Abstract
My emphasis in this paper is on floor control in multiparty discourse: the approach is psycholinguistic. This perspective includes turn management, turn exchange and coordination; how to recognize the dominant speaker even when he or she is not speaking, and a theory of all this. The data to be examined comprise a multimodal depiction of a 5-party meeting (a US Air Force war gaming session) and derive from a project carried out jointly with my engineering colleagues, Francis Quek and Mary Harper. See the Chen et al. paper in this volume for details of the recoding session.
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Chen, L., Rose, R.T., Qiao, Y., Kimbara, I., Parrill, F., Welji, H., Han, T.X., Tu, J., Huang, Z., Harper, M.P., Quek, F., Xiong, Y., McNeill, D., Tuttle, R., Huang, T.: VACE multimodal meeting corpus. In: Renals, S., Bengio, S. (eds.) MLMI 2005. LNCS, vol. 3869, pp. 40–51. Springer, Heidelberg (2006)
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McNeill, D. (2006). Gesture, Gaze, and Ground. In: Renals, S., Bengio, S. (eds) Machine Learning for Multimodal Interaction. MLMI 2005. Lecture Notes in Computer Science, vol 3869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11677482_1
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DOI: https://doi.org/10.1007/11677482_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32549-9
Online ISBN: 978-3-540-32550-5
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