Employing social gaze and speaking activity for automatic determination of the Extraversion trait

B. Lepri, Subramanian Ramanathan, Kyriaki Kalimeri, Jacopo Staiano, F. Pianesi, N. Sebe
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引用次数: 39

Abstract

In order to predict the Extraversion personality trait, we exploit medium-grained behaviors enacted in group meetings, namely, speaking time and social attention (social gaze). The latter will be further distinguished in to attention given to the group members and attention received from them. The results of our work confirm many of our hypotheses: a) speaking time and (some forms of) social gaze are effective in automatically predicting Extraversion; b) classification accuracy is affected by the size of the time slices used for analysis, and c) to a large extent, the consideration of the social context does not add much to accuracy prediction, with an important exception concerning social gaze.
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利用社会凝视和说话活动自动确定外向性特征
为了预测外向性人格特征,我们利用了群体会议中出现的中等粒度行为,即发言时间和社会注意力(社会注视)。后者将进一步区分对小组成员的关注和从他们那里得到的关注。我们的工作结果证实了我们的许多假设:a)说话时间和(某些形式的)社交凝视在自动预测外向性方面是有效的;B)分类精度受到用于分析的时间片大小的影响,c)在很大程度上,社会背景的考虑对精度预测没有多大帮助,但社会凝视是一个重要的例外。
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