Automatic Speech Recognition in Air Traffic Control : a Human Factors Perspective
- Author
- Karlsson, Joakim
- Published
- Dec 1, 1990.
- Physical Description
- 1 electronic document
Online Version
- hdl.handle.net , Connect to this object online.
- Restrictions on Access
- Unclassified, Unlimited, Publicly available.
Free-to-read Unrestricted online access - Summary
- The introduction of Automatic Speech Recognition (ASR) technology into the Air Traffic Control (ATC) system has the potential to improve overall safety and efficiency. However, because ASR technology is inherently a part of the man-machine interface between the user and the system, the human factors issues involved must be addressed. Here, some of the human factors problems are identified and related methods of investigation are presented. Research at M.I.T.'s Flight Transportation Laboratory is being conducted from a human factors perspective, focusing on intelligent parser design, presentation of feedback, error correction strategy design, and optimal choice of input modalities.
- Other Subject(s)
- Collection
- NASA Technical Reports Server (NTRS) Collection.
- Note
- Document ID: 19910009712.
Accession ID: 91N19025.
NASA, Langley Research Center, Joint University Program for Air Transportation Research, 1989-1990; p 9-13. - Terms of Use and Reproduction
- No Copyright.
View MARC record | catkey: 15424976