Cognitive Effort and Decision Making Strategies: A Componential Analysis of Choice.

Abstract

We examine the effort required to execute decision strategies, and propose a set of elementary information processes (EIP's) (e.g., reads, additions, comparisons) as a common language for describing these strategies. Based upon these component processes, a model for measuring the effort required to execute a decision strategy is proposed. The model suggests that effort is a weighted sum of EIP's. We test this model and several alternatives by attempting to predict 1) decision latencies, 2) subjective reports of effort, and 3) choice errors. The proposed EIP model provides good predictions and outperforms competing models for response time and subjective effort. Estimates of the time and effort associated with each EIP seem plausible and consistent with those found in other cognitive tasks. On balance, the EIP approach to conceptualizing and measuring the effort of executing a choice strategy receives strong support.

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Document Details

Document Type
Technical Report
Publication Date
Jul 31, 1986
Accession Number
ADA171068

Entities

People

  • Eric J. Johnson
  • James R. Bettman
  • John W. Payne

Organizations

  • Duke University

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Applied Psychology
  • Biomedical Research
  • Cognition
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Commerce
  • Computer Science
  • Human Factors Engineering
  • Industrial Engineering
  • Information Processing
  • Information Science
  • Military Research
  • Psychology
  • Systems Engineering
  • Warfare

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.