Publications [#330662] of Cynthia D. Rudin

Papers Published

1. 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 2024/04/18)

   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.