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 [BibTeX] [Marc21]
Mining Large-Scale Smartphone Data for Personality Studies
Type of publication: Journal paper
Citation: Chittaranjan_PUC_2012
Publication status: Accepted
Journal: Personal and Ubiquitous Computing
Year: 2012
Abstract: In this paper, we investigate the relationship between automatically extracted behavioral characteristics derived from rich smartphone data and self-reported Big-Five personality traits (Extraversion, Agreeableness, Conscientiousness, Emotional Stability and Openness to Experience). Our data stems from smartphones of 117 Nokia N95 smartphone users, collected over a continuous period of 17 months in Switzerland. From the analysis, we show that several aggregated features obtained from smartphone usage data can be indicators of the Big-Five traits. Next, we describe a machine learning method to detect the personality trait of a user based on smartphone usage. Finally, we study the benefits of using gender-specific models for this task. Apart from a psychological viewpoint, this study facilitates further research on the automated classification and usage of personality traits for personalizing services on smartphones.
Keywords: Big-Five, Lausanne Data Collection Campaign, Personality, Smartphones
Projects Idiap
Authors Chittaranjan, Gokul
Blom, Jan
Gatica-Perez, Daniel
Editors Martin, Tom
Starner, Thad
Added by: [UNK]
Total mark: 0
  • Chittaranjan_PUC_2012.pdf