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Spoken dialogue interfaces, mostly command-and-control, become more visible in applications where attention needs to be shared with other tasks, such as driving a car. The deployment of the simple dialog systems, instead of more sophisticated ones, is partly because the computing platforms used for such tasks have been less powerful and partly because certain issues from these cognitively challenging tasks have not been well addressed even in the most advanced dialog systems. This paper reports the progress of our research effort in developing a robust, wide-coverage, and cognitive load-sensitive spoken dialog interface called CHAT: Conversational Helper for Automotive Tasks. Our research in the past few years has led to promising results, including high task completion rate, dialog efficiency, and improved user experience. Index Terms: dialog systems, cognitive load, robustness
Weng et al. (Sun,) studied this question.
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