TY - GEN
T1 - Predicting personality using novel mobile phone-based metrics
AU - De Montjoye, Yves Alexandre
AU - Quoidbach, J.
AU - Robic, Florent
AU - Pentland, Alex
PY - 2013
Y1 - 2013
N2 - The present study provides the first evidence that personality can be reliably predicted from standard mobile phone logs. Using a set of novel psychology-informed indicators that can be computed from data available to all carriers, we were able to predict users' personality with a mean accuracy across traits of 42% better than random, reaching up to 61% accuracy on a three-class problem. Given the fast growing number of mobile phone subscription and availability of phone logs to researchers, our new personality indicators open the door to exciting avenues for future research in social sciences. They potentially enable cost-effective, questionnaire-free investigation of personality-related questions at a scale never seen before.
AB - The present study provides the first evidence that personality can be reliably predicted from standard mobile phone logs. Using a set of novel psychology-informed indicators that can be computed from data available to all carriers, we were able to predict users' personality with a mean accuracy across traits of 42% better than random, reaching up to 61% accuracy on a three-class problem. Given the fast growing number of mobile phone subscription and availability of phone logs to researchers, our new personality indicators open the door to exciting avenues for future research in social sciences. They potentially enable cost-effective, questionnaire-free investigation of personality-related questions at a scale never seen before.
KW - Big Data
KW - Big Five Personality prediction
KW - CDR
KW - Carrier's log
KW - Personality prediction
UR - http://www.scopus.com/inward/record.url?scp=84874800284&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-37210-0_6
DO - 10.1007/978-3-642-37210-0_6
M3 - Conference contribution
AN - SCOPUS:84874800284
SN - 9783642372094
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 48
EP - 55
BT - Social Computing, Behavioral-Cultural Modeling and Prediction - 6th International Conference, SBP 2013, Proceedings
T2 - 6th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2013
Y2 - 2 April 2013 through 5 April 2013
ER -