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International Conference on Business Information Systems

BIS 2018: Business Information Systems Workshops pp 63–76Cite as

Profiling User Colour Preferences with BFI-44 Personality Traits

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 339))

Abstract

Nowadays, a lot of attention is paid to personalisation of services and content presented to a user. Personalisation is based on profiles of a users built on top of diverse data: logs, texts, pictures, etc. The goal of the paper is to analyse a connection between a type of user’s personality and his colour preferences, to enable for personalisation. To reach this goal, correlations between outcomes of BFI-44 Personality Traits and colour preferences inspired by Plutchik’s Wheel of Emotions for individual users were analysed. 144 respondents had been surveyed with a questionnaire to enable the analysis. The results were analysed using linear models for different personality traits. Outcomes, together with their quality assessment, are presented in the paper.

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Notes

  1. 1.

    http://flickr.com.

  2. 2.

    https://mehrarodgers.wordpress.com/2013/05/05/final-project/.

  3. 3.

    http://www.rapidtables.com/web/color/RGB_Color.htm.

References

  1. Ahrndt, S., Aria, A., Fähndrich, J., Albayrak, S.: Ants in the OCEAN: modulating agents with personality for planning with humans. In: Bulling, N. (ed.) EUMAS 2014. LNCS (LNAI), vol. 8953, pp. 3–18. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-17130-2_1

    Chapter  Google Scholar 

  2. Azmi, M.A.S.B., Mazli, N.B., Yusof, Y., Hassan, M.F.H.A.: Study of RGB color classification using fuzzy logic. In: ETERD 2010 Proceedings. ACM (2010)

    Google Scholar 

  3. Bakhshi, S., Shamma, D.A., Gilbert, E.: Faces engage us: photos with faces attract more likes and comments on Instagram. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, pp. 965–974. ACM (2014)

    Google Scholar 

  4. Borth, D., Ji, R., Chen, T., Breuel, T., Chang, S.F.: Large-scale visual sentiment ontology and detectors using adjective noun pairs. In: Proceedings of the 21st ACM International Conference on Multimedia, pp. 223–232. ACM (2013)

    Google Scholar 

  5. Chaudhari, R., Patil, A.: Content based image retrieval using color and shape features. Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 1(5), 67–72 (2012)

    Google Scholar 

  6. Ferwerda, B., Schedl, M., Tkalcic, M.: Predicting personality traits with Instagram pictures. In: Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems 2015, pp. 7–10. ACM (2015)

    Google Scholar 

  7. Geurin-Eagleman, A.N., Burch, L.M.: Communicating via photographs: a gendered analysis of olympic athletes’ visual self-presentation on Instagram. Sport Manag. Rev. 19(2), 133–145 (2016)

    Article  Google Scholar 

  8. Ghorawat, D., Madan, R.: Correlation between personality types and color shade preference. Int. J. Indian Psychol. 1(04), 70–79 (2014)

    Google Scholar 

  9. Giannoulakis, S., Tsapatsoulis, N.: Evaluating the descriptive power of Instagram hashtags. J. Innov. Digit. Ecosyst. 3(2), 114–129 (2016)

    Article  Google Scholar 

  10. Ha, S.V.U., Pham, N.T., Pham, L.H., Tran, H.M.: Robust reflection detection and removal in rainy conditions using LAB and HSV color spaces. REV J. Electron. Commun. 6(1–2), 13–19 (2016)

    Google Scholar 

  11. Hochman, N., Schwartz, R.: Visualizing Instagram: tracing cultural visual rhythms. In: Proceedings of the Workshop on Social Media Visualization (SocMedVis) in Conjunction with the Sixth International AAAI Conference on Weblogs and Social Media (ICWSM-12), pp. 6–9 (2012)

    Google Scholar 

  12. Hosseinmardi, H., Mattson, S.A., Rafiq, R.I., Han, R., Lv, Q., Mishra, S.: Detection of cyberbullying incidents on the Instagram social network. arXiv preprint arXiv:1503.03909 (2015)

  13. Hu, Y., Manikonda, L., Kambhampati, S., et al.: What we Instagram: a first analysis of Instagram photo content and user types. In: ICWSM (2014)

    Google Scholar 

  14. Jackson, C.A., Luchner, A.F.: Self-presentation mediates the relationship between self-criticism and emotional response to Instagram feedback. Pers. Individ. Differ. 133, 1–6 (2018). https://doi.org/10.1016/j.paid.2017.04.052. ISSN: 0191-8869

    Article  Google Scholar 

  15. Jamil, N., Sa’adan, S.A.: Automatic image annotation using color K-means clustering. In: Badioze Zaman, H., Robinson, P., Petrou, M., Olivier, P., Schröder, H., Shih, T.K. (eds.) IVIC 2009. LNCS, vol. 5857, pp. 645–652. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-05036-7_61

    Chapter  Google Scholar 

  16. Jang, J.Y., Han, K., Shih, P.C., Lee, D.: Generation like: comparative characteristics in Instagram. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 4039–4042. ACM (2015)

    Google Scholar 

  17. John, O.P., Srivastava, S.: The big five trait taxonomy: history, measurement, and theoretical perspectives. Handb. Pers.: Theory Res. 2(1999), 102–138 (1999)

    Google Scholar 

  18. Labovitz, S.: Criteria for selecting a significance level: a note on the sacredness of 0.05. Am. Sociol. 3, 200–222 (1968)

    Google Scholar 

  19. Liu, L., Preotiuc-Pietro, D., Samani, Z.R., Moghaddam, M.E., Ungar, L.H.: Analyzing personality through social media profile picture choice. In: ICWSM, pp. 211–220 (2016)

    Google Scholar 

  20. Liu, T.Y., Scollon, C.N., Zhu, W.: Social Informatics: 7th International Conference, SocInfo 2015, Beijing, China, December 9–12, 2015, Proceedings, vol. 9471. Springer, Heidelberg (2015)

    Book  Google Scholar 

  21. Lup, K., Trub, L., Rosenthal, L.: Instagram# instasad?: exploring associations among Instagram use, depressive symptoms, negative social comparison, and strangers followed. Cyberpsychology Behav. Soc. Netw. 18(5), 247–252 (2015)

    Article  Google Scholar 

  22. Machajdik, J., Hanbury, A.: Affective image classification using features inspired by psychology and art theory. In: Proceedings of the 18th ACM International Conference on Multimedia, pp. 83–92. ACM (2010)

    Google Scholar 

  23. Min, R., Cheng, H.: Effective image retrieval using dominant color descriptor and fuzzy support vector machine. Pattern Recogn. 42(1), 147–157 (2009)

    Article  Google Scholar 

  24. Pazda, A.D.: Colorful personalities: investigating the relationship between chroma, person perception, and personality traits. Ph.D. thesis, University of Rochester (2015)

    Google Scholar 

  25. Perkins, J., Dutson, S., Quinn, R., Greene, Y., Nautu, T., Davis, E.J.: Is every picture worth 1,000 likes?: a content analysis of the images and messages on popular Instagram accounts (2017)

    Google Scholar 

  26. Pittman, M.: Creating, consuming, and connecting: examining the relationship between social media engagement and loneliness. J. Soc. Media Soc. 4(1), 66–98 (2015)

    Google Scholar 

  27. Plutchik, R.: Emotion: A Psychoevolutionary Synthesis. Harpercollins College Division, New York (1980)

    Google Scholar 

  28. Potluri, T., Nitta, G.: Content based video retrieval using dominant color of the truncated blocks of frame. J. Theor. Appl. Inf. Technol. 85(2), 165 (2016)

    Google Scholar 

  29. Simes, R.J.: An improved bonferroni procedure for multiple tests of significance. Biometrika 73(3), 751–754 (1986)

    Article  Google Scholar 

  30. Smith, L.R., Sanderson, J.: I’m going to Instagram it! An analysis of athlete self-presentation on Instagram. J. Broadcast. Electron. Media 59(2), 342–358 (2015)

    Article  Google Scholar 

  31. Souza, F., et al.: Dawn of the selfie era: the whos, wheres, and hows of selfies on Instagram. In: Proceedings of the 2015 ACM on Conference on Online Social Networks, pp. 221–231. ACM (2015)

    Google Scholar 

  32. Tao, B., Xu, S., Pan, X., Gao, Q., Wang, W.: Personality trait correlates of color preference in schizophrenia. Transl. Neurosci. 6(1), 174–178 (2015)

    Article  Google Scholar 

  33. Wang, P., Zhang, D., Zeng, G., Wang, J.: Contextual dominant color name extraction for web image search. In: 2012 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp. 319–324. IEEE (2012)

    Google Scholar 

  34. Waterloo, S.F., Baumgartner, S.E., Peter, J., Valkenburg, P.M.: Norms of online expressions of emotion: comparing Facebook, Twitter, Instagram, and Whatsapp. New Media Soc. (2017). https://doi.org/10.1177/1461444817707349

    Article  Google Scholar 

  35. Zhong, C., Chan, H.W., Karamshu, D., Lee, D., Sastry, N.: Wearing many (social) hats: how different are your different social network personae? arXiv preprint arXiv:1703.04791 (2017)

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Authors and Affiliations

  1. Department of Information Systems, Faculty of Informatics and Electronic Economy, Poznań University of Economics and Business, Poznań, Poland

    Magdalena Wieloch, Katarzyna Kabzińska, Dominik Filipiak & Agata Filipowska

Authors
  1. Magdalena Wieloch
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  2. Katarzyna Kabzińska
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  3. Dominik Filipiak
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  4. Agata Filipowska
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Corresponding author

Correspondence to Agata Filipowska .

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Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

  2. Fraunhofer FOKUS, Berlin, Berlin, Germany

    Adrian Paschke

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Wieloch, M., Kabzińska, K., Filipiak, D., Filipowska, A. (2019). Profiling User Colour Preferences with BFI-44 Personality Traits. In: Abramowicz, W., Paschke, A. (eds) Business Information Systems Workshops. BIS 2018. Lecture Notes in Business Information Processing, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-04849-5_6

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  • DOI: https://doi.org/10.1007/978-3-030-04849-5_6

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  • Online ISBN: 978-3-030-04849-5

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