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Human-in-the-Loop for Personality Dynamics: Proposal of a New Research Approach

  • Conference paper
  • First Online:
Artificial Intelligence for Neuroscience and Emotional Systems (IWINAC 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14674))

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Abstract

In recent years, one can observe an increasing interest in dynamic models in the personality psychology research. Opposed to the traditional paradigm—in which personality is recognized as a set of several permanent dispositions called traits—dynamic approaches treat it as a complex system based on feedback loops between individual and the environment. The growing attention to dynamic models entails the need for appropriate modelling tools. In this conceptual paper we address this demand by proposing a new approach called personality-in-the-loop, which combines state-of-the-art psychological models with the human-in-the-loop approach used in the design of intelligent systems. This new approach has a potential to open new research directions including the development of new experimental frameworks for research in personality psychology, based on simulations and methods used in the design of intelligent systems. It will also enable the development of new dynamic models of personality in silico. Finally, the proposed approach extends the field of intelligent systems design with new possibilities for processing personality-related data in these systems.

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References

  1. Cassimatis, N.L., Bello, P., Langley, P.: Ability, breadth, and parsimony in computational models of higher-order cognition. Cogn. Sci. 32(8), 1304–1322 (2008). https://doi.org/10.1080/03640210802455175

    Article  Google Scholar 

  2. Costa, P.T., McCrae, R.R.: Trait theories of personality. In: Barone, D.F., Hersen, M., Van Hasselt, V.B. (eds.) Advanced Personality, pp. 103–121. Springer, Boston (1998). https://doi.org/10.1007/978-1-4419-8580-4_5

  3. Crupi, V., Nelson, J.D., Meder, B., Cevolani, G., Tentori, K.: Generalized information theory meets human cognition: introducing a unified framework to model uncertainty and information search. Cogn. Sci. 42(5), 1410–1456 (2018). https://doi.org/10.1111/cogs.12613

    Article  Google Scholar 

  4. Dzedzickis, A., Kaklauskas, A., Bucinskas, V.: Human emotion recognition: review of sensors and methods. Sensors 20(3), 592 (2020). https://doi.org/10.3390/s20030592

    Article  Google Scholar 

  5. Feher, A., Vernon, P.A.: Looking beyond the big five: a selective review of alternatives to the big five model of personality. Personality Individ. Differ. 169, 110002 (2021). https://doi.org/10.1016/j.paid.2020.110002

    Article  Google Scholar 

  6. Friedman, S., Forbus, K., Sherin, B.: Representing, running, and revising mental models: a computational model. Cogn. Sci. 42(4), 1110–1145 (2018). https://doi.org/10.1111/cogs.12574

    Article  Google Scholar 

  7. Hopwood, C.J., Wright, A.G.C., Bleidorn, W.: Person-environment transactions differentiate personality and psychopathology. Nat. Rev. Psychol. 1(1), 55–63 (2022). https://doi.org/10.1038/s44159-021-00004-0

    Article  Google Scholar 

  8. Kelly, M.A., Arora, N., West, R.L., Reitter, D.: Holographic declarative memory: distributional semantics as the architecture of memory. Cogn. Sci. 44(11) (2020). https://doi.org/10.1111/cogs.12904

  9. Kostromina, S.N., Grishina, N.V.: The dynamic personality: ‘continuity amid change’. Psychol. Russia State Art 12(2), 34–45 (2020). https://doi.org/10.11621/pir.2019.0203

  10. Kutt, K., Drążyk, D., Bobek, S., Nalepa, G.J.: Personality-based affective adaptation methods for intelligent systems. Sensors 21(1), 163 (2021). https://doi.org/10.3390/s21010163

    Article  Google Scholar 

  11. Lara-Cabrera, R., Camacho, D.: A taxonomy and state of the art revision on affective games. Futur. Gener. Comput. Syst. 92, 516–525 (2019)

    Article  Google Scholar 

  12. Matz, S., Chan, Y.W.F., Kosinski, M.: Models of personality. In: Tkalcic, M., Carolis, B.D., de Gemmis, M., Odic, A., Kosir, A. (eds.) Emotions and Personality in Personalized Services - Models, Evaluation and Applications. Human-Computer Interaction Series, pp. 35–54. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-319-31413-6_3

  13. Mayer, J.D.: Asserting the definition of personality. Online Newslett. Pers. Sci. (1), 1–4 (2007). http://www.personality-arp.org/html/newsletter01/page5d.html

  14. McCrae, R.R., Costa, P.T.: Personality in Adulthood. Taylor & Francis, Abingdon (2003). https://doi.org/10.4324/9780203428412

  15. Mõttus, R., et al.: Descriptive, predictive and explanatory personality research: different goals, different approaches, but a shared need to move beyond the big few traits. Eur. J. Pers. 34(6), 1175–1201 (2020). https://doi.org/10.1002/per.2311

    Article  Google Scholar 

  16. Nalepa, G.J., Kutt, K., Bobek, S.: Mobile platform for affective context-aware systems. Future Gener. Comput. Syst. 92, 490–503 (2019). https://doi.org/10.1016/j.future.2018.02.033

  17. Neff, G., Nagy, P.: Talking to bots: symbiotic agency and the case of tay. Int. J. Commun. 10, 4915–4931 (2016)

    Google Scholar 

  18. Nunes, D.S.S., Zhang, P., Silva, J.S.: A survey on human-in-the-loop applications towards an internet of all. IEEE Commun. Surv. Tutor. 17(2), 944–965 (2015). https://doi.org/10.1109/COMST.2015.2398816

    Article  Google Scholar 

  19. Phan, L.V., Rauthmann, J.F.: Personality computing: new frontiers in personality assessment. Soc. Pers. Psychol. Compass 15(7) (2021). https://doi.org/10.1111/spc3.12624

  20. Quirin, M., et al.: The dynamics of personality approach (DPA): 20 tenets for uncovering the causal mechanisms of personality. Eur. J. Pers. 34(6), 947–968 (2020). https://doi.org/10.1002/per.2295

    Article  Google Scholar 

  21. Rauthmann, J.F.: Motivational factors in the perception of psychological situation characteristics. Soc. Pers. Psychol. Compass 10(2), 92–108 (2016). https://doi.org/10.1111/spc3.12239

    Article  Google Scholar 

  22. Rauthmann, J.F.: Capturing interactions, correlations, fits, and transactions: a person-environment relations model. In: The Handbook of Personality Dynamics and Processes, pp. 427–522. Elsevier (2021). https://doi.org/10.1016/B978-0-12-813995-0.00018-2

  23. Rauthmann, J.F. (ed.): The Handbook of Personality Dynamics and Processes. Elsevier (2021). https://doi.org/10.1016/C2017-0-00935-7

  24. Roads, B.D., Mozer, M.C.: Improving human-machine cooperative classification via cognitive theories of similarity. Cogn. Sci. 41(5), 1394–1411 (2017). https://doi.org/10.1111/cogs.12400

    Article  Google Scholar 

  25. Tkalcic, M., Carolis, B.D., de Gemmis, M., Odic, A., Kosir, A. (eds.): Emotions and Personality in Personalized Services - Models, Evaluation and Applications. Human-Computer Interaction Series. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-319-31413-6

  26. Valdez, A.C., Ziefle, M.: Human factors in the age of algorithms. understanding the human-in-the-loop using agent-based modeling. In: Meiselwitz, G. (ed.) Social Computing and Social Media: Technologies and Analytics (Part II). LNCS, vol. 10914, pp. 357–371. Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-319-91485-5_27

  27. Varma, S.: Criteria for the design and evaluation of cognitive architectures. Cogn. Sci. 35(7), 1329–1351 (2011). https://doi.org/10.1111/j.1551-6709.2011.01190.x

    Article  Google Scholar 

  28. Wiener, N.: Cybernetics. Sci. Am. 179(5), 14–19 (1948)

    Article  Google Scholar 

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Acknowledgments

The research for this publication has been supported by a grant from the Priority Research Area DigiWorld under the Strategic Programme Excellence Initiative at Jagiellonian University. The research has been supported by a grant from the Faculty of Physics, Astronomy and Applied Computer Science under the Strategic Programme Excellence Initiative at Jagiellonian University.

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Authors and Affiliations

  1. Jagiellonian Human-Centered AI Lab, Mark Kac Center for Complex Systems Research, Institute of Applied Computer Science, Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland

    Krzysztof Kutt, Bartosz Kawa & Grzegorz J. Nalepa

  2. Institute of Psychology, University of the National Education Commission, Kraków, Poland

    Marzena Kutt

Authors
  1. Krzysztof Kutt
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  2. Marzena Kutt
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  3. Bartosz Kawa
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  4. Grzegorz J. Nalepa
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Correspondence to Krzysztof Kutt .

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Editors and Affiliations

  1. Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Polytechnic University of Valencia, Valencia, Spain

    Mikel Val Calvo

  3. Ohio State University, Columbus, OH, USA

    Hojjat Adeli

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Kutt, K., Kutt, M., Kawa, B., Nalepa, G.J. (2024). Human-in-the-Loop for Personality Dynamics: Proposal of a New Research Approach. In: Ferrández Vicente, J.M., Val Calvo, M., Adeli, H. (eds) Artificial Intelligence for Neuroscience and Emotional Systems. IWINAC 2024. Lecture Notes in Computer Science, vol 14674. Springer, Cham. https://doi.org/10.1007/978-3-031-61140-7_43

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  • DOI: https://doi.org/10.1007/978-3-031-61140-7_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-61139-1

  • Online ISBN: 978-3-031-61140-7

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