How Are Personality States Associated with Smartphone Data?
How Are Personality States Associated with Smartphone Data?
复制标题
人格状态如何与智能手机数据关联？
DOI：
--
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发表时间：
2020
影响因子：
5.9
通讯作者：
T. Kowatsch
中科院分区：
文献类型：
--
作者：
D. Rüegger;Mirjam Stieger;M. Nißen;Mathias Allemand;E. Fleisch;T. Kowatsch
智能手机为人格科学研究人们的日常生活行为提供了巨大的潜力。尽管人格心理学家对人格状态的研究越来越感兴趣，但智能手机数据与人格状态之间的关联尚未得到研究。这项研究为理解智能手机如何用于人格状态的行为评估迈出了第一步。我们探索了大五人格状态与智能手机传感器和使用日志数据之间的关系。在现有文献的基础上，我们首先编制了一套行为和情境指标，这是潜在的人格状态。然后，我们将它们应用于包含5748个个性状态响应的经验采样数据集，这些响应是30分钟时间范围内的自我评估和相应的智能手机数据。我们使用机器学习分析来研究这组指标对人格状态的可预测性。结果表明，只有对于外向性，智能手机数据（特别是环境噪音水平）的信息量超出了仅基于时间和星期几的预测。这些结果表明，在实现智能手机数据用于心理学研究的潜力方面存在持续的挑战。版权所有2020作者。《欧洲人格杂志》由John Wiley & Sons Ltd代表欧洲人格心理学协会出版
Smartphones promise great potential for personality science to study people's everyday life behaviours. Even though personality psychologists have become increasingly interested in the study of personality states, associations between smartphone data and personality states have not yet been investigated. This study provides a first step towards understanding how smartphones may be used for behavioural assessment of personality states. We explored the relationships between Big Five personality states and data from smartphone sensors and usage logs. On the basis of the existing literature, we first compiled a set of behavioural and situational indicators, which are potentially related to personality states. We then applied them on an experience sampling data set containing 5748 personality state responses that are self–assessments of 30 minutes timeframes and corresponding smartphone data. We used machine learning analyses to investigate the predictability of personality states from the set of indicators. The results showed that only for extraversion, smartphone data (specifically, ambient noise level) were informative beyond what could be predicted based on time and day of the week alone. The results point to continuing challenges in realizing the potential of smartphone data for psychological research. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology
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DOI：
10.1145/3173574.3173666
发表时间：
2018
期刊：
CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
影响因子：
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作者：
Mark, Gloria;Czerwinski, Mary;Iqbal, Shamsi T.
通讯作者：
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