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PREDICTING SOCIAL BEHAVIOR IN SITUATION-GAMES FROM CROWDSOURCING EXPERIMENTS

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If you have a question about this talk, please contact Eiko Yoneki .

Nowadays, numerous project managers are in charge of the composition of efficient groups in order to solve collective problems; leading to the following questions: How can we determine the optimal size of a team? Which person do we need to select for a given task? Despite the large number of data available, what seems to stilllack in most of the social network studies is a link between the experiment results and a simple format model. Considering the existing opinion dynamics tools, we propose to fit different consensus models to social influence by conducting online experiments on crowdsourcing platforms. Ultimately, this presentation will focus on drawing a model which will allow to predict the group’s efficiency, and explain the resulting decisions by human personality traits.

This talk is part of the Computer Laboratory Systems Research Group Seminar series.

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