Skip to main content

Effects of Perspective Taking on Ratings of Human Likeness and Trust

  • Conference paper
  • First Online:
Social Robotics (ICSR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9388))

Included in the following conference series:

Abstract

The effects of perspective taking on ratings of human-likeness and trust are investigated. Seventy-four participants were shown pictures of two agents (human and robot) and storytelling narratives, which they had to complete. Afterwards, participants completed augmented versions of the Trust Scale and Human-Likeness Posttask Survey. Half of the participants were given stories using the perspective of the agent (perspective taking condition) and the other half was given stories using a third-person perspective (non-perspective taking condition). It was hypothesized that participants in the perspective taking condition would rate the agent higher on human-likeness and trust compared to the non-perspective taking condition. Interestingly, the results support our hypothesis for human-likeness but not for trust. The findings have important implications for the design of social robots by demonstrating the importance of perspective taking exercises on perception of humanness. Future studies need to validate the effects of perspective taking on human-robot interaction in various contexts and with different robot agents.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Fink, J.: Anthropomorphism and human likeness in the design of robots and human-robot interaction. In: Ge, S.S., Khatib, O., Cabibihan, J.-J., Simmons, R., Williams, M.-A. (eds.) ICSR 2012. LNCS, vol. 7621, pp. 199–208. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  2. de Visser, E.J., Krueger, F., McKnight, P., Scheid, S., Smith, M., Chalk, S., Parasuraman, R.: The World is not Enough: Trust in cognitive agents. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 56, 263–267 (2012)

    Article  Google Scholar 

  3. Haring, K.S., Matsumoto, Y., Watanabe, K.: How Do People Perceive and Trust a Lifelike Robot, vol. 1, pp. 23–25 (2013)

    Google Scholar 

  4. Calinon, S., Billard, A.: Teaching a humanoid robot to recognize and reproduce social cues. Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, pp. 346–351 (2006)

    Google Scholar 

  5. Fong, T., Nourbakhsh, I., Dautenhahn, K.: A Survey of Socially Interactive Robots: Concepts, Design, and Applications Terrence Fong, Illah Nourbakhsh, and Kerstin Dautenhahn. Robotics and Autonomous Systems 42(3–4), 143–166 (2003)

    Article  MATH  Google Scholar 

  6. Mori, M.: Bukimi no tani The uncanny valley. Energy 7(4), 33–35 (1970)

    Google Scholar 

  7. MacDorman, K.: Subjective ratings of robot video clips for human likeness, familiarity, and eeriness: An exploration of the uncanny valley. ICCS/CogSci-2006 Symposium, pp. 26–29 (2006)

    Google Scholar 

  8. Short, E., Hart, J., Vu, M., Scassellati, B.: No fair!! An interaction with a cheating robot. Human-Robot Interaction (HRI), 2010 5th ACM/IEEE International Conference on Human Robot Interaction, pp. 219–226 (2010)

    Google Scholar 

  9. Koay, K.L., Walters, M.L., Dautenhahn, K.: Methodological issues using a comfort level device in human-robot interactions. IEEE RO-MAN, 359–364 (2005)

    Google Scholar 

  10. Wiese, E., Wykowska, A., Zwickel, J., Müller, H.J.: I see what you mean: How attentional selection is shaped by ascribing intentions to others. PLoS One 7(9), e45391 (2012)

    Article  Google Scholar 

  11. Sanfey, A.G., Rilling, J.K., Aronson, J.A., Nystrom, L.E., Cohen, J.D.: The neural basis of economic decision-making in the Ultimatum Game. Science 300(5626), 1755–1758 (2003)

    Article  Google Scholar 

  12. Trafton, J.G., Cassimatis, N.L., Bugasjska, M.D., Brock, D.P., Mintz, F.E., Schultz, A.C.: Enabling effective human-robot interaction using perspective taking in robots. IEEE Transactions on Systems, Man and Cybernetics 35(4), 460–470 (2005)

    Article  Google Scholar 

  13. Krach, S., Hegel, F., Wrede, B., Sagerer, G., Binkofski, F., Kircher, T.: Can machines think? Interaction and perspective taking with robots investigated via fMRI. PLoS ONE, 3(7) (2008). http://doi.org/10.1371/journal.pone.0002597

  14. Scassellati, B.: Theory of mind for a humanoid robot. Autonomous Robots 12(1), 13–24 (2002)

    Article  MATH  Google Scholar 

  15. Davis, M.H., Conklin, L., Smith, A., Luce, C.: Effect of perspective taking on the cognitive representation of persons: A merging of self and other. Journal of Personality and Social Psychology 70(4), 713–726 (1996)

    Article  Google Scholar 

  16. Jian, J., Bisantz, A., Drury, C.: Foundations for an empirically determined scale of trust in automated systems. International Journal of Cognitive Ergonomics 4(1), 53–71 (2000)

    Article  Google Scholar 

  17. Hinds, P.J., Roberts, T.L., Jones, H.: Whose Job Is It Anyway? A Study of Human-Robot Interaction in a Collaborative Task, Human-Computer Interaction 19, 151–181 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kaitlyn Reidy .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Reidy, K., Markin, K., Kohn, S., Wiese, E. (2015). Effects of Perspective Taking on Ratings of Human Likeness and Trust. In: Tapus, A., André, E., Martin, JC., Ferland, F., Ammi, M. (eds) Social Robotics. ICSR 2015. Lecture Notes in Computer Science(), vol 9388. Springer, Cham. https://doi.org/10.1007/978-3-319-25554-5_56

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-25554-5_56

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25553-8

  • Online ISBN: 978-3-319-25554-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics