Abstract
It has been shown that human perception of robots changes after the first interaction. It is not clear, however, to which extent the robot’s appearance and interactive abilities influences such changes in perception. In this paper, participants’ perception of two robots with different appearance and interactive modalities are compared before and after a short interaction with the robots. Data from Japanese and Australian participants is evaluated and compared. Experimental results show significant differences in perception depending on the robot type and the time of interaction. As a result of cultural background, perception changes were observed only for Japanese participants on isolated key concepts.
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Notes
- 1.
Although My Keepon has some elements of anthropomorphism (eyes and nose), in this document it is referred as non-biomimetic due to its non-biomimetic form and behaviour.
- 2.
In this document the names ‘My Keepon’ and ‘Keepon’ will be used interchangeably.
References
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, 71–81 (2009)
Gao, T., Scholl, B.J., McCarthy, G.: Dissociating the detection of intentionality from animacy in the right posterior superior temporal sulcus. J. Neurosci. 32(41), 14276–14280 (2012)
Gray, K., Young, L., Waytz, A.: Mind perception is the essence of morality. Psychol. Inq. 23(2), 101–124 (2012)
Haring, K.S., Watanabe, K., Mougenot, C.: The influence of robot appearance on assessment. In: Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pp. 131–132. IEEE Press (2013)
Haring, K.S., Silvera-Tawil, D., Matsumoto, Y., Velonaki, M., Watanabe, K.: Perception of an android robot in Japan and Australia: a cross-cultural comparison. In: Beetz, M., Johnston, B., Williams, M.-A. (eds.) ICSR 2014. LNCS (LNAI), vol. 8755, pp. 166–175. Springer, Heidelberg (2014). doi:10.1007/978-3-319-11973-1_17
Haring, K.S., Silvera-Tawil, D., Takahashi, T., Velonaki, M., Watanabe, K.: Perception of a humanoid robot: a cross-cultural comparison. In: Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, pp. 821–826. IEEE (2015)
Haring, K.S., Watanabe, K., Silvera-Tawil, D., Velonaki, M., Matsumoto, Y.: Touching an android robot: would you do it and how? In: Proceedings of the International Conference on Control, Automation and Robotics, pp. 8–13 (2015)
Kidd, C.D., Breazeal, C.: Effect of a robot on user perceptions. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 4, pp. 3559–3564. IEEE (2004)
Kim, R.H., Moon, Y., Choi, J.J., Kwak, S.S.: The effect of robot appearance types on motivating donation. In: Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pp. 210–211. ACM (2014)
Kozima, H., Nakagawa, C., Yano, H.: Can a robot empathize with people? Artif. Life Robot. 8(1), 83–88 (2004)
Mori, M., MacDorman, K.F., Kageki, N.: The uncanny valley [from the field]. IEEE Robot. Autom. Mag. 19(2), 98–100 (2012)
Oliver, R.L.: A cognitive model of the antecedents and consequences of satisfaction decisions. J. Mark. Res. 17, 460–469 (1980)
Scholtz, J.: Theory and evaluation of human robot interactions. In: Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 1–10. IEEE Computer Society (2003)
Strait, M., Canning, C., Scheutz, M.: Let me tell you! investigating the effects of robot communication strategies in advice-giving situations based on robot appearance, interaction modality and distance. In: Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, pp. 479–486. ACM (2014)
Straub, D., Keil, M., Brenner, W.: Testing the technology acceptance model across cultures: a three country study. Inf. Manage. 33(1), 1–11 (1997)
Vernon, R.J.W., Sutherland, C.A.M., Young, A.W., Hartley, T.: Modeling first impressions from highly variable facial images. Proc. National Acad. Sci. 111(32), E3353–E3361 (2014)
Yanco, H.A., Drury, J.L.H.: Classifying human-robot interaction: an updated taxonomy. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 3, pp. 2841–2846 (2004)
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Haring, K.S., Silvera-Tawil, D., Watanabe, K., Velonaki, M. (2016). The Influence of Robot Appearance and Interactive Ability in HRI: A Cross-Cultural Study. In: Agah, A., Cabibihan, JJ., Howard, A., Salichs, M., He, H. (eds) Social Robotics. ICSR 2016. Lecture Notes in Computer Science(), vol 9979. Springer, Cham. https://doi.org/10.1007/978-3-319-47437-3_38
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