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A study on influence of human personality to location selection

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Abstract

Human personality has been largely considered to be associated with a preference for location. Maybe an adequate method applied to real-world data of both human personality and location may reveal that these two have a relationship. Two types of data were collected for this study. The Big Five Factors representing the human personality were collected by performing a Big Five Inventory of the participants of this study, and the participants’ positioning data was collected by using portable positioning devices, such as GPS receivers and/or Smartphones. The positioning data can be translated into human mobility, which indicates the preference for different locations as well as the mobile trajectory. A total of five volunteers provided their positioning data for a period of six months, and a back propagation network was used to analyze the personality data and the corresponding location data in order to identify patterns present in the data. A total of 16,807 data points was produced, and the relationship between the personality data and the location data was found by using regression analysis where the personality data were considered as the independent variable and the location data as the dependent variable. The results indicate a functional relationship and meaning between personality and location, as presented in this paper.

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References

  • Anable J (2005) Complacent car addicts or aspiring environmentalists? identifying travel behaviour segments using attitude theory. Transp Policy 12(1):65–78

    Article  Google Scholar 

  • Ashbrook D, Starner T (2003) Using gps to learn significant locations and predict movement across multiple users. Pers Ubiquitous Comput 7(5):275–286

    Article  Google Scholar 

  • Becker R, Cáceres R, Hanson K, Isaacman S, Loh JM, Martonosi M, Volinsky C (2013) Human mobility characterization from cellular network data. Commun ACM 56(1):74–82

    Article  Google Scholar 

  • Burbey IE (2011) Predicting Future Locations and Arrival Times of Individuals. Doctoral Thesis, Blacksburg, Virginia

  • Carrus G, Passafaro P, Bonnes M (2008) Emotions, habits and rational choices in ecological behaviours: the case of recycling and use of public transportation. J Environ Psychol 28(1):51–62

    Article  Google Scholar 

  • Costa PT, McCrae RR (1992) Revised NEO Personality Inventory (NEO PI-R) and NEO Five-Factor Inventory (NEO-FFI) manuals. Psychological Assessment Resources, Florida

    Google Scholar 

  • Dempster AP, Laird NM, Rubin DB (1977) Maximum likelihood from incomplete data via the em algorithm. J R Stat Soc. Ser B (Methodol) 39(8):1–38

    Google Scholar 

  • Draper NR, Smith H (1991) Applied Regression Analysis, 2nd edn. John Wiley, New York

  • Goldberg LR (1990) An alternative “description of personality”: the big-five factor structure. J Pers Soc Psychol 59(6):1216–1229

    Article  Google Scholar 

  • Gonzalez MC, Hidalgo CA, Barabasi A-L (2008) Understanding individual human mobility patterns. Nature 453(7196):779–782

    Article  Google Scholar 

  • Gretzel U, Mitsche N, Hwang Y-H, Fesenmaier DR (2004) Tell me who you are and i will tell you where to go: use of travel personalities in destination recommendation systems. Inf Technol Tour 7(1):3–12

    Article  Google Scholar 

  • Iranmanesh S, Mahdavi MA (2009) A differential adaptive learning rate method for back-propagation neural networks. World Acad Sci Eng Technol 50:2009

    Google Scholar 

  • Jang T (2003) Causal relationship among travel mode, activity, and travel patterns. J Transp Eng 129(1):16–22

    Article  Google Scholar 

  • John OP, Donahue EM, Kentle RL (1991) The big five inventory? Versions 4a and 54. University of California, Berkeley, Institute of Personality and Social Research, Berkeley

    Google Scholar 

  • Kim H, Song HY (2012) Formulating human mobility model in a form of continuous time Markov chain. Proc Comput Sci 10:389–396

    Article  Google Scholar 

  • Kim SY, Song HY (2014) Predicting human location based on human personality. In Internet of things, smart spaces, and next generation networks and systems, vol 8638. Springer, pp 70–81

  • Luger GF (2008) Artificial intelligence: structures and strategies for complex problem solving, 6th edn. Person Addison Wesley, Boston MA

    Google Scholar 

  • Pervin LA, John OP (1999) Handbook of personality: theory and research, 2nd edn. Guilford Press, New York

    Google Scholar 

  • Poropat AE (2009) A meta-analysis of the five-factor model of personality and academic performance. Psychol Bull 135(2):322

    Article  Google Scholar 

  • Riedmiller M, Braun H (1993) A direct adaptive method for faster backpropagation learning: the RPROP algorithm. In: IEEE international conference on neural networks, pp 586–591

  • Salleh A, Al-kalbani MSA, Mastor KA (2010) Testing the five factor personality model in oman. In: Proceedings of the WSEAS international conference on sociology, psychology, philosophy, pp 11-17

  • Schmitt DP, Allik J, McCrae RR, Benet-Martínez V (2007) The geographic distribution of big five personality traits patterns and profiles of human self-description across 56 nations. J Cross-Cult Psychol 38(2):173–212

    Article  Google Scholar 

  • Song C, Qu Z, Blumm N, Barabási A-L (2010) Limits of predictability in human mobility. Science 327(5968):1018–1021

    Article  MathSciNet  MATH  Google Scholar 

  • Song HY, Lee EB (2015) An analysis of the relationship between human personality and favored location. In: Afin 2015: the seventh international conference on advances in future internet, pp 5–10

  • Tupes EC, Christal RE (1992) Recurrent personality factors based on trait ratings. J Pers 60(2):225–251

    Article  Google Scholar 

  • Wang P, González MC, Hidalgo CA, Barabási A-L (2009) Understanding the spreading patterns of mobile phone viruses. Science 324(5930):1071–1076

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by a grant from the National Research Foundation of Korea funded by Korean government (MEST) (NRF-2012R1A2A2A03046473).

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Authors and Affiliations

  1. Department of Computer Engineering, Hongik University, Seoul, Korea

    Seung Yeon Kim & Ha Yoon Song

  2. College of Psychology and Child, Hanshin University, Hanshindaegil 137, Osansi, Kyeonggido, 447-791, Korea

    Hoon Jung Koo

Authors
  1. Seung Yeon Kim
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  2. Hoon Jung Koo
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  3. Ha Yoon Song
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Corresponding author

Correspondence to Ha Yoon Song.

Appendix

Appendix

Only the location data regarding school are presented in the main text. In this appendix location data regarding home will be presented also. Tables 10, 11, and 12 show the result of regression analysis between the location House and human personality in eight hours unit, respectively. The interpretation of Tables 10, 11, and 12 are similar to that of results of school. The aim to present the home related data is to provide data for comparison to that of school.

Table 10 Result of regression analysis: midnight to 7’O clock at home
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Table 11 Result of regression analysis: 8–15 h at home
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Table 12 Result of regression analysis: 16–24 h at home
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Kim, S.Y., Koo, H.J. & Song, H.Y. A study on influence of human personality to location selection. J Ambient Intell Human Comput 7, 267–285 (2016). https://doi.org/10.1007/s12652-015-0327-2

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  • DOI: https://doi.org/10.1007/s12652-015-0327-2

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