Title :
An artificially intelligent-human interface for test/diagnosis
Author :
Kirkland, Larry V.
Author_Institution :
OO-ALC/TISA, Hill AFB, UT, USA
Abstract :
The author discusses artificial intelligence (AI) applications for the human interface of the test/diagnosis environment. The human interface can contain speech recognition, understanding, and response and visual perception of the test environment. The areas of focus for the human interface are described. The intelligent diagnostic functions available at the human interface provide complete automated test/diagnostic data entry and evaluation to the human. The human interface of the AI system is a multimedia environment. The integrated AI system promises to facilitate ease in long term support. This is accomplished by moving the information domain into a user-oriented configuration. What specifically happened to a unit when it failed will determine the repair action. Expert know-how will reside in a usable knowledge sharing domain. Arbitrary testing-diagnosing philosophies will no longer exist. Only the part(s) which is defective will be tested and repaired.<>
Keywords :
artificial intelligence; automatic test equipment; computer vision; knowledge based systems; speech recognition; user interfaces; AI; artificially intelligent-human interface; hypermedia; knowledge sharing domain; multimedia environment; repair; response; speech recognition; test/diagnosis; understanding; user-oriented configuration; visual perception; Artificial intelligence; Computer displays; Computer vision; Fault diagnosis; Frequency measurement; Humans; Intelligent robots; Sequential analysis; Speech; System testing;
Conference_Titel :
AUTOTESTCON '92. IEEE Systems Readiness Technology Conference, Conference Record
Conference_Location :
Dayton, OH, USA
Print_ISBN :
0-7803-0643-0
DOI :
10.1109/AUTEST.1992.270092
