As smartphones are increasingly an integral part of daily life, recent literature suggests a deeper relationship between personality traits and smartphone usage. However, this relationship depends on many complex factors such as geographic location, demographics, or cultural influence, just to name a few. These factors provide crucial knowledge for e.g. usage support, recommendations, marketing, general usage improvements. We use six months of application usage data from 739 Android smartphone user together with the IPIP 50-item Big Five personality traits questionnaire. As our main contribution, we show that even category-level aggregated application usage can predict Big Five traits at up to 86%–96% prediction fit in our sample. Our results show the effect of personality traits on application usage (mean error improvement on random guess 17.0%). We also identify which application usage data best describe the Big Five personality traits. Our work enables future personality-driven research, and shows that when studying personality, application categories can provide sufficient predictions in general traits.

随着智能手机日益成为日常生活中不可或缺的一部分，最近的文献表明，人格特质与智能手机使用之间的关系越来越深。但是，这种关系取决于许多复杂的因素，例如地理位置，人口统计学或文化影响等。这些因素为例如使用支持，建议，市场营销，常规使用改进提供了至关重要的知识。我们使用了来自739个Android智能手机用户的六个月的应用使用情况数据以及IPIP 50个项目的“五大”人格特质问卷。作为我们的主要贡献，我们表明，即使是类别级的汇总应用程序使用，也可以预测样本中的“五大”特征，最高可达86％–96％。我们的结果显示了人格特质对应用程序使用的影响（随机猜测的平均误差提高了17.0％）。我们还将确定哪些应用程序使用情况数据最能描述“五大”人格特征。我们的工作支持未来的个性驱动研究，并表明在研究个性时，应用类别可以为一般特征提供足够的预测。