A Psychologically-Realistic Personality Model for Virtual Agents

  • Curtis L. GittensEmail author
Part of the International Series on Computer Entertainment and Media Technology book series (ISCEMT)


The design of psychologically-realistic behavior in virtual agents should be based on the psychometrics that identify and quantify human psychological traits. Many personality models used in agent architectures simply treat the traits identified from personality theory as numeric inputs to control agent behavior. This results in agents with personalities that cannot be evaluated with psychometric instruments like personality inventories. This is because these models primarily consist of configuration variables. In this chapter, we use psychometrics to design a personality model for a virtual agent that can be evaluated using validated personality questionnaires. The personality model also generates sentiment, which the agent uses to decide how to respond to the questionnaire. The results indicate that by using International Personality Item Pool (IPIP) items to seed an agent’s memory, it is possible to create an agent with a personality that tests consistently across multiple personality inventories.


  1. 1.
    R. Sun and S. Hélie, “Psychologically realistic cognitive agents: taking human cognition seriously,” Journal of Experimental & Theoretical Artificial Intelligence, vol. 25, no. 1, pp. 65–92, Mar. 2013. [Online]. Available:
  2. 2.
    C. M. Macal, “Everything you need to know about agent-based modelling and simulation,” Journal of Simulation, vol. 10, no. 2, pp. 144–156, May 2016. [Online]. Available:
  3. 3.
    A. O. Iuga and M. J. McGuire, “Adherence and health care costs,” Risk Management and Healthcare Policy, vol. 7, pp. 35–44, Feb. 2014. [Online]. Available:
  4. 4.
    K. Glanz and B. K. Rimer, Theory at a glance: A guide for health promotion practice. US Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Cancer Institute, 1997, no. 97.Google Scholar
  5. 5.
    G. L. Stonerock and J. A. Blumenthal, “Role of Counseling to Promote Adherence in Healthy Lifestyle Medicine: Strategies to Improve Exercise Adherence and Enhance Physical Activity,” Progress in Cardiovascular Diseases, vol. 59, no. 5, pp. 455–462, Mar. 2017. [Online]. Available:
  6. 6.
    British Broadcasting Corporation, “What Kind of Person Becomes a Violent Jihadi?, The Inquiry - BBC World Service.” [Online]. Available:
  7. 7.
    F. Galton, “Psychometric experiments,” Brain, vol. 2, no. 2, pp. 149–162, 1879. [Online]. Available: CrossRefGoogle Scholar
  8. 8.
    P. L. Gardner, “Measuring attitudes to science: Unidimensionality and internal consistency revisited,” Research in science education, vol. 25, no. 3, pp. 283–289, 1995. [Online]. Available: CrossRefGoogle Scholar
  9. 9.
    F. Mairesse, M. A. Walker, M. R. Mehl, and R. K. Moore, “Using linguistic cues for the automatic recognition of personality in conversation and text,” Journal of artificial intelligence research, vol. 30, pp. 457–500, 2007. [Online]. Available:
  10. 10.
    S. E. Hussein and M. H. Granat, “Intention detection using a neuro-fuzzy EMG classifier,” IEEE Engineering in Medicine and Biology Magazine, vol. 21, no. 6, pp. 123–129, Nov. 2002.CrossRefGoogle Scholar
  11. 11.
    T. Polzehl, S. Moller, and F. Metze, “Automatically assessing personality from speech,” in Semantic Computing (ICSC), 2010 IEEE Fourth International Conference on. IEEE, 2010, pp. 134–140.Google Scholar
  12. 12.
    M. Hilsenroth, D. Segal, and M. Hersen, Eds., Comprehensive Handbook of Psychological Assessment, Personality Assessment. John Wiley & Sons, 2004, vol. 2, google-Books-ID: mwgdJBOgNJAC.Google Scholar
  13. 13.
    J. C. Flügel and E. J. D. Radclyffe, “The Pressey Cross-Out Test Compared with a Questionnaire,” British Journal of Medical Psychology, vol. 8, no. 2, pp. 112–131, Jun. 1928. [Online]. Available:
  14. 14.
    D. E. Super, “The Bernreuter Personality Inventory: a review of research.” Psychological Bulletin, vol. 39, no. 2, pp. 94–125, 1942. [Online]. Available: CrossRefGoogle Scholar
  15. 15.
    D. J. Schretlen, “The use of psychological tests to identify malingered symptoms of mental disorder,” Clinical Psychology Review, vol. 8, no. 5, pp. 451–476, 1988.CrossRefGoogle Scholar
  16. 16.
    L. R. Derogatis and K. L. Savitz, “The SCL-90-R and the Brief Symptom Inventory (BSI) in Primary Care. Maruish, ME,” in Handbook of Psychological Assessment in Primary Care Settings, M. E. Maruish, Ed. Mahwah, NJ: Lawrence Erlbaum Associates, Publishers, pp. 297–334.Google Scholar
  17. 17.
    M. Hersen and V. B. Van Hasselt, Eds., Advanced abnormal psychology, 2nd ed. New York: Kluwer Academic/Plenum, 2001.Google Scholar
  18. 18.
    World Health Organization, “WHO | International Classification of Diseases.” [Online]. Available:
  19. 19.
    A. A. J. Hendriks, “The construction of the five-factor personality inventory (FFPI),” Unpublished doctoral dissertation, University of Groningen, The Netherlands, 1997.Google Scholar
  20. 20.
    L. R. Goldberg, “Language and individual differences: The search for universals in personality lexicons,” Review of personality and social psychology, vol. 2, no. 1, pp. 141–165, 1981.Google Scholar
  21. 21.
    A. Hendriks and W. Hofstee, “The Five-Factor Personality Inventory: Assessing the Big Five by means of brief and concrete statements,” 2002.Google Scholar
  22. 22.
    J. Zhang, J. Zheng, and N. Magnenat-Thalmann, “Modeling Personality, Mood, and Emotions,” in Context Aware Human-Robot and Human-Agent Interaction, N. Magnenat-Thalmann, J. Yuan, D. Thalmann, and B.-J. You, Eds. Cham: Springer International Publishing, 2016, pp. 211–236, dOI: 10.1007/978-3-319-19947-4_10. [Online]. Available: CrossRefGoogle Scholar
  23. 23.
    H. Lin, H. Yu, C. Miao, and L. Qiu, “Towards Emotionally Intelligent Machines: Taking Social Contexts into Account,” in Social Computing and Social Media. Springer, Cham, Jul. 2016, pp. 12–24, dOI: 10.1007/978-3-319-39910-2_2. [Online]. Available: CrossRefGoogle Scholar
  24. 24.
    M. Saberi, “Personality-Based Cognitive Design of Characters in Virtual Environments,” in Integrating Cognitive Architectures into Virtual Character Design. IGI Global, 2016, pp. 124–150. [Online]. Available:
  25. 25.
    J. You and M. Katchabaw, “A flexible multi-model approach to psychosocial integration in non player characters in modern video games,” in Proceedings of the International Academic Conference on the Future of Game Design and Technology. ACM, 2010, pp. 17–24. [Online]. Available:
  26. 26.
    V. Zammitto, S. DiPaola, and A. Arya, “A methodology for incorporating personality modeling in believable game characters,” arya, vol. 1, no. 613.520, p. 2600, 2008. [Online]. Available:
  27. 27.
    J. Salvit and E. Sklar, “Modulating agent behavior using human personality type,” in Proceedings of the Workshop on Human-Agent Interaction Design and Models (HAIDM) at Autonomous Agents and MultiAgent Systems (AAMAS). Citeseer, 2012, pp. 145–160. [Online]. Available:
  28. 28.
    S. Ahrndt, J. Fähndrich, and S. Albayrak, “Modelling of Personality in Agents: From Psychology to Implementation.” [Online]. Available:
  29. 29.
    A. Egges, S. Kshirsagar, and N. Magnenat-Thalmann, “A model for personality and emotion simulation,” in International Conference on Knowledge-Based and Intelligent Information and Engineering Systems. Springer, 2003, pp. 453–461. [Online]. Available: Google Scholar
  30. 30.
    M. Saberi, U. Bernardet, and S. DiPaola, “Model of Personality-Based, Nonverbal Behavior in Affective Virtual Humanoid Character,” in Proceedings of the 2015 ACM on International Conference on Multimodal Interaction. ACM, 2015, pp. 371–372. [Online]. Available:
  31. 31.
    P. Rizzo, M. Veloso, M. Miceli, and A. Cesta, “Personality-driven social behaviors in believable agents,” in Proceedings of the AAAI Fall Symposium on Socially Intelligent Agents, 1997, pp. 109–114. [Online]. Available:
  32. 32.
    W. K. Hofstee, B. de Raad, and L. R. Goldberg, “Integration of the Big Five and circumplex approaches to trait structure.” Journal of Personality and Social Psychology, vol. 63, no. 1, pp. 146–163, 1992. [Online]. Available: CrossRefGoogle Scholar
  33. 33.
    L. R. Goldberg, “The structure of phenotypic personality traits,” The American Psychologist, vol. 48, no. 1, pp. 26–34, Jan. 1993.CrossRefGoogle Scholar
  34. 34.
    P. T. Costa and R. R. MacCrae, Revised NEO personality inventory (NEO PI-R) and NEO five-factor inventory (NEO-FFI): Professional manual. Psychological Assessment Resources, Incorporated, 1992.Google Scholar
  35. 35.
    R. R. McCrae and P. T. Costa, “A contemplated revision of the NEO Five-Factor Inventory,” Personality and Individual Differences, vol. 36, no. 3, pp. 587–596, 2004.CrossRefGoogle Scholar
  36. 36.
    K. Lee and M. C. Ashton, “Psychometric properties of the HEXACO personality inventory,” Multivariate behavioral research, vol. 39, no. 2, pp. 329–358, 2004. [Online]. Available: CrossRefGoogle Scholar
  37. 37.
    A. Mehrabian, “Pleasure-arousal-dominance: A general framework for describing and measuring individual differences in Temperament,” Current Psychology, vol. 14, no. 4, pp. 261–292, Dec. 1996. [Online]. Available: CrossRefGoogle Scholar
  38. 38.
    P. Gebhard, “ALMA: a layered model of affect,” in Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems. ACM, 2005, pp. 29–36. [Online]. Available:
  39. 39.
    A. Ortony, G. L. Clore, and A. Collins, The cognitive structure of emotions. Cambridge university press, 1990.Google Scholar
  40. 40.
    B. J. Underwood, “Some correlates of item repetition in free-recall learning,” Journal of Verbal Learning and Verbal Behavior, vol. 8, no. 1, pp. 83–94, Feb. 1969. [Online]. Available:
  41. 41.
    C. D. Broad, “Emotion and sentiment,” The Journal of Aesthetics and Art Criticism, vol. 13, no. 2, pp. 203–214, 1954.CrossRefGoogle Scholar
  42. 42.
    L. Bernard, Instinct: A Study in Social Psychology. Holt, 1924. [Online]. Available:
  43. 43.
    L. R. Goldberg, “The development of markers for the Big-Five factor structure.” Psychological assessment, vol. 4, no. 1, p. 26, 1992.CrossRefGoogle Scholar
  44. 44.
    G. Saucier, “Effects of variable selection on the factor structure of person descriptors.” Journal of personality and social psychology, vol. 73, no. 6, p. 1296, 1997.CrossRefGoogle Scholar
  45. 45.
    C. G. DeYoung, L. C. Quilty, and J. B. Peterson, “Between facets and domains: 10 aspects of the Big Five.” Journal of personality and social psychology, vol. 93, no. 5, p. 880, 2007.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.The University of the West Indies Cave Hill CampusBridgetownBarbados

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