Abstract
It is generally believed that human personality affects human mobility patterns. Human personality factors, especially the Big Five factors, allow for the future location of a person to be probabilistically predicted in combination with personal mobility model. For this purpose, we collected the Big Five factors and positioning data for five volunteer participants. Human positioning data can be modeled under an individual human mobility model. With these personality factors and the human mobility model, a person’s near future location can actually be predicted using a back propagation network.
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References
Becker, R., Cáceres, R., Hanson, K., Isaacman, S., Loh, J.M., Martonosi, M., Rowland, J., Urbanek, S., Varshavsky, A., Volinsky, C.: Human mobility characterization from cellular network data. Communications of the ACM 56(1), 74–82 (2013)
Carrus, G., Passafaro, P., Bonnes, M.: Emotions, habits and rational choices in ecological behaviours: The case of recycling and use of public transportation. Journal of Environmental Psychology 28(1), 51–62 (2008)
Schmitt, D.P., Allik, J., McCrae, R.R., Benet-MartĂnez, V.: The geographic distribution of big five personality traits patterns and profiles of human self-description across 56 nations. Journal of Cross-Cultural Psychology 38(2), 173–212 (2007)
Pervin, L.A., John, O.P.: Handbook of personality: Theory and research (1999)
Salleh, A., Al-kalbani, M.S.A., Mastor, K.A.: Testing the five factor personality model in oman
Kim, H., Song, H.Y.: Formulating human mobility model in a form of continuous time markov chain. Procedia Computer Science 10, 389–396 (2012)
Song, C., Qu, Z., Blumm, N., Barabási, A.-L.: Limits of predictability in human mobility. Science 327(5968), 1018–1021 (2010)
Hidalgo, C.A., Gonzalez, M.C., Barabasi, A.-L.: Understanding individual human mobility patterns. Nature 453(7196), 779–782 (2008)
Luger, G.F.: Artificial intelligence: Structures and strategies for complex problem solving (2008)
Burbey, I.E.: Predicting future locations and arrival times of individuals. PhD thesis, Virginia Polytechnic Institute and State University (2011)
Poropat, A.E.: A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin 135(2), 322 (2009)
Fiske, D.W.: Consistency of the factorial structures of personality ratings from different sources. The Journal of Abnormal and Social Psychology 44(3), 329 (1949)
Tupes, E.C., Christal, R.E.: Recurrent personality factors based on trait ratings (1961)
John, O.P., Donahue, E.M., Kentle, R.L.: The big five inventory–versions 4a and 54. University of California, Institute of Personality and Social Research, Berkeley (1991)
Riedmiller, M., Braun, H.: A direct adaptive method for faster backpropagation learning: The rprop algorithm. In: IEEE International Conference on Neural Networks 1993, pp. 586–591. IEEE (1993)
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Kim, S.Y., Song, H.Y. (2014). Predicting Human Location Based on Human Personality. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2014. Lecture Notes in Computer Science, vol 8638. Springer, Cham. https://doi.org/10.1007/978-3-319-10353-2_7
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DOI: https://doi.org/10.1007/978-3-319-10353-2_7
Publisher Name: Springer, Cham
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