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An Integrated Measure of Display Clutter Based on Feature Content, User Knowledge and Attention Allocation Factors



Details

  • Personal Author:
  • Description:
    Existing measures of display clutter in the literature generally exhibit weak correlations with task performance, which limits their utility in safety-critical domains. A literature review led to formulation of an integrated display data- and user knowledge-driven measure of display clutter. A driving simulation experiment was conducted in which participants were asked to search 'high' and 'low' clutter displays for navigation information. Data-driven measures and subjective perceptions of clutter were collected along with patterns of visual attention allocation and driving performance responses during time periods in which participants searched the navigation display for information. The new integrated measure was more strongly correlated with driving performance than other, previously-developed measures of clutter, particularly in the case of low-clutter displays. Integrating display data and user knowledge factors with patterns of visual attention allocation shows promise for measuring display clutter and correlation with task performance, particularly for low-clutter displays. Practitioner Summary: A novel measure of display clutter was formulated, accounting for display data content, user knowledge-states and patterns of visual attention allocation. The measure was evaluated in terms of correlations with driver performance in a safety-critical driving simulation study. The measure exhibited stronger correlations with task performance than previously defined measures. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISSN:
    0014-0139
  • Document Type:
    Text
  • Funding:
    Grant
  • Genre:
    Journal Article
  • Place as Subject:
  • CIO:
    National Institute for Occupational Safety and Health (NIOSH)
  • Topic:
    Workplace Safety & Health
  • Location:
    North America
  • Volume:
    61
  • Issue:
    5
  • NIOSHTIC Number:
    nn:20050600
  • Citation:
    Ergonomics 2018 May; 61(5):682-696
  • Contact Point Address:
    David Kaber, Department of Industrial & Systems Engineering, North Carolina State University, 400 Daniels Hall, Raleigh, NC 27695-7906
  • Email:
    dbkaber@ncsu.edu
  • Federal Fiscal Year:
    2018
  • Performing Organization:
    University of North Carolina, Chapel Hill
  • Peer Reviewed:
    True
  • Start Date:
    20050701
  • Source Full Name:
    Ergonomics
  • End Date:
    20270630
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:d81f775b55be2937c4f26f18b4fe48f59ce666aed5c28bde5442460c2b19b27a67c74fb59c5e95813be432a7ddd4e3fcebcf5c1001a701e7e9fd02f2f47022b1
  • Download URL:
  • File Type:
    Filetype[PDF - 3.73 MB ]
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