Personality preferences in graphical interface design
Proceedings of the second Nordic conference on Human-computer interaction
EACE '05 Proceedings of the 2005 annual conference on European association of cognitive ergonomics
Using Multivariate Statistics (5th Edition)
Using Multivariate Statistics (5th Edition)
Personality and self reported mobile phone use
Computers in Human Behavior
Multimodal recognition of personality traits in social interactions
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Automatic recognition of personality in conversation
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Using linguistic cues for the automatic recognition of personality in conversation and text
Journal of Artificial Intelligence Research
Analysis of users and non-users of smartphone applications
Telematics and Informatics
The SHOGUN Machine Learning Toolbox
The Journal of Machine Learning Research
By their apps you shall understand them: mining large-scale patterns of mobile phone usage
Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia
Towards a psychographic user model from mobile phone usage
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Who's Who with Big-Five: Analyzing and Classifying Personality Traits with Smartphones
ISWC '11 Proceedings of the 2011 15th Annual International Symposium on Wearable Computers
Friends don't lie: inferring personality traits from social network structure
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Assessing the impact of language style on emergent leadership perception from ubiquitous audio
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia
Mining smartphone data to classify life-facets of social relationships
Proceedings of the 2013 conference on Computer supported cooperative work
Predicting personality using novel mobile phone-based metrics
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Exploring personality-targeted UI design in online social participation systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Cross-domain personality prediction: from video blogs to small group meetings
Proceedings of the 15th ACM on International conference on multimodal interaction
One of a kind: inferring personality impressions in meetings
Proceedings of the 15th ACM on International conference on multimodal interaction
Going beyond traits: multimodal classification of personality states in the wild
Proceedings of the 15th ACM on International conference on multimodal interaction
Proceedings of the 15th ACM on International conference on multimodal interaction
AppDetox: helping users with mobile app addiction
Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia
From big smartphone data to worldwide research: The Mobile Data Challenge
Pervasive and Mobile Computing
A visual exploration of mobile phone users, land cover, time, and space
Pervasive and Mobile Computing
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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.