Implicit Knowledge in the Identification of Environmental Sounds: Causal Uncertainty and Stereotype.

Abstract

Two aspects of listerner's implicit knowledge about environmental sound were investigated: multiple causality and stereotype. Several studies have demonstrated that the time required to identify an environmental is a function of the number of alternative causes, which defines causal uncertainty (CU). The procedure used to estimate causal uncertainty requires the collection and sorting of identification responses from a group of listeners. The number of unique responses is then used to calculate CU. Because the cognitive process implied by the role of CU assumes that listeners are informed about alternatives causes, it was hypothesized that they might be able to directly estimate the number of alternative causes. In the first experiment, listeners were asked to estimate the number of alternative causes for a sound. These estimates correlated significantly with previous estimates of CU and sound identification times obtained from different listeners. In a second experiment listeners were given anchors for the number of possible causes of the sounds based upon the estimates increased. These estimates correlated significantly with previous estimates of CU including estimates from the first experiment. Correlation of these estimates with identification time was significant but not different from the first experiment. Results from both experiments demonstrated the reliability of CU for specific sounds with changes in methods and listeners.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1987
Accession Number
ADA188403

Entities

People

  • James A. Ballas

Organizations

  • George Mason University

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Applied Psychology
  • Classification
  • Cognition
  • Computer Science
  • Computers
  • Engineering
  • Human Factors Engineering
  • Information Science
  • Military Research
  • New York
  • Production Engineering
  • Psychology
  • Reliability
  • Security
  • Students
  • Systems Engineering
  • United States

Fields of Study

  • Psychology

Readers

  • Military Engineering.
  • Regression Analysis.
  • Speech Processing/Speech Recognition.