Analysis of Behaviors of Participants in Meetings

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 715)

Abstract

In this paper, we analyze the behaviors of participants in two types of meetings (brainstorming and decision-making). First, we introduce the use of participant behavior based on facial movement. Next, we propose a method for modeling the behaviors of participants based on multi-layered neural networks. Lastly, based on our experimental results, we discuss the relationships between the meeting phase, participant behaviors, and the model parameters in these two types of meetings. Our results show the parameters in the above models to be strongly related to the behaviors and ideas of the participants in these two types of meetings.

Keywords

Meeting Participant Behavior Image processing Modeling Neural network 

Notes

Acknowledgements

This work was supported by JSPS KAKENHI Grant Number JP16K00499.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Konan UniversityKobeJapan
  2. 2.Fukuyama UniversityFukuyamaJapan
  3. 3.Kindai UniversityKinokawaJapan

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