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The Importance of the Person’s Assertiveness in Persuasive Human-Robot Interactions

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12483))

Abstract

In social robotics, user-personalised messages is a technique that can be used to persuade a person to do something. Those messages can be personalised according to the personality of whom will receive this message. So, it is essential to know the personality traits of the target. However, we have many traits, e.g., a person can be extroverted, assertive, logical, among others. Because of that, it is challenging to create a strategy that can reach all the traits. In this sense, we chose to focus our persuasion strategies to approach the assertive trait of a person. The strategies were applied in a storytelling scenario with an autonomous social robot behaving assertively using strategies to suggesting the person change the decision with assertive messages and nonverbal persuasive techniques. Besides, we take into account the assertiveness level of the participant to measure if this level influences the acceptance of robot suggestion or not. We observed from the results that a person’s assertiveness level might influence the perception regarding the persuasive agent and the decisions-made in the task.

We would like to thank the State University of Rio Grande do Norte (UERN), 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 the first and second author, respectively. This work was also supported by Fundação para a Ciência e a Tecnologia: (FCT) - UIDB/50021/2020.

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Notes

  1. 1.

    MBTI assumes 16 personality types from the combination of four opposite pairs, representing preferences or dichotomies. The pairs are Extraversion (‘E’)/Introversion (‘I’); Sensing (‘S’)/iNtuition (‘N’); Thinking (‘T’)/Feeling (‘F’) and Judging (‘J’)/Perceiving (‘P’).

  2. 2.

    To compare the responses of the pre-questionnaire MBTI with the MBTI system classification based on decisions made in the system scenario.

  3. 3.

    The narrative has a non-linear parallel structure, which makes the story go through different places and situations depending on the final decision at each DP.

References

  1. Adnan, M., Mukhtar, H., Naveed, M.: Persuading students for behavior change by determining their personality type. In: 2012 15th International Multitopic Conference (INMIC), pp. 439–449. IEEE (2012)

    Google Scholar 

  2. Aly, A., Tapus, A.: A model for synthesizing a combined verbal and nonverbal behavior based on personality traits in human-robot interaction. In: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction, pp. 325–332. IEEE (2013)

    Google Scholar 

  3. Bartneck, C., Kulić, D., Croft, E., Zoghbi, S.: Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. Int. J. Soc. Robot. 1(1), 71–81 (2009)

    Article  Google Scholar 

  4. Chidambaram, V., Chiang, Y., Mutlu, B.: Designing persuasive robots: how robots might persuade people using vocal and nonverbal cues. In: Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction, pp. 293–300. ACM (2012)

    Google Scholar 

  5. Costa, P.T., McCrae, R.R.: Revised NEO Personality Inventory (NEO PI-R) and NEP Five-Factor Inventory (NEO-FFI). professional manual. Psychological Assessment Resources Lutz, FL (1992)

    Google Scholar 

  6. Elliott, T.R., Gramling, S.E.: Personal assertiveness and the effects of social support among college students. J. Couns. Psychol. 37(4), 427 (1990)

    Article  Google Scholar 

  7. Fung, P., Dey, A., Siddique, F.B., Lin, R., Yang, Y., Wan, Y., Chan, R.H.Y.: Zara the supergirl: an empathetic personality recognition system. In: Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pp. 87–91 (2016)

    Google Scholar 

  8. Gass, R.H., Seiter, J.S.: Persuasion: Social Influence and Compliance Gaining. Routledge (2015)

    Google Scholar 

  9. Iio, T., Shiomi, M., Shinozawa, K., Akimoto, T., Shimohara, K., Hagita, N.: Investigating entrainment of people’s pointing gestures by robot’s gestures using a woz method. Int. J. Soc. Robot. 3(4), 405–414 (2011)

    Article  Google Scholar 

  10. Kkedzierski, J., Muszyński, R., Zoll, C., Oleksy, A., Frontkiewicz, M.: Emys-emotive head of a social robot. Int. J. Soc. Robot. 5(2), 237–249 (2013)

    Article  Google Scholar 

  11. Lazenby, C.L., et al.: Assertiveness and leadership perceptions: the role of gender and leader-member exchange. Ph.D. thesis, Lethbridge, Alta.: University of Lethbridge, Faculty of Management (2015)

    Google Scholar 

  12. Matz, S.C., Kosinski, M., Nave, G., Stillwell, D.J.: Psychological targeting as an effective approach to digital mass persuasion. Proc. Natl Acad. Sci. 114(48), 12714–12719 (2017)

    Article  Google Scholar 

  13. Myers, I., Myers, P.: Gifts differing: understanding personality type. Davies-Black Pub (1980)

    Google Scholar 

  14. Oreg, S., Sverdlik, N.: Source personality and persuasiveness: big five predispositions to being persuasive and the role of message involvement. J. Pers. 82(3), 250–264 (2014)

    Article  Google Scholar 

  15. Paradeda, R., Ferreira, M.J., Martinho, C., Paiva, A.: Using interactive storytelling to identify personality traits. In: Nunes, N., Oakley, I., Nisi, V. (eds.) ICIDS 2017. LNCS, vol. 10690, pp. 181–192. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-71027-3_15

    Chapter  Google Scholar 

  16. Paradeda, R., Ferreira, M.J., Martinho, C., Paiva, A.: Communicating assertiveness in robotic storytellers. In: Rouse, R., Koenitz, H., Haahr, M. (eds.) ICIDS 2018. LNCS, vol. 11318, pp. 442–452. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-04028-4_51

    Chapter  Google Scholar 

  17. Paradeda, R., Ferreira, M.J., Martinho, C., Paiva, A.: Would you follow the suggestions of a storyteller robot? In: Rouse, R., Koenitz, H., Haahr, M. (eds.) ICIDS 2018. LNCS, vol. 11318, pp. 489–493. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-04028-4_57

    Chapter  Google Scholar 

  18. Paradeda, R.B., Hashemian, M., Rodrigues, R.A., Paiva, A.: How facial expressions and small talk may influence trust in a robot. In: Agah, A., Cabibihan, J.-J., Howard, A.M., Salichs, M.A., He, H. (eds.) ICSR 2016. LNCS (LNAI), vol. 9979, pp. 169–178. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47437-3_17

    Chapter  Google Scholar 

  19. Paradeda, R.B., Ferreira, M.J., Oliveira, R., Martinho, C., Paiva, A.: The role of assertiveness in a storytelling game with persuasive robotic non-player characters. In: Proceedings of the the Annual Symposium on Computer-Human Interaction in Play. October 22–25, 2019. Barcelona, Spain, pp. 453–465 (2019)

    Google Scholar 

  20. Paradeda, R., Ferreira, M.J., Oliveira, R., Martinho, C., Paiva, A.: What makes a good robotic advisor? the role of assertiveness in human-robot interaction. In: Salichs, M.A., et al. (eds.) ICSR 2019. LNCS (LNAI), vol. 11876, pp. 144–154. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-35888-4_14

    Chapter  Google Scholar 

  21. 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 ’17, ACM, New York, NY, USA, pp. 367–368 (2017)

    Google Scholar 

  22. Rolls, E.T.: Emotion and Decision Making Explained. Oxford University Press (2013)

    Google Scholar 

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Correspondence to Raul Benites Paradeda .

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Paradeda, R.B., Ferreira, M.J., Martinho, C., Paiva, A. (2020). The Importance of the Person’s Assertiveness in Persuasive Human-Robot Interactions. In: Wagner, A.R., et al. Social Robotics. ICSR 2020. Lecture Notes in Computer Science(), vol 12483. Springer, Cham. https://doi.org/10.1007/978-3-030-62056-1_43

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  • DOI: https://doi.org/10.1007/978-3-030-62056-1_43

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