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Proceedings Paper

Applied research in auditory data representation
Author(s): Steve P. Frysinger
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Paper Abstract

A class of data displays, characterized generally as Auditory Data Representation, is described and motivated. This type of data representation takes advantage of the tremendous pattern recognition capability of the human auditory channel. Audible displays offer an alternative means of conveying quantitative data to the analyst to facilitate information extraction, and are successfully used alone and in conjunction with visual displays. The Auditory Data Representation literature is reviewed, along with elements of the allied fields of investigation, Psychoacoustics and Musical Perception. A methodology for applied research in this field, based upon the well-developed discipline of psychophysics, is elaborated using a recent experiment as a case study. This method permits objective estimation of a data representation technique by comparing it to alternative displays for the pattern recognition task at hand. The psychophysical threshold of signal to noise level, for constant pattern recognition performance, is the measure of display effectiveness.

Paper Details

Date Published: 1 August 1990
PDF: 10 pages
Proc. SPIE 1259, Extracting Meaning from Complex Data: Processing, Display, Interaction, (1 August 1990); doi: 10.1117/12.19979
Show Author Affiliations
Steve P. Frysinger, AT&T Bell Labs. (United States)


Published in SPIE Proceedings Vol. 1259:
Extracting Meaning from Complex Data: Processing, Display, Interaction
Edward J. Farrell, Editor(s)

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