DocumentCode :
2280088
Title :
An open concept metric for assessing dialog system complexity
Author :
DuBois, Thomas M. ; Rudnicky, Alexander I.
Author_Institution :
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2001
fDate :
2001
Firstpage :
264
Lastpage :
267
Abstract :
Techniques for assessing dialog system performance commonly focus on characteristics of the interaction, using metrics such as completion, satisfaction or time on task. However, such metrics are not always capable of differentiating systems that operate on fundamentally different principles, particularly when tested on tasks that focus on common-denominator capabilities. We introduce a new metric, the open concept count, and show how it can be used to capture useful system properties of a dialog system.
Keywords :
interactive systems; natural language interfaces; speech recognition; speech-based user interfaces; common-denominator capabilities; dialog system complexity; open concept count; open concept metric; performance; Cities and towns; Computer science; Equations; History; Particle measurements; Performance analysis; Problem-solving; System performance; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Speech Recognition and Understanding, 2001. ASRU '01. IEEE Workshop on
Print_ISBN :
0-7803-7343-X
Type :
conf
DOI :
10.1109/ASRU.2001.1034638
Filename :
1034638
Link To Document :
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