Accession Number : ADA329865

Title :   TRAINS-96 System Evaluation.

Descriptive Note : Technical rept.,

Corporate Author : ROCHESTER UNIV NY DEPT OF COMPUTER SCIENCE

Personal Author(s) : Stent, Amanda J. ; Allen, James F.

PDF Url : ADA329865

Report Date : 19 MAR 1997

Pagination or Media Count : 42

Abstract : In this report we describe an experiment designed to: (1) evaluate the performance of the TRAINS-96 system as a whole; (2) examine the utility of a new robust post-parser module, recently added to the TRAINS system, and (3) explore the benefit to the user of receiving system feedback on speech input. The evaluation uses the same task-based methodology as was used for the TRAINS-95 evaluation, in which the user and computer cooperatively solve a given problem. Success is measured in terms of task performance measures such as time to completion of a task, and the quality of the final plan produced.

Descriptors :   *SPEECH RECOGNITION, *ARTIFICIAL INTELLIGENCE, *MAN COMPUTER INTERFACE, ALGORITHMS, SIGNAL PROCESSING, SYSTEMS ANALYSIS, NATURAL LANGUAGE.

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE