期刊
PERSONAL AND UBIQUITOUS COMPUTING
卷 17, 期 3, 页码 433-450出版社
SPRINGER LONDON LTD
DOI: 10.1007/s00779-011-0490-1
关键词
Smartphones; Big-Five; Personality; Lausanne data collection campaign
资金
- SNSF project Sensing and Analyzing Organizational Nonverbal Behavior (SONVB)
- Nokia Research Center (NRC) Lausanne
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 stem 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.
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