Causal Uncertainty in the Identification of Environmental Sounds

Abstract

This report is of an investigation into: (1) whether the recognition of an isolated environmental sound depends upon the number of different events that could cause the sound: (2) a method of quantifying the number of causal events; and (3) the cognitive processes that mediate the effect of multiple causation. Research in the past has focused on the acoustics of the sound in an attempt to determine which features the listener uses in recognition. However, it is well known that recognition is influenced by expectations, particularly about the number of alternatives. Three experiments on the effect of alternative causes are reported. The results of the first experiment replicated earlier results that the Hick-Hyman law applies to environmental sound identification and demonstrated the reliability of a measure of causal uncertainty. The measure is not a signal property in the usual sense. However, by reflecting the number of alternatives an individual considers in making a recognition judgment, it is a feature of a sound that is related to important aspects of recognition performance. The second experiment provided evidence toward the validity or this measure. Keywords: Auditory recognition; Auditory transients; Isolated sounds; Auditory sequences.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1986
Accession Number
ADA175228

Entities

People

  • J. A. Ballas
  • M. J. Sliwinski

Organizations

  • Georgetown University

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Signals
  • Acoustics
  • Air Force
  • Applied Psychology
  • Biological Sciences
  • Cognition
  • Engineering
  • Frequency
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Information Theory
  • Military Research
  • Perception
  • Psychology
  • Reaction Time
  • Waveforms

Readers

  • Computational Modeling and Simulation
  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design