An Investigation of a Human Information Processing Model for Decision Making.

Abstract

This research examined information overload in decision makers by means of a human information processing model developed by Schroder, Driver, and Streufert. That model provided that the ability of an individual to integrate data into a decision varied in a curvilinear fashion with the complexity of the information environment. Information processing capacity was hypothesized to increase up to a certain optimum level and then decrease, marking the onset of information overload. A policy capturing exercise was employed to measure the amount of information processed for three different levels of information availability. Subjects were given sets of four, six, or eight national problem areas along with hypothetical priorities that the federal government was said to attach to those problems. The subjects indicated their levels of agreement or disagreement with each set of priorities. Regression analysis was then used to discover how many of the available problem areas contributed significantly to the three sets of decisions. The information utilization patterns were compared to the predictions of the model.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1978
Accession Number
ADA065912

Entities

People

  • David R. Unger

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Data Analysis
  • Education
  • Engineering
  • Experimental Design
  • Factorial Design
  • Information Overload
  • Information Processing
  • Information Science
  • Information Systems
  • Personality
  • Psychology
  • Regression Analysis
  • Surveys

Readers

  • Regression Analysis.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.