Systemic interaction analysis (SInA) in HRI

ABSTRACT

Recent developments in robotics enable advanced human-robot interaction. Especially interactions of novice users with robots are often unpredictable and, therefore, demand for novel methods for the analysis of the interaction in systemic ways. We propose Systemic Interaction Analysis (SInA) as a method to jointly analyze system level and interaction level in an integrated manner using one tool. The approach allows us to trace back patterns that deviate from prototypical interaction sequences to the distinct system components of our autonomous robot. In this paper, we exemplarily apply the method to the analysis of the follow behavior of our domestic robot BIRON. The analysis is the basis to achieve our goal of improving human-robot interaction iteratively.

REFERENCES

• 1: Philippsen, R., Jensen, B. and Siegwart, R. 2006. Towards Real-Time Sensor-Based Path Planning in Highly Dynamic Environments. In Laugier, C. and Chatila, R. (ed.). Autonomous Navigation in Dynamic Environments, 35.
• 2: Knoop, S., Vacek, S., and Dillmann, R. 2006. Sensor Fusion for 3D Human body Tracking with an Articulated 3D Body Model. In Proceedings International Conference on Robotics and Automation, 1686--1691.
• 3: Hawes, N., Sloman, A., Wyatt, J., Zillich, M., Jacobsson, H., Kruijff, G., Brenner, M., Berginc, G., and Skocaj, D. 2007. Towards an Integrated Robot with Multiple Cognitive Functions. Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, AAAI Press, 1548--1553.
• 4: Wada, K., Shibata, T., Saito, T., and Tanie, K. 2003. Relationship between familiarity with mental commit robot and psychological effects to elderly people by robot assisted activity. IEEE International Symposium on Computational Intelligence in Robotics and Automation, 113--118.
• 5: Billard, A. 2003. Robota: Clever toy and educational tool. Robotics and Autonomous Systems, 42, 259--269.
• 6: Kerstin Dautenhahn, Roles and functions of robots in human society: implications from research in autism therapy, Robotica, v.21 n.4, p.443-452, August 2003 [doi>10.1017/S0263574703004922]
• 7: Kozima, H., Yasuda, Y., and Nakagawa, C. 2007. Social interaction facilitated by a minimally-designed robot: Findings from longitudinal therapeutic practices for autistic children. 16th IEEE International Conference on Robot and Human Interactive Communication (ROMAN).
• 8: Pioggia, G., Sica, M., Ferro, M., Igliozzi, F., Ahluwalia, A., and Rossi, D. D. 2008. Human-Robot Interaction in Autism: FACE, an Android-based Social Therapy. In Proceedings of Human-Robot Interaction Conference.
• 9: Severinson-Eklundh, K., Green, A., and Hüttenrauch, H. 2003. Social and collaborative aspects of interaction with a service robot. Robotics and Autonomous Systems, Special Issue on Socially Interactive Robots, 42, 3-4, March 2003.
• 10: Severinson-Eklundh, K., Green, A., Hüttenrauch, H., Oestreicher, L., and Norman, M. 2003. Involving Users in the Design of a Mobile Office Roboter. IEEE Transactions on Systems, Man and Cybernetics, Part C, January 2003.
• 11: Kahn, P. H., Friedman, B., Pérez-Granados, D. R., and Freier, N. G. 2006. Robotic pets in the lives of preschool children. Interaction Studies, 7, 405--436.
• 12: Takayuki Kanda , Takayuki Hirano , Daniel Eaton , Hiroshi Ishiguro, Interactive robots as social partners and peer tutors for children: a field trial, Human-Computer Interaction, v.19 n.1, p.61-84, June 2004 [doi>10.1207/s15327051hci1901&2_4]
• 13: Tatsuya Nomura_aff1n2 , Takugo Tasaki , Takayuki Kanda , Masahiro Shiomi , Hiroshi Ishiguro , Norihiro Hagita, Questionnaire-based social research on opinions of Japanese visitors for communication robots at an exhibition, AI & Society, v.21 n.1, p.167-183, November 2006 [doi>10.1007/s00146-006-0053-6]
• 14: Nourbakhsh, I., Kunz, C., and Willeke, T. 2003. The Mobot Museum Robot Installations: A Five Year Experiment. In Proceedings of IROS 2003.
• 15: Jodi Forlizzi , Carl DiSalvo, Service robots in the domestic environment: a study of the roomba vacuum in the home, Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction, March 02-03, 2006, Salt Lake City, Utah, USA [doi>10.1145/1121241.1121286]
• 16: Jordan, B. and Henderson, A. 1995. Interaction Analysis: Foundations and Practice. The Journal of the Learning Sciences, 4(1):39--109.
• 17: Goodwin, C. 2000. Action and embodiment within situated human interaction. Journal of Pragmatics, 32, 1489--1522.
• 18: Aaron Steinfeld , Terrence Fong , David Kaber , Michael Lewis , Jean Scholtz , Alan Schultz , Michael Goodrich, Common metrics for human-robot interaction, Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction, March 02-03, 2006, Salt Lake City, Utah, USA [doi>10.1145/1121241.1121249]
• 19: Hanheide, M. and Sagerer, G. 2008. Active Memory-based Interaction Strategies for Learning-enabling Behaviors. In Proceedings International Symposium on Robot and Human Interactive Communication (ROMAN).
• 20: Li, S., Wrede, B., and Sagerer, G. 2006. A computational model of multi-modal grounding. In Proceedings ACL SIGdial workshop on discourse and dialog, in conjunction with COLING/ACL 2006: ACL Press, 153--160.
• 21: Walters, M. L., Dautenhahn, K., te Boekhorst, R., Koay, K. L., Kaouri, C., and Woods, S. 2005. The influence of subjects' personality traits on personal spatial zones in a human-robot interaction experiment. In Proceedings IEEE ROMAN 2005, 347--352.
• 22: Huettenrauch, H., Severinson Eklundh, K., Green, A., and Topp, E.A. 2006. Investigating Spatial Relationships in Human-Robot Interaction. In Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS2006, October 9 - 15, 2006, Beijing, China, 5052--5059.
• 23: Yuan, F., Swadzba, A., Philippsen, R., Engin, O., Hanheide, M., and Wachsmuth, S. 2009. Laser-based Navigation Enhanced with 3D Time of Flight Data. In Proceedings of ICRA 2009, Kobe, Japan.

INDEX TERMS

Primary Classification:
  J. Computer Applications
  J.0 GENERAL

General Terms:
Design, Experimentation, Measurement

Keywords:
analysis tools, autonomous system, domestic robot, follow behavior, user studies