Predicting personality using novel mobile phone-based metrics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7812 LNCS, Issue , 2013, Pages 48-55

  De Montjoye, Yves Alexandre ^a   Quoidbach, Jordi ^b   Robic, Florent ^c   Pentland, Alex ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b HARVARD UNIVERSITY   (United States)

^c UNIVERSITÉ DE LYON   (France)

Author keywords

Big Data; Big Five Personality prediction; Carrier's log; CDR; Personality prediction

Indexed keywords

BIG DATUM; CARRIER'S LOG; CDR; PERSONALITY PREDICTIONS; PHONE-BASED;

CELLULAR TELEPHONES; MOBILE PHONES;

FORECASTING;

EID: 84874800284     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37210-0_6     Document Type: Conference Paper

References (31)

1. CNET, 2011 ends with almost 6 billion mobile phone subscriptions, http://news.cnet.com/8301-1023-3-57352095-93/2011-ends-with-almost-6-billion-mobile-phone-subscriptions/
2. de Montjoye, Y.-A., Hidalgo, C., Verleysen, M., Blondel, V.: Unique in the Crowd: The privacy bounds of human mobility. Nature Sci. Rep. (2013)
3. CNN, Your phone company is selling your personal data, http://money.cnn.com/2011/11/01/technology/verizon att sprint tmobile privacy/index.htm
4. de Oliveira, R., et al.: Towards a psychographic user model from mobile phone usage. In: Proceedings of the 2011 Annual Conference Extended Abstracts on Human Factors in Computing Systems. ACM (2011)
5. Arteaga, S.M., Kudeki, M., Woodworth, A.: Combating obesity trends in teenagers through persuasive mobile technology. ACM SIGACCESS Accessibility and Computing 94, 17-25 (2009)
6. Back, M.D., et al.: Facebook profiles reflect actual personality, not self-idealization. Psychological Science 21(3), 372-374 (2010)
7. Counts, S., Stecher, K.: Self-presentation of personality during online profile creation. In: Proc. AAAI Conf. on Weblogs and Social Media (ICWSM) (2009)
8. Stecher, K., Counts, S.: Spontaneous inference of personality traits and effects on memory for online profiles. In: Proc. Int. AAAI Conference on Weblogs and Social Media (ICWSM) (2008)
9. Chittaranjan, G., Blom, J., Gatica-Perez, D.: Mining large-scale smartphone data for personality studies. In: Personal and Ubiquitous Computing (2012)
10. Do, T.M.T., Gatica-Perez, D.: By their apps you shall understand them: mining large-scale patterns of mobile phone usage. In: Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia. ACM (2010)
11. Verkasalo, H., et al.: Analysis of users and non-users of smartphone applications. Telematics and Informatics 27(3), 242-255 (2010)
12. Staiano, J., et al.: Friends dont Lie-Inferring Personality Traits from Social Network Structure (2012)
13. Pianesi, F., et al.: Multimodal recognition of personality traits in social interactions. In: Proceedings of the 10th International Conference on Multimodal Interfaces. ACM (2008)
14. Lynn, R., Martin, T.: Gender differences in extraversion, neuroticism, and psychoticism in 37 nations. J. Soc. Psychol. 137(3), 369-373 (1997)
15. Selfhout, M., et al.: Emerging late adolescent friendship networks and Big Five personality traits: A social network approach. J. Pers. 78(2), 509-538 (2010)
16. MacCann, C., Duckworth, A.L., Roberts, R.D.: Empirical identification of the major facets of conscientiousness. Learning and Individual Differences 19(4), 451-458 (2009)
17. MIT Human Dynamics Lab, Reality Commons, http://realitycommons.media.mit.edu/
18. Aharony, N., et al.: Social fMRI: Investigating and shaping social mechanisms in the real world. In: Pervasive and Mobile Computing (2011)
19. Onnela, J.P., et al.: Structure and tie strengths in mobile communication networks. Proc. Natl. Acad. Sci. U S A 104, 7332-7336 (2007)
20. Meloni, S., et al.: Modeling human mobility responses to the large-scale spreading of infectious diseases. Nature Scientific Reports 1 (2011)
21. Balcan, D., et al.: Multiscale mobility networks and the spatial spreading of infectious diseases. Proc. Natl. Acad. Sci. USA 106, 21484-21489 (2009)
22. Gonzalez, M., Hidalgo, C., Barabasi, A.: Understanding individual human mobility patterns. Nature 453, 779-782 (2008)
23. McCrae, R.R., John, O.P.: An introduction to the fivefactor model and its applications. Journal of personality 60(2), 175-215 (1992)
24. Williams, M.J., Whitaker, R.M., Allen, S.M.: Measuring Individual Regularity in Human Visiting Patterns. In: ASE International Conference on Social Computing (2012)
25. John, O.P., Srivastava, S.: The Big Five trait taxonomy: History, measurement, and theoretical perspectives. In: Handbook of personality: Theory and Research 2, pp. 102-138 (1999)
26. Benson, M.J., Campbell, J.P.: To be, or not to be, linear: An expanded representation of personality and its relationship to leadership performance. Int. J. Select. Asses. 15(2), 232-249 (2007)
27. Cucina, J.M., Vasilopoulos, N.L.: Nonlinear personality performance relationships and the spurious moderating effects of traitedness. J. Pers. 73(1), 227-260 (2004)
28. MacCallum, R.C., et al.: On the practice of dichotomization of quantitative variables. Psychol. methods 7(1), 19 (2002)
29. Guyon, I., Weston, J., Barnhill, S., Vapnik, V.: Gene selection for cancer classification using support vector machines. Mach. Learn. 46, 389-422 (2002)
30. Gomez, A., Gomez, R.: Personality traits of the behavioural approach and inhibition systems: Associations with processing of emotional stimuli. Pers. Indiv. Differ. 32(8), 1299-1316 (2002)
31. Vazire, S.: Who knows what about a person? The self-other knowledge asymmetry (SOKA) model. J. Pers. Soc. Psychol. 98(2), 281 (2010)