Inference of Big-Five Personality Using Large-scale Networked Mobile and Appliance Data
Inference of Big-Five Personality Using Large-scale Networked Mobile and Appliance Data
复制标题
使用大规模网络移动和家电数据推断大五人格
DOI：
10.1145/3210240.3210823
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Tong C
中科院分区：
文献类型：
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作者：
Tong C
我们提出了第一个大规模（9270用户）的研究数据从移动的和网络设备的大五人格推断。我们将聚合的行为和身体健康特征与个性相关联，并使用SVM和决策树进行二进制分类。我们发现，尽管数据集的大小和复杂性（移动的和电器的混合），但可以从该数据集中以75%的准确度推断出每个大五人格，因为先前的方法提供了类似的准确度水平。我们希望实现更高的准确性，这项研究是了解如何对此类数据进行建模的第一步。
We present the first large-scale (9270-user) study of data from both mobile and networked appliances for Big-Five personality inference. We correlate aggregated behavioral and physical health features with personalities, and perform binary classification using SVM and Decision Tree. We find that it is possible to infer each Big-Five personality at accuracies of 75% from this dataset despite its size and complexity (mix of mobile and appliance) as prior methods offer similar accuracy levels. We would like to achieve better accuracies and this study is a first step towards seeing how to model such data.