Abstract
Interaction means to share a communicative space with others. Social interactions are reciprocally-oriented activities among currently present partners. An artificial system can be such a partner for humans. In this study, we investigate the effect of disturbance in human-robot interaction. Disturbance in communication is an attention shift of a partner caused by an external factor. In human-human interaction, people would cope with the problem to continue to communicate because they presuppose that the partner might get irritated and thereby shift his/her interactive orientation. Our hypothesis is that people reproduce a social attitude of reattracting the partner’s attention by varying their communication channels even toward a robot. We conducted an experiment of hybrid interaction between a human and a robot simulation and analyzed it from a sociological and an engineering perspective. Our qualitative analysis revealed that people established a communicative space with our robot and accepted it as a proactive agent.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Pörksen, B.: Die Gewissheit der Ungewissheit. Gespräche zum Konstruktivismus. In: jedem Augenblick kann ich entscheiden, wer ich bin. Heinz von Foerster über den Beobachter, das dilaogische Leben und eine konstruktivistische Philosophie des Unterscheidens, Carl-Auer-Systeme Verlag (2001)
Dautenhahn, K., Ogden, B., Quick, T.: From embodied to socially embedded agents - implications for interaction-aware robots, December 2001 (2002)
Fong, T., Nourbakhsh, I., Dautenhahn, K.: A survey of socially interactive robots. Robotics and Autonomous Systems 42, 143–166 (2003)
Goetz, J., Kiesler, S., Powers, A.: Matching robot appearance and behavior to tasks to improve human-robot cooperation. In: Proceedings of the 12th IEEE International Workshop on Robot and Human Interactive Communication, pp. 55–60. IEEE Computer Society Press, Los Alamitos (2003)
Minato, T., Shimada, M., Itakura, S., Lee, K., Ishiguro, H.: Evaluating the human likeness of an android by comparing gaze behaviors elicited by the android and a person. Advanced Robotics 20(10), 1147–1163 (2006)
Mori, M.: Bukimi no tani (the uncanny valley). Energy 7(4), 33–35 (1970)
Asada, M., MacDorman, K.F., Ishiguro, H., Kuniyoshi, Y.: Cognitive developmental robotics as a new paradigm for the design of humanoid robots. Robotics and Autonomous Systems 37, 185–193 (2001)
Lungarella, M., Metta, G., Pfeifer, R., Sandini, G.: Developmental robotics: a survey. Connection Science 15(4), 151–190 (2003)
Luhmann, N.: Social Systems. Stanford University Press, Stanford, CA (1995)
Goodwin, C., Heritage, J.: Conversation analysis. Annual Reviw of Anthropology 19, 283–307 (1990)
Schütz, A.: Collected Papers, The problem of the social reality, vol. 1, Nijhoff, The Hague (1962)
Goodwin, C., Goodwin, M.H.: Conurrent operations on talk: Notes on the interactive organization of assessments. In: IPRA Papers in Pragmatics, vol. 1, pp. 1–54 (1987)
Goodwin, C.: Discourse of the Body, pp. 19–42. Palgrave/Macmillan, New York (2003)
Sacks, H., Schegloff, E.A., Jefferson, G.: A simplest systematics for the organization of turn-taking for conversation. Language 50, 696–735 (1974)
Garfinkel, H.: Studies in Ethnomethodology. Prentice-Hall, Englewood Cliffs (1967)
von Glasersfeld, E.: Wege des Wissens. Konstruktivistische Erkundungen durch unser Denken. In: Fiktion und Realität aus der Perspektive des radikalen Konstruktivismus, pp. 45–61. Carl-Auer-Systeme Verlag (1997)
von Glasersfeld, E.: Radikaler Konstruktivismus. Ideen, Ergebnisse, Probleme. Suhrkamp, Frankfurt a. M (1995)
Goodwin, C.: Notes on story structure and the organization of participation. Cambridge: Cambridge University Press (1984)
Ogino, M., Watanabe, A., Asada, M.: Mapping from facial expression to internal state based on intuitive parenting. In: Proceedings of the Sixth International Workshop on Epigenetic Robotics, pp. 182–183 (2006)
Itti, L., Koch, C., Niebur, E.: A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(11), 1254–1259 (1998)
Itti, L., Dhavale, N., Pighin, F.: Realistic avatar eye and head animation using a neurobiological model of visual attention. In: Proceedings of the SPIE 48th Annual International Symposium on Optical Science and Technology, pp. 64–78 (2003)
Kemp, C.C., Edsinger, A.: What can i control?: The development of visual categories for a robot’s body and the world that it influences. In: Proceedings of the 5th International Conference on Development and Learning (2006)
Nagai, Y., Rohlfing, K.J.: Can motionese tell infants and robots ”what to imitate”? In: Proceedings of the 4th International Symposium on Imitation in Animals and Artifacts, pp. 299–306 (2007)
Bergmann, J.R.: Handbuch Qualitative Sozialforschung. In: Studies of Work/Ethnomethodologie, München, Psychologie Verlags Union, pp. 269–272 (1991)
Kidd, C.D., Breazeal, C.: Effect of a robot on user perceptions. In: Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, September 28-October 2, 2004, IEEE/RSJ (2004)
Moore, C., Dunham, P.J. (eds.): Joint Attention: Its Origins and Role in Development. Lawrence Erlbaum Associates, Mahwah (1995)
Scassellati, B.: Theory of mind for a humanoid robot. Autonomous Robots 12, 13–24 (2002)
Nagai, Y., Hosoda, K., Morita, A., Asada, M.: A constructive model for the development of joint attention. Connection Science 15(4), 211–229 (2003)
Nagai, Y., Asada, M., Hosoda, K.: Learning for joint attention helped by functional development. Advanced Robotics 20(10), 1165–1181 (2006)
Brand, R.J., Baldwin, D.A., Ashburn, L.A.: Evidence for ’motionese’: modifications in mothers’ infant-directed action. Developmental Science 5(1), 72–83 (2002)
Rohlfing, K.J., Fritsch, J., Wrede, B., Jungmann, T.: How can multimodal cues from child-directed interaction reduce learning complexity in robot? Advanced Robotics 20(10), 1183–1199 (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Muhl, C., Nagai, Y., Sagerer, G. (2007). On Constructing a Communicative Space in HRI. In: Hertzberg, J., Beetz, M., Englert, R. (eds) KI 2007: Advances in Artificial Intelligence. KI 2007. Lecture Notes in Computer Science(), vol 4667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74565-5_21
Download citation
DOI: https://doi.org/10.1007/978-3-540-74565-5_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74564-8
Online ISBN: 978-3-540-74565-5
eBook Packages: Computer ScienceComputer Science (R0)