ABSTRACT
The design and development of social robots that interact and assist people in daily life requires moving into unconstrained daily-life environments. This presents unexplored methodological challenges to robotic researchers. Is it possible, for example, to perform useful experiments in the uncontrolled conditions of everyday life environments? How long do these studies need to be to provide reliable results? What evaluations methods can be used?In this paper we present preliminary results on a study designed to evaluate an algorithm for social robots in relatively uncontrolled, daily life conditions. The study was conducted as part of the RUBI project, whose goal is to design and develop social robots by immersion in the environment in which the robots are supposed to operate. First we found that in spite of the relative chaotic conditions and lack of control existing in the daily activities of a child-care center, it is possible to perform experiments in a relatively short period of time and with reliable results. We found that continuous audience response methods borrowed from marketing research provided good inter-observer reliabilities, in the order of 70%, and temporal resolution (the cut-off frequency is in the order of 1 cycle per minute) at low cost (evaluation is performed continuously in real time). We also experimented with objective behavioral descriptions, like tracking children's movement across a room. These approaches complemented each other and provided a useful picture of the temporal dynamics of the child-robot interaction, allowing us to gather baseline data for evaluating future systems. Finally, we also touch the ongoing study of behavior analysis through 3 months long-term child-robot interaction.
- C. L. Breazeal. Designing Sociable Robots. The MIT Press, 2002. Google ScholarDigital Library
- I. Fenwick and M. D. Rice. Reliability of Continuous Measurement Copy Testing Methods. Journal of Advertising Research, 31(1):23--29, 1991.Google Scholar
- T. Fong, I. Nourbakhsh, and K. Dautenhahn. A Survey of Socially Interactive Robots. Robotics and Autonomous Systems, 42(3-4):143--166, 2003.Google ScholarCross Ref
- M. Fujita, Y. Kuroki, T. Ishida, and T. T. Doi. SDR-4X II: A Small Humanoid as an Entertainer in Home Environment. In Proceedings of the 11th International Symposium of Robotics Research, 2003.Google Scholar
- T. Ishida, Y. Kuroki, and J. Yamaguchi. Development of Mechanical System for a Small Biped Entertainment Robot. In Proceedings of the 2003 IEEE International Workshop on Robot and Human Interactive Communication, pages 297--302, 2003.Google ScholarCross Ref
- T. Kanda, T. Hirano, D. Eaton, and H. Ishiguro. Interactive Robots as Social Partners and Peer Tutors for Children: A Field Trial. Human-Computer Interaction, 19(1-2):61--84, 2004. Google ScholarDigital Library
- H. Kozima, C. Nakagawa, and Y. Yasuda. Interactive Robots for Communication-Care: A Case-Study in Autism Therapy. In Proceedings of the 2005 IEEE International Workshop on Robot and Human Interactive Communication, pages 341--346, 2005.Google ScholarCross Ref
- Y. Kuroki, T. Fukushima, K. Nagasaka, T. Moridaira, T. T. Doi, and J. Yamaguchi. A Small Biped Entertainment Robot Exploring Human-Robot Interactive Applications. In Proceedings of the 2003 IEEE International Workshop on Robot and Human Interactive Communication, pages 303--308, 2003.Google ScholarCross Ref
- J. R. Movellan, F. Tanaka, B. Fortenberry, and K. Aisaka. The RUBI/QRIO Project: Origins, Principles, and First Steps. In Proceedings of 2005 4th IEEE International Conference on Development and Learning, pages 80--86, 2005.Google ScholarCross Ref
- M. Polsfuss and M. Hess. `Liking' through Moment-To-Moment Evaluation: Identifying Key Selling Segments in Advertising. Advances in Consumer Research, 18(1):540--544, 1991.Google Scholar
- F. Tanaka and H. Suzuki. Dance Interaction with QRIO: A Case Study for Non-boring Interaction by Using an Entrainment Ensemble Model. In Proceedings of the 2004 IEEE International Workshop on Robot and Human Interactive Communication, pages 419--424, 2004.Google ScholarCross Ref
Index Terms
- Daily HRI evaluation at a classroom environment: reports from dance interaction experiments
Recommendations
Assessing Children's Perceptions and Acceptance of a Social Robot
IDC '19: Proceedings of the 18th ACM International Conference on Interaction Design and ChildrenChildren's interactions with social robots and other technologies are increasingly longitudinal, especially in areas such as healthcare, therapy, and education. As such, we need to understand how children perceive social robots over time and the kinds ...
Understanding how children understand robots: Perceived animism in child-robot interaction
Centuries ago, the existence of life was explained by the presence of a soul (Tylor, 1871). Known as animism, this term was re-defined in the 1970s by Piaget as young children's beliefs that inanimate objects are capable of actions and have life-like ...
How to sustain long-term interaction between children and ROBOSEM in english class
HRI '12: Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot InteractionAccording to studies confirming that robot assisted learning (RAL) can positively contribute to improving learners' motivation and achievement for language learning [1, 4], RAL is facing its diffusion through the demand of parents and government. ...
Comments