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From affect, behavior, and cognition to personality: an integrated personal character model for individual-like intelligent artifacts

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Abstract

An individual-like intelligent artifact is a special kind of humanoid which resembles a human being in assimilating aspects of its real human counterpart’s cognition and neurological functions. Such an individual-like intelligent artifact could have a number of far-reaching applications, such as in creating a digital clone of an individual and bringing about forms of digital immortality. Although such intelligent artifacts have been created in various forms, such as physical robots or digital avatars, these creations are still far from modeling the inner cognitive and neurological mechanisms of an individual human. To imbue individual-like intelligent artifacts with the characteristics of individuals, we propose a Personal Character Model that consists of personality, the characteristics of affect, behavior, and cognition, and the relations between these characteristics. According to differential psychology and personality psychology, personality is the set of essential characteristics that make a person unique whereas characteristics in affect, behavior, and cognition explain a person’s stable and abstract personality in their diverse daily behavior. In addition, relations among these characteristics serve as a bridge from one characteristic to another. To illustrate the computing process of the personal character model, we first designed three experiments to collect physiological data and behavior data from twenty participants. Then we selected data features from the collected data using correlational analysis. Finally, we computed several representative characteristics from selected data features and represented the computed results.

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References

  1. Allport G. W.: Personality: A psychological interpretation. (1937)

  2. Ashton, M.C., Lee, K.: Empirical, theoretical, and practical advantages of the hexaco model of personality structure. Personal. Soc. Psychol. Rev. 11(2), 150–166 (2007)

    Article  Google Scholar 

  3. Augmented eternity: (n.d.) https://www.media.mit.edu/projects/augmented-eternity/overview/(accessed in 30 Januray 2019)

  4. Bell, G.: The cyber all project: a personal store for everything. In: Microsoft Research Technical Report MSR-2000-75, vol. 1, pp. 1–11 (2000)

    Google Scholar 

  5. Cai, R., Guo, A., Ma, J., Huang, R., Yu, R., Yang, C.: Correlation analyses between personality traits and personal behaviors under specific emotion states using physiological data from wearable devices. In: 2018 IEEE Cyber Science and Technology Congress (CyberSciTech), pp. 46–53 (2018)

    Google Scholar 

  6. Cattell RB, Eber HW, Tatsuoka MM.: Handbook for the sixteen personality factor questionnaire (16 pf): In clinical, educational, industrial, and research psychology, for use with all forms of the test (1970)

  7. Character, n (n.d.) OED Online, Oxford University Press

  8. Cognitive tests. (n.d.) https://www.cognifit.com/cn (accessed in 30 Januray 2019)

  9. DeYoung, C.G.: Cybernetic big five theory. J. Res. Pers. 56, 33–58 (2015)

    Article  Google Scholar 

  10. Fleeson, W.: Toward a structure-and process-integrated view of personality: traits as density distributions of states. J. Pers. Soc. Psychol. 80(6), 1011 (2001)

    Article  Google Scholar 

  11. Focus attention. (n.d.) https://www.cognifit.com/focused-attention (accessed in 30 Janurary 2019)

  12. Freud S.: The ego and the id. (1921)

  13. Furnham, A.: The big five versus the big four: the relationship between the myers-Briggs type indicator (mbti) and neo-pi five factor model of personality. Personal. Individ. Differ. 21(2), 303–307 (1996)

    Article  Google Scholar 

  14. Gardecki, A., Podpora, M.: Experience from the operation of the pepper humanoid robots. Progress in Applied Electrical Engineering (PAEE). 1–6 (2017)

  15. Gershgorn, D.: Inside the mechanical brain of the world’s first robot citizen. Quartz. 16, (2017)

  16. Gottfredson, L.S.: The general intelligence factor. Sci. Am., Incorporated. (1998)

  17. Guo, A., Ma, J.: Archetype-based modeling of persona for comprehensive personality computing from personal big data. Sensors. 18(3), 684 (2018)

    Article  Google Scholar 

  18. Gurrin, C., Smeaton, A.F., Doherty, A.R.: Lifelogging: Personal big data. Foundations Trends® in Information Retrieval. 8(1), 1–125 (2014)

    Article  Google Scholar 

  19. Heckmann, D.: Ubiquitous user modeling. IOS Press (2006)

  20. H. Ishiguro, and F. D. Libera.: “Geminoid studies,” (2018)

  21. Judge, T.A., Higgins, C.A., Thoresen, C.J., Barrick, M.R.: The big five personality traits, general mental ability, and career success across the life span. Pers. Psychol. 52(3), 621–652 (1999)

    Article  Google Scholar 

  22. Jung CG. The archetypes and the collective unconscious. (2014)

    Book  Google Scholar 

  23. Karlsson, E., Archer, T.: Relationship between personality characteristics and affect: gender and affective personality. Individ. Differ. Res. 5(1), (2007)

  24. Kim, J., André, E.: Emotion recognition based on physiological changes in music listening. IEEE Trans. Pattern Anal. Mach. Intell. 30(12), 2067–2083 (2008)

    Article  Google Scholar 

  25. Larsen, R.J., Diener, E.: Affect intensity as an individual difference characteristic: a review. J. Res. Pers. 21, 1–39 (1987)

    Article  Google Scholar 

  26. Little, B.R.: Personal projects and free traits: personality and motivation reconsidered. Social Personality Psychology Compass. 2(3), 1235–1254 (2008)

    Article  Google Scholar 

  27. Ma, J., Wen, J., Huang, R., Huang, B.: Cyber-individual meets brain informatics. IEEE Intell. Syst. 26(5), 30–37 (2011)

    Article  Google Scholar 

  28. Major, B., Cozzarelli, C., Horowitz, M.J., Colyer, P.J., Fuchs, L.S., Shapiro, E.S., Stoiber, K.C., Malt, U.F., Teo, T., Winter, D.G.: Encyclopedia of Psychology: 8 Volume Set. Oxford University Press (2000)

  29. McCrae, R.R., John, O.P.: An introduction to the five-factor model and its applications. J. Pers. 60(2), 175–215 (1992)

    Article  Google Scholar 

  30. Mischel, W., Shoda, Y.: A cognitive-affective system theory of personality: Reconceptualizing situations, dispositions, dynamics, and invariance in personality structure. Psychol. Rev. 102(2), 246 (1995)

    Article  Google Scholar 

  31. Mohammadi, G., Vinciarelli, A.: Automatic personality perception: prediction of trait attribution based on prosodic features extended abstract. In: 2015 International Conference on Affective Computing and Intelligent Interaction (ACII), pp. 484–490 (2015)

    Chapter  Google Scholar 

  32. I. B. Myers, “The myers-briggs type indicator: Manual (1962),” 1962

  33. Nishio S., Ishiguro H., Hagita N.: Geminoid: Teleoperated Android of an Existing Person,” Humanoid Robots: New Developments. InTech, pp. 333–352, (2007)

  34. Paunonen, S.V., Ashton, M.C.: Big five factors and facets and the prediction of behavior. J. Pers. Soc. Psychol. 81(3), 524–539 (2001)

    Article  Google Scholar 

  35. Revelle, W., Wilt, J., Condon, D.M.: Individual differences and differential psychology: a brief history and prospect. Handbook of Individual Differences. 3–38 (2010)

  36. W. Revelle, J. Wilt, and D. Condon, “Levels of personality,” 2010

  37. Rothblatt, M.: The terasem mind uploading experiment. International Journal of Machine Consciousness. 04(01), 141–158 (2012)

    Article  Google Scholar 

  38. Subramanian, R., Wache, J., Abadi, M.K., Vieriu, R.L., Winkler, S., Sebe, N.: Ascertain: emotion and personality recognition using commercial sensors. IEEE Trans. Affect. Comput. 9(2), 147–160 (2018)

    Article  Google Scholar 

  39. The 12 Common Archetypes.: (n.d.) www.learning-mind.com/12-archetypes/ (Accessed in 30 January 2019)

  40. C. Travis, T. College, and A. V. Lunen, “The digital arts and humanities: Neogeography, social media and big data integrations and applications,” 2016

  41. Turing, A.M.: Computing machinery and intelligence. In: Parsing the Turing Test, pp. 23–65 (2009)

    Chapter  Google Scholar 

  42. Vinciarelli, A., Mohammadi, G.: A survey of personality computing. IEEE Trans. Affect. Comput. 5(3), 273–291 (2014)

    Article  Google Scholar 

  43. Vinciarelli, A., Mohammadi, G.: More personality in personality computing. IEEE Trans. Affect. Comput. 5(3), 297–300 (2014)

    Article  Google Scholar 

  44. Wen, J., Ming, K., Wang, F., Huang, B., Ma, J.: Cyber-i: vision of the individual's counterpart on cyberspace. In: In 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing, pp. 295–302 (2009)

    Chapter  Google Scholar 

  45. Wilt, J., Revelle, W.: Affect, behavior, cognition, and desire in the big five: an analysis of item content and structure. Eur J Pers. 29(4), 478–497 (2015)

    Article  Google Scholar 

  46. Winter, D.G., John, O.P., Stewart, A.J., Klohnen, E.C., Duncan, L.E.: Traits and motives: toward an integration of two traditions in personality research. Psychol. Rev. 105(2), 230 (1998)

    Article  Google Scholar 

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Acknowledgements

This work is partially supported by the Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research (No.18 K11408).

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Authors and Affiliations

  1. Graduate School of Computer and Information Sciences, Hosei University, Tokyo, 184-8584, Japan

    Ao Guo, Shunxiang Tan & Guanqun Sun

  2. Faculty of Computer and Information Sciences, Hosei University, Tokyo, 184-8584, Japan

    Jianhua Ma

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  1. Ao Guo
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Correspondence to Ao Guo.

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This article belongs to the Topical Collection: Special Issue on Smart Computing and Cyber Technology for Cyberization

Guest Editors: Xiaokang Zhou, Flavia C. Delicato, Kevin Wang, and Runhe Huang

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Guo, A., Ma, J., Tan, S. et al. From affect, behavior, and cognition to personality: an integrated personal character model for individual-like intelligent artifacts. World Wide Web 23, 1217–1239 (2020). https://doi.org/10.1007/s11280-019-00713-w

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  • DOI: https://doi.org/10.1007/s11280-019-00713-w

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