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E3: Towards the metrication of graphical presentation techniques for large data sets

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Human-Computer Interaction (EWHCI 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 753))

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Abstract

Rapid advances in communications and computer technologies in recent years have provided users with greater access to large volumes of data from computer-based information systems. Whilst researchers have developed many novel techniques to overcome the problems associated with the presentation and navigation of large data sets on a limited display surface, the choice of a technique in a particular application remains very subjective. This paper proposes an evaluation framework E3 which aims to provide a basis for the comparison of different presentation techniques, given the nature and characteristics of the data to be presented, and the interpretation required. E3 focuses on three aspects of graphical data presentation: expressiveness, efficiency, and effectiveness. This framework lays the foundation for the development of a set of metrics to facilitate an objective assessment of presentation techniques.

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Author information

Authors and Affiliations

  1. Centre for Systems Methodologies Department of Computer Science, Swinburne University of Technology, 3122, Victoria, Australia

    Ying K. Leung

  2. School of Mathematical and Information Sciences, Massey University, Palmerston North, New Zealand

    Mark D. Apperley

Authors
  1. Ying K. Leung
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  2. Mark D. Apperley
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Editor information

Leonard J. Bass Juri Gornostaev Claus Unger

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© 1993 Springer-Verlag Berlin Heidelberg

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Leung, Y.K., Apperley, M.D. (1993). E3: Towards the metrication of graphical presentation techniques for large data sets. In: Bass, L.J., Gornostaev, J., Unger, C. (eds) Human-Computer Interaction. EWHCI 1993. Lecture Notes in Computer Science, vol 753. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57433-6_44

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  • DOI: https://doi.org/10.1007/3-540-57433-6_44

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57433-0

  • Online ISBN: 978-3-540-48152-2

  • eBook Packages: Springer Book Archive

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