verbal reports as data. (Revised edition). Cambridge MA: MIT Press.

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  3. HEGARTY, M. & SIMS, V. K. (1994). Individual differences in mental animation during mechanical reasoning. Memory & Cognition, 22 (4), 411–430.

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  4. LOWE, R. K. (1999). Extracting information from an animation during complex visual learning. European Journal of Psychology of Education, 14(2), 225–244.

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  5. TRAFTON, J.G., KIRSCHENBAUM, S. S., TSUI, T. L., MIYAMOTO, R. T., BALLAS, J. A.. & RAYMOND, P. D. (2000). Turning pictures into numbers: extracting and generating information from complex visualizations. International Journal of Human-Computer Studies, 53 (5), 827–850.

    Article  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Naval Research Laboratory, Code 5513, 20375-5337, Washington DC, USA

    Sally Bogacz & J. Gregory Trafton

Authors
  1. Sally Bogacz
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  2. J. Gregory Trafton
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Editor information

Editors and Affiliations

  1. University of California, 93106, Santa Barbara, CA, USA

    Mary Hegarty

  2. School of Computer Science and Software Engineering, Monash University, Clayton Campus, Wellington Road, 3800, Victoria, Australia

    Bernd Meyer

  3. Department of Computer Science and Software Engineering, Auburn University, 107 Dunstan Hall, 36849, Auburn, AL, USA

    N. Hari Narayanan

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© 2002 Springer-Verlag Berlin Heidelberg

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Bogacz, S., Trafton, J.G. (2002). Understanding Static and Dynamic Visualizations. In: Hegarty, M., Meyer, B., Narayanan, N.H. (eds) Diagrammatic Representation and Inference. Diagrams 2002. Lecture Notes in Computer Science(), vol 2317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46037-3_35

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  • DOI: https://doi.org/10.1007/3-540-46037-3_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43561-7

  • Online ISBN: 978-3-540-46037-4

  • eBook Packages: Springer Book Archive

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