A Comparison of Homogeneous and Heterogeneous Display Formats in Information Integration and Nonintegration Tasks.

Abstract

The multiple resources model states that dual-task performance improves if the component tasks are made minimally similar with respect to the mental resources the demand. The lesser the overlap between stimulus modality, central processing, and response modality resources, the lesser the predicted interference between concurrent tasks. Although the model has generally received support from dual-task experiments, it has not been known whether it generalizes to task environments requiring the combination or integration of information sources prior to response. Here two experiments made use of three tasks varying in terms of integration demands, and presented via four visual display formates for numeric information, presumably varying in the homogeneity of resource demands. These results conceptually replicate previous findings in showing that dual-task environments benefit from the use of nonoverlapping (heterogeneous) resources, presumably because they allow for greater noninterfering parallel processing. Yet when information integration is required, this is no longer true; under certain conditions, benefit is obtained when the information sources to be integrated use overlapping (homogeneous) resources. It appears that the design of optimal displays in applied settings must take into account the degree to which information is to be integrated or responded to separately.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1983
Accession Number
ADA136693

Entities

People

  • C. D. Wickens
  • D. B. Boles

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Behavioral Sciences
  • Biological Sciences
  • Cognition
  • Combinatorial Analysis
  • Computers
  • Contrast
  • Engineering
  • Error Analysis
  • Human Factors Engineering
  • Judgment
  • Military Research
  • Parallel Computing
  • Parallel Processing
  • Psychology
  • Reaction Time
  • Task Performance And Analysis

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Distributed Systems and Data Platform Development
  • Parallel and Distributed Computing.