• ISSN: 2301-3567
    • Frequency: Quarterly (2013-2014); Monthly (Since 2015)
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms Jessica C. Xiao
    • Abstracting/ Indexing: Engineering & Technology Library,  Electronic Journals Library, Ulrich's Periodicals Directory, MESLibrary, Google Scholar, Crossref, and ProQuest.
    • E-mail: joebm@ejournal.net
JOEBM 2014 Vol.2(4): 273-280 ISSN: 2301-3567
DOI: 10.7763/JOEBM.2014.V2.138

Predicting Human Locations with Big Five Personality and Neural Network

Ha Yoon Song and Seung Yeon Kim
Abstract—It is generally believed that human mobility pattern is affected by human personality. It implies human personality can influence future human location or usual frequent places. In such a manner, Big Five Personality Traits is utilized in order to figure out the effect of human personality toward human mobility model. The Back Propagation Network is used as a tool for identifying the effect of human personality to human mobility model. Human personality and preferred locations were related in a range of common sense. An algorithm is designed to simulate the effect of personality on human locations and represent the effect numerically. Our result will show the combinatorial effect of human personality and human mobility.

Index Terms—Human mobility, probabilistic location prediction, big five factors, back propagation network, psychological factor, big five inventory, human mobility modeling, big five personality traits.

Seung Yeon Kim is with the Hongik University (E-mail: dosa0107@gmail.com).

[PDF]

Cite: Ha Yoon Song and Seung Yeon Kim, "Predicting Human Locations with Big Five Personality and Neural Network," Journal of Economics, Business and Management vol. 2, no. 4, pp. 273-280, 2014.

Copyright © 2008-2015. Journal of Economics, Business and Management. All rights reserved.
E-mail: joebm@ejournal.net