Accession Number:

ADA270730

Title:

Human-Machine Interfaces

Descriptive Note:

Final rept. 1 Mar 90-31 Jul 93,

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE RESEARCH LAB OF ELECTRONICS

Personal Author(s):

Report Date:

1993-07-31

Pagination or Media Count:

26.0

Abstract:

The normal human auditory system suffers from many deficiencies in its ability to localize sound sources in space. Not only is it generally poor at determining the elevation and distance of a sound source, but in certain cases it is relatively poor at determining the azimuth of the source. The research discussed in this report is concerned with the development and evaluation of systems that result in improved localization, i.e., in supernormal auditory localization, by altering the localization cues that are available to the listener. Although such enhanced performance should be of value in essentially all systems that make use of auditory localization for conveying information to the human user, the application area of primary interest in this proposal is that of human-machine interfaces for teleoperator and virtual systems. In general, localization performance can be summarized in terms of 1 resolution and 2 response bias. Resolution refers to the ability to detect small changes in the spatial position of a sound source and to separate out multiple sources located at different positions, as well as to the amount of information transfer that can be achieved in the identification of source position. Response bias refers to the average differences between perceived source position as measured by the mean of the listeners objective responses and the actual source position.

Subject Categories:

  • Anatomy and Physiology
  • Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE