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Related Experiment Videos

Configural display design techniques considered at multiple levels of evaluation.

K B Bennett1, B Walters

  • 1Department of Psychology, Wright State University, Dayton, Ohio 45435, USA. kevin.bennett@wright.edu

Human Factors
|February 28, 2002
PubMed
Summary

Configural display design techniques significantly improve performance for data probes and system control tasks. A composite display integrating multiple techniques proved most effective for overall performance.

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Area of Science:

  • Human-Computer Interaction
  • Cognitive Systems Engineering
  • Information Visualization

Background:

  • Configural displays are crucial for complex data representation.
  • Effective design and evaluation methodologies for these displays are essential.
  • Previous research has explored various design elements in isolation.

Purpose of the Study:

  • To investigate the impact of four design techniques on configural display performance.
  • To evaluate display effectiveness across different task types (data probes vs. system control).
  • To assess the generalizability of evaluation findings.

Main Methods:

  • Four design techniques (bar graphs/extenders, scale markers/grids, color coding, digital values) were applied to a baseline configural display.

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  • Ten distinct display variations were created, including a composite display with all techniques.
  • Two evaluation methods assessed performance on low-level data probes and system control/fault detection tasks.

    • Main Results:

    • Three design techniques significantly enhanced performance on low-level data probes.
    • A display with only digital values performed worst on control/fault detection tasks.
    • The composite display, integrating all four techniques, demonstrated superior effectiveness across both evaluation levels.

    Conclusions:

    • Specific design techniques enhance configural display usability for different tasks.
    • A multi-technique composite display offers the most significant performance benefits.
    • Limited generalizability exists between different evaluation methodologies for display design.