Detection and application of influence rankings in small group meetings
Detection and application of influence rankings in small group meetings
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DOI：
10.1145/1180995.1181047
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发表时间：
2006-11
期刊：
影响因子：
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通讯作者：
R. Rienks;Dong Zhang;D. Gática-Pérez;W. Post
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文献类型：
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作者：
R. Rienks;Dong Zhang;D. Gática-Pérez;W. Post
我们解决的问题，自动检测参与者的影响力水平的会议。探讨了其影响和社会心理背景。参与者的影响力越大，他或她对会议结果的影响就越大。在40个会议上的实验表明，应用统计（动态和静态）模型，同时使用简单可获得的特征，当使用静态模型，平衡训练集和三个离散类：高，正常和低时，预测性能最好，为70.59%。检测到的级别的应用以各种方式示出，即在虚拟会议环境中以及在会议浏览器系统中。
We address the problem of automatically detecting participant's influence levels in meetings. The impact and social psychological background are discussed. The more influential a participant is, the more he or she influences the outcome of a meeting. Experiments on 40 meetings show that application of statistical (both dynamic and static) models while using simply obtainable features results in a best prediction performance of 70.59% when using a static model, a balanced training set, and three discrete classes: high, normal and low. Application of the detected levels are shown in various ways i.e. in a virtual meeting environment as well as in a meeting browser system.