Abstract
Anthropomorphism is the tendency to attribute human characteristics to non–human entities. This paper presents exploratory work to evaluate how human responses during the ultimatum game vary according to the level of anthropomorphism of the opponent, which was either a human, a humanoid robot or a computer. Results from an online user study (N=138) show that rejection scores are higher in the case of a computer opponent than in the case of a human or robotic opponent. Participants also took significantly longer to reply to the offer of the computer rather than to the robot. This indicates that players might use similar ways to decide whether to accept or reject offers made by robotic or human opponents which are different in the case of a computer opponent.
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References
Bartneck, C., Kuliç, D., Croft, E., Zoghbi, S.: Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International Journal of Social Robotics 1(1), 71–81 (2009)
Bradley, J.V.: Complete counterbalancing of immediate sequential effects in a Latin square design. Journal of the American Statistical Association 53(282), 525–528 (1958), doi:10.1080/01621459.1958.10501456
Duffy, B.R.: Anthropomorphism and the social robot. Special Issue on Socially Interactive Robots, Robotics and Autonomous Systems 42, 170–190 (2003)
Epley, N., Waytz, A., Cacioppo, J.T.: On seeing human: a three-factor theory of anthropomorphism. Psychological Review 114, 864–886 (2007)
Fong, T., Nourbakhsh, I., Dautenhahn, K.: A survey of socially interactive robots. Robotics and Autonomous Systems 42(3), 143–166 (2003)
Kennedy, J.S.: The new anthropomorphism. Cambridge University Press (1992)
Kiesler, S., Goetz, J.: Mental models and cooperation with robotic assistants. In: Proceedings of Conference on Human Factors in Computing Systems, pp. 576–577. ACM Press (2002)
Langner, O., Dotsch, R., Bijlstra, G., Wigboldus, D.H.J., Hawk, S.T., van Knippenberg, A.: Presentation and validation of the radboud faces database. Cognition & Emotion 24, 1377–1388 (2010)
Moretti, L., di Pellegrino, G.: Disgust selectivity modulates reciprocal fainess in economic interactions. Emotion 10, 169–180 (2010)
Nowak, K.L.: The influence of anthropomorphism and agency on social judgment in virtual environments. Journal of Computer-Mediated Communication 9(2) (2004)
Nowak, K.L., Biocca, F.: The effect of the agency and anthropomorphism on users’ sense of telepresence, copresence, and social presence in virtual environments. Presence: Teleoperators & Virtual Environments 12(5), 481–494 (2003)
Ruijten, P.A.M., Midden, C.J.H., Ham, J.: I didn’t know that virtual agent was angry at me: Investigating effects of gaze direction on emotion recognition and evaluation. In: Berkovsky, S., Freyne, J. (eds.) PERSUASIVE 2013. LNCS, vol. 7822, pp. 192–197. Springer, Heidelberg (2013)
Sanfey, A.G.: Expectations and social decision-mkaing: biasing effects of prior knowledge on ultimatum responses. Mind and Society 8, 93–107 (2009)
Sanfey, A.G., Riling, J.K., Aronson, J.A., Nystrom, L.E., Cohen, J.D.: The neural basis of economic decision-making in the ultimatum game. Science 13, 1755–1758 (2003)
Zhang, T., Zhu, B., Lee, L., Kaber, D.: Service robot anthropomorphism and interface design for emotion in human-robot interaction. In: IEEE International Conference on Automation Science and Engineering, CASE 2008, pp. 674–679 (August 2008)
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Torta, E., van Dijk, E., Ruijten, P.A.M., Cuijpers, R.H. (2013). The Ultimatum Game as Measurement Tool for Anthropomorphism in Human–Robot Interaction. In: Herrmann, G., Pearson, M.J., Lenz, A., Bremner, P., Spiers, A., Leonards, U. (eds) Social Robotics. ICSR 2013. Lecture Notes in Computer Science(), vol 8239. Springer, Cham. https://doi.org/10.1007/978-3-319-02675-6_21
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DOI: https://doi.org/10.1007/978-3-319-02675-6_21
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