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 [BibTeX] [Marc21]
Who's Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones
Type of publication: Conference paper
Citation: Chittaranjan_ISWC11_2011
Publication status: Published
Booktitle: International Symposium on Wearable Computing
Year: 2011
Month: June
Pages: 8
Abstract: In this paper, we investigate the relationship between behavioral characteristics derived from rich smartphone data and self-reported personality traits. Our data stems from smartphones of a set of 83 individuals collected over a continuous period of 8 months. From the analysis, we show that aggregated features obtained from smartphone usage data can be indicators of the Big-Five personality traits. Additionally, we develop an automatic method to infer the personality type of a user based on cellphone usage using supervised learning. We show that our method performs significantly above chance and up to 75.9% accuracy. To our knowledge, this constitutes the first study on the analysis and classification of personality traits using smartphone data.
Projects Idiap
Authors Chittaranjan, Gokul
Blom, Jan
Gatica-Perez, Daniel
Added by: [UNK]
Total mark: 0
  • Chittaranjan_ISWC11_2011.pdf