Math @ Duke
|
Publications [#330662] of Cynthia D. Rudin
Papers Published
- Kim, B; Rudin, C, Machine learning for meeting analysis,
AAAI Workshop - Technical Report, vol. WS-13-17
(January, 2013),
pp. 59-61, ISBN 9781577356288
(last updated on 2024/04/24)
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 this work is to use a data-driven approach to the science of meetings. We provide tentative evidence that: i) there are common macro-patterns in the way social dialogue acts are interspersed throughout a meeting, and ii) 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. Copyright © 2013, Association for the Advancement of Artificial Intelligence. All rights reserved.
|
|
dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
| |
Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320
|
|