Problem-Sensitive Response Generation in Human-Robot Dialogs
نویسندگان
چکیده
We develop a new mechanism to detect and respond to miscommunications in human-robot dialogs, distinguishing between computer misunderstandings vs. human inexperience. Problem indicators drive an error/help state machine, which augments the dialog state and is used in tailoring response generation. A user study shows that the task success rate and user satisfaction is improved substantially by the two-part miscommunication model.
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