Attention, intentions, and the structure of discourse
Computational Linguistics
Discourse segmentation by human and automated means
Computational Linguistics
Investigating cue selection and placement in tutorial discourse
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
A prosodic analysis of discourse segments in direction-giving monologues
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
IEEE Pervasive Computing
Conventions in human-human multi-threaded dialogues: a preliminary study
Proceedings of the 10th international conference on Intelligent user interfaces
Multi-tasking and collaborative activities in dialogue systems
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
Context restoration in multi-tasking dialogue
Proceedings of the 14th international conference on Intelligent user interfaces
Initiative conflicts in task-oriented dialogue
Computer Speech and Language
An investigation of interruptions and resumptions in multi-tasking dialogues
Computational Linguistics
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In this paper we describe an empirical study of human-human multi-tasking dialogues (MTD), where people perform multiple verbal tasks overlapped in time. We examined how conversants switch from the ongoing task to a real-time task. We found that 1) conversants use discourse markers and prosodic cues to signal task switching, similar to how they signal topic shifts in single-tasking speech; 2) conversants strive to switch tasks at a less disruptive place; and 3) where they cannot, they exert additional effort (even higher pitch) to signal the task switching. Our machine learning experiment also shows that task switching can be reliably recognized using discourse context and normalized pitch. These findings will provide guidelines for building future speech interfaces to support multi-tasking dialogue.