Dialogue Patterns and Misunderstandings
September 2003
John Aberdeen, The MITRE Corporation
Lisa Ferro, The MITRE Corporation
ABSTRACT
Disruptive errors are common in many human-computer (HC) dialogues. We
manually applied initiative and dialogue act annotations to HC
dialogues in the travel domain in an effort to find patterns that are
predictive of misunderstandings. While we found some interesting
patterns of dialogue acts, we also found that a detailed understanding
of the misunderstandings in our data required us to perform more
in-depth analysis than is possible just by examining dialogue acts. Our
hope is that analyses such as these will inform the design of HC
dialogue systems, so that systems may predict problematic situations in
order to deal with them more effectively.
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Additional Search Keywords
Human-Computer Dialogue, Misunderstandings, Error Recovery, Annotation,
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