Advertisement

Using Adaptive Empathic Responses to Improve Long-Term Interaction with Social Robots

  • Iolanda Leite
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6787)

Abstract

The goal of this research is to investigate the effects of empathy and adaptive behaviour in long-term interaction between social robots and users. To address this issue, we propose an action selection mechanism that will allow a social robot to chose adaptive empathic responses, in the attempt to keep users engaged over several interactions.

Keywords

social robots affective user modeling empathy adaptive feedback 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Brave, S., Nass, C., Hutchinson, K.: Computers that care: investigating the effects of orientation of emotion exhibited by an embodied computer agent. International Journal of Human-Computer Studies 62(2), 161–178 (2005)CrossRefGoogle Scholar
  2. 2.
    Breazeal, C.: Role of expressive behaviour for robots that learn from people. Phil. Trans. R. Soc. B: Biological Sciences 364(1535), 3527–3538 (2009)CrossRefGoogle Scholar
  3. 3.
    Chi, M., VanLehn, K., Litman, D.J., Jordan, P.W.: Inducing effective pedagogical strategies using learning context features. In: De Bra, P., Kobsa, A., Chin, D. (eds.) UMAP 2010. LNCS, vol. 6075, pp. 147–158. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  4. 4.
    Cooper, B., Brna, P., Martins, A.: Effective affective in intelligent systems: Building on evidence of empathy in teaching and learning. In: Paiva, A.C.R. (ed.) IWAI 1999. LNCS, vol. 1814, pp. 21–34. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  5. 5.
    Cramer, H., Goddijn, J., Wielinga, B., Evers, V.: Effects of (in) accurate empathy and situational valence on attitudes towards robots. In: Proceedings of the 5th ACM/IEEE Conference on HRI, pp. 141–142. ACM, New York (2010)Google Scholar
  6. 6.
    Hoffman, M.L.: Empathy and moral development: Implications for caring and justice. Cambridge University Press, Cambridge (2001)Google Scholar
  7. 7.
    Leite, I., Martinho, C., Pereira, A., Paiva, A.: iCat: an affective game buddy based on anticipatory mechanisms. In: Proceedings of AAMAS 2008. IFAAMAS, pp. 1229–1232 (2008)Google Scholar
  8. 8.
    Leite, I., Martinho, C., Pereira, A., Paiva, A.: As Time goes by: Long-term evaluation of social presence in robotic companions. In: Proceedings of RO-MAN 2009, pp. 669–674. IEEE, Los Alamitos (2009)Google Scholar
  9. 9.
    Leite, I., Mascarenhas, S., Pereira, A., Martinho, C., Prada, R., Paiva, A.: ”Why can’t we be friends?” an empathic game companion for long-term interaction. In: Safonova, A. (ed.) IVA 2010. LNCS, vol. 6356, pp. 315–321. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  10. 10.
    Rich, E.: Users are individuals: individualizing user models. International Journal of Man-machine Studies 18(3), 199–214 (1983)CrossRefGoogle Scholar
  11. 11.
    Woolf, B., Burleson, W., Arroyo, I., Dragon, T., Cooper, D., Picard, R.: Affect-aware tutors: recognising and responding to student affect. International Journal of Learning Technology 4(3), 129–164 (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Iolanda Leite
    • 1
  1. 1.INESC-ID, Instituto Superior TécnicoPorto SalvoPortugal

Personalised recommendations