Analysis of Behaviors of Participants in Meetings
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.
KeywordsMeeting Participant Behavior Image processing Modeling Neural network
This work was supported by JSPS KAKENHI Grant Number JP16K00499.
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