Learning about meetings
Name
Rudin_Learning about meetings.pdf
Size
793.47 KB
Format
Adobe PDF
Checksum (MD5)
33e250676b7acdc2046541752bf452ec
Author(s)
Kim, Been
Rudin, Cynthia
Date Issued
February 2014
Journal
Data Mining and Knowledge Discovery
Publisher
Springer
Citation
Kim, Been, and Cynthia Rudin. “Learning About Meetings.” Data Min Knowl Disc (February 9, 2014).
Version
Author's final manuscript
Abstract
Most people participate in meetings almost every day, multiple times a day. The study of meetings is important, but also challenging, as it requires an understanding of social signals and complex interpersonal dynamics. Our aim in this work is to use a data-driven approach to the science of meetings. We provide tentative evidence that: (i) it is possible to automatically detect when during the meeting a key decision is taking place, from analyzing only the local dialogue acts, (ii) there are common patterns in the way social dialogue acts are interspersed throughout a meeting, (iii) at the time key decisions are made, the amount of time left in the meeting can be predicted from the amount of time that has passed, (iv) it is often possible to predict whether a proposal during a meeting will be accepted or rejected based entirely on the language (the set of persuasive words) used by the speaker.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Sloan School of Management
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1007/s10618-014-0348-z
