000192373 001__ 192373
000192373 005__ 20190604054647.0
000192373 02470 $$2ISI$$a000315445100003
000192373 0247_ $$2doi$$a10.1007/s00779-011-0490-1
000192373 037__ $$aARTICLE
000192373 245__ $$aMining Large-Scale Smartphone Data for Personality Studies
000192373 269__ $$a2013
000192373 260__ $$c2013
000192373 336__ $$aJournal Articles
000192373 520__ $$aIn 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.
000192373 6531_ $$aBig-Five
000192373 6531_ $$aLausanne Data Collection Campaign
000192373 6531_ $$aPersonality
000192373 6531_ $$aSmartphones
000192373 700__ $$aChittaranjan, Gokul
000192373 700__ $$aBlom, Jan
000192373 700__ $$g171600$$aGatica-Perez, Daniel$$0241066
000192373 773__ $$j17$$tPersonal and Ubiquitous Computing$$k3$$q433-450
000192373 8564_ $$uhttps://infoscience.epfl.ch/record/192373/files/Chittaranjan_PUC_2012.pdf$$zn/a$$s295806$$yn/a
000192373 909C0 $$xU10381$$0252189$$pLIDIAP
000192373 909CO $$ooai:infoscience.tind.io:192373$$qGLOBAL_SET$$pSTI$$particle
000192373 917Z8 $$x148230
000192373 937__ $$aEPFL-ARTICLE-192373
000192373 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000192373 970__ $$aChittaranjan_PUC_2012/LIDIAP
000192373 980__ $$aARTICLE