Abstract
Group productivity can vary between and within meetings, and here we consider the case of productivity shifting within meetings. We divide a meeting into intervals and measure the productivity of each interval using the number of summary-worthy sentences contained therein. We evaluate the relationship between productivity and a variety of linguistic and structural features, using correlation and regression analysis. We then attempt to identify the point at which productivity shifts in meetings, using Bayesian changepoint analysis.
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Murray, G. (2015). Analyzing Productivity Shifts in Meetings. In: Barbosa, D., Milios, E. (eds) Advances in Artificial Intelligence. Canadian AI 2015. Lecture Notes in Computer Science(), vol 9091. Springer, Cham. https://doi.org/10.1007/978-3-319-18356-5_13
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DOI: https://doi.org/10.1007/978-3-319-18356-5_13
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