人格
多样性(控制论)
动力学(音乐)
心理学
人格评估量表
五大性格特征
质量(理念)
数据科学
计算机科学
人工智能
社会心理学
教育学
哲学
认识论
作者
Brenton M. Wiernik,Deniz S. Ones,Benjamin M. Marlin,Casey Giordano,Stephan Dilchert,Brittany K. Mercado,Kevin C. Stanek,Adib Birkland,Yilei Wang,Brenda D Ellis,Yagizhan Yazar,Jack W. Kostal,Santosh Kumar,Timothy Hnat,Emre Ertin,Akane Sano,Deepak Ganesan,Tanzeem Choudhoury,Mustafa Al’Absi
出处
期刊:European Journal of Psychological Assessment
[Hogrefe Publishing Group]
日期:2020-11-01
卷期号:36 (6): 935-947
被引量:10
标识
DOI:10.1027/1015-5759/a000576
摘要
Abstract. Research interest in personality dynamics over time is rapidly growing. Passive personality assessment via mobile sensors offers an intriguing new approach for measuring a wide variety of personality dynamics. In this paper, we address the possibility of integrating sensor-based assessments to enhance personality dynamics research. We consider a variety of research designs that can incorporate sensor-based measures and address pitfalls and limitations in terms of psychometrics and practical implementation. We also consider analytic challenges related to data quality and model evaluation that researchers must address when applying machine learning methods to translate sensor data into composite personality assessments.
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