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Using Interactive Storytelling to Identify Personality Traits

Part of the Lecture Notes in Computer Science book series (LNISA,volume 10690)

Abstract

Each person feels and understands stories in a unique way. Stories have different meanings to people, and those depend on their personal experiences and personality. Each one of us is unique, with unique personality traits, classifiable through personality trait theories, such as the Myers-Briggs theory. In this paper, we describe how we have created a database of 155 individuals to extract their personality classifications based on Myers-Briggs Type Indicator and then used the fact that each person’s individual traits impact the interpretation of interactive storytelling. With this work, we intend to perceive transparently (i.e. without questionnaire and using the language of the interactive experience itself) the person’s personality in order to create through the use of persuasion a personalised narrative experience. Through a concrete study, we show how an Interactive Storytelling scenario can be used to identify users personality traits. In particular, by extracting the decisions taken by a user in an interactive storytelling scenario, we are able to predict the user’s MBTI personality traits.

Keywords

  • Interactive storytelling
  • Personality traits
  • Myers-briggs type indicator
  • Decision points
  • Preferences

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Fig. 1.
Fig. 2.

Notes

  1. 1.

    Grand Theft Auto. Developers: DMA Design and Tarantula Studios. Publisher for Windows: Rockstar Games. Release: October 1997.

  2. 2.

    Assassin’s Creed. Developers: Ubisoft, Gameloft, Griptonite Games and Blue Byte. Publisher: Ubisoft. Release: November 2007.

  3. 3.

    Diablo. Developers: Blizzard Entertainment, Synergistic Software (Hellfire expansion) and Climax Group. Publishers: Blizzard Entertainment and Sierra Entertainment. Release: December 1996.

  4. 4.

    http://tracymanford.typepad.com/test.pdf.

  5. 5.

    https://goo.gl/dm2KgQ.

  6. 6.

    https://goo.gl/mizWCk.

  7. 7.

    https://goo.gl/SsCgSP.

  8. 8.

    https://www.capt.org/mbti-assessment/estimated-frequencies.htm?bhcp=1.

References

  1. Birk, M.V., Toker, D., Mandryk, R.L., Conati, C.: Modeling motivation in a social network game using player-centric traits and personality traits. In: Ricci, F., Bontcheva, K., Conlan, O., Lawless, S. (eds.) UMAP 2015. LNCS, vol. 9146, pp. 18–30. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20267-9_2

    CrossRef  Google Scholar 

  2. Figueiredo, R., Paiva, A.: Affecting choices in interactive storytelling. In: AAAI Fall Symposium: Computational Models of Narrative (2010)

    Google Scholar 

  3. Jung, C., Adler, G., Hull, R.: Collected Works of C.G. Jung, Volume 6: Psychological Types. Princeton University Press, Princeton (2014)

    CrossRef  Google Scholar 

  4. Kaplan, R., Saccuzzo, D.: Psychological Testing: Principles, Applications, and Issues. Cengage Learning, Boston (2012)

    Google Scholar 

  5. Klimmt, C., Roth, C., Vermeulen, I., Vorderer, P.: The empirical assessment of the user experience in interactive storytelling: construct validation of candidate evaluation measures. Technical report. Integrating Research in Interactive Storytelling-IRIS (2010)

    Google Scholar 

  6. McDonald, E.: The Global Games Market 2017 | Per Region & Segment | Newzoo (2017).https://newzoo.com/insights/articles/the-global-games-market-will-reach-108-9-billion-in-2017-with-mobile-taking-42/

  7. Miller, S., Pennycuff, L.: The power of story: Using storytelling to improve literacy learning. J. Cross-Discipl. Perspect. Educ. 1(1), 8 (2008)

    Google Scholar 

  8. Myers, I., Myers, P.: Gifts Differing: Understanding Personality Type. Davies-Black Publication, Palo Alto, California (1980)

    Google Scholar 

  9. Nacke, L.E., Bateman, C., Mandryk, R.L.: BrainHex: preliminary results from a neurobiological gamer typology survey. In: Anacleto, J.C., Fels, S., Graham, N., Kapralos, B., Saif El-Nasr, M., Stanley, K. (eds.) ICEC 2011. LNCS, vol. 6972, pp. 288–293. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24500-8_31

    CrossRef  Google Scholar 

  10. OECD: Student Learning Attitudes, Engagement and Strategies. In: Learning for Tomorrow’s World: First Results from PISA 2003, pp. 109–158. Organisation for Economic Cooperation and Development (OECD), Paris (2004)

    Google Scholar 

  11. Paiva, A.: The role of tangibles in interactive storytelling. In: Subsol, G. (ed.) ICVS 2005. LNCS, vol. 3805, pp. 225–228. Springer, Heidelberg (2005). https://doi.org/10.1007/11590361_26

    CrossRef  Google Scholar 

  12. Paradeda, R.B., Martinho, C., Paiva, A.: Persuasion based on personality traits: Using a social robot as storyteller. In: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017, NY, USA. pp. 367–368. ACM, New York (2017). https://doi.org/10.1145/3029798.3034824

  13. Prada, R., Santos, P., Martinho, C.: Design E Desenvolvimento De Jogos. FCA (BRASIL)

    Google Scholar 

  14. Ryokai, K., Vaucelle, C., Cassell, J.: Virtual peers as partners in storytelling and literacy learning. J. Comput. Assist. Learn. 19(2), 195–208 (2003)

    CrossRef  Google Scholar 

  15. The Myers & Briggs Foundation: The Myers & Briggs Foundation - MBTI® Basics (2014). http://www.myersbriggs.org/my-mbti-personality-type/mbti-basics/

  16. Van, G.: Potential applications of digital storytelling in education. In: Paper presented at the 3rd Twente Student Conference on IT, Department of Electrical Engineering, Mathematics and Computer Science (2005)

    Google Scholar 

  17. Wang, C.Y.: Preference measures of rectangle ratio on MBTI personality types. Art Des. Rev. 3(03), 69 (2015)

    Google Scholar 

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Acknowledgments

We would like to thank Professor Isabel Benites who aided in the story creation, the National Council for Scientific and Technological Development (CNPq) program Science without Border: 201833/2014-0 - Brazil and Agência Regional para o Desenvolvimento e Tecnologia (ARDITI) - M1420-09-5369-000001, for PhD grants to first and second authors respectively. This work was also supported by Fundação para a Ciência e a Tecnologia: (FCT) - UID/CEC/50021/2013 and the project AMIGOS:PTDC/EEISII/7174/2014.

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Correspondence to Raul Paradeda .

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Paradeda, R., Ferreira, M.J., Martinho, C., Paiva, A. (2017). Using Interactive Storytelling to Identify Personality Traits. In: Nunes, N., Oakley, I., Nisi, V. (eds) Interactive Storytelling. ICIDS 2017. Lecture Notes in Computer Science(), vol 10690. Springer, Cham. https://doi.org/10.1007/978-3-319-71027-3_15

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  • DOI: https://doi.org/10.1007/978-3-319-71027-3_15

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