The Effect of Task Characteristics on the Availability Heuristic for Judgments under Uncertainty.

Abstract

The present study sought to generalize the effect of the availability heuristic to more complex tasks and across various task categories. The experimental design involved the manipulation of event characteristics in order to induce a heuristic processing strategy for designated available events. The effect of these manipulations was investigated for three types of response measures and across a range of event frequencies. Results demonstrated the generalizability of the availability heuristic across complex tasks and three types of response measures--frequency estimation, probability estimation, and choice predictions. The availability of an event in memory produced an overestimation of the frequency and probability of event occurrences. Similarly, choice predictions judged available events as more likely to occur. However, this effect was not consistent across all levels of assigned event frequencies. The present study extended the generalizability of the availability heuristic to more complex tasks and provided an exploratory step toward defining the degree to which basic findings hold across a range of task characteristics.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 1983
Accession Number
ADA130178

Entities

People

  • Gail Fontenelle

Organizations

  • Rice University

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Applied Psychology
  • Behavioral Sciences
  • Cognition
  • Data Science
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Jet Propulsion
  • Judgment
  • Military Research
  • Motor Skills
  • Navy
  • Probability
  • Psychology
  • Statistical Analysis
  • Systems Engineering

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation
  • Operations Research