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A methodology for diagnostic evaluation of spoken human — machine dialogue

✍ Scribed by LAILA DYBKJÆR; NIELS OLE BERNSEN; HANS DYBKJÆR


Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
283 KB
Volume
48
Category
Article
ISSN
1071-5819

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✦ Synopsis


Diagnostic evaluation is an important instrument for the development of high-quality spoken language dialogue systems. Yet no rigorous methodology exists for the systematic and exhaustive diagnostic evaluation of all aspects of spoken language interaction: recognition, synthesis, grammar, vocabulary, dialogue, etc. The paper addresses part of this problem by presenting a methodology for the diagnostic evaluation of spoken human-machine dialogue. The first part of the methodology is general and supports the detection of any kind of user-system interaction problem. The second part concerns the classification, diagnosis and repair of problems of dialogue interaction. These problems are of two broad kinds: dialogue design errors and user errors. Use of the methodology is demonstrated through analysis of a corpus from the user test of the Danish Dialogue System.


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