Analysis and Prediction of Team Performance based on Interaction Networks
作者单位：Department of AutomationShanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China
会议名称：《第36届中国控制会议》
会议日期：2017年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)]
基 金：supported by the National Natural Science Foundation(NNSF) of China under Grant Nos.61374176 and 61473189 the Science Fund for Creative Research Groups of the National Natural Science Foundation of China(No.61521063)
关 键 词：team cooperation dataset team performance prediction SVR SVM RReliefF
摘 要：Quantifying team dynamics and predicting team performance in social physics have become increasingly important research *** this paper,the multi-model dataset of interaction networks about cooperating teams is collected through wearable sensing technologies,that allows gathering information on team performance and *** on this dataset,the predictive power of team discussion dynamics is evaluated by using automatically extracted features,including team members’ aural cues,face-to-face interaction between team members and the internal dynamics of the *** factors affecting the team performance are identified and the prediction is achieved by support vector ***,the factors associated with the team performance are simplified by RReliefF algorithm to improve the efficiency of prediction.