Abstract
In this paper, we present a Human Robot Interaction (HRI) system which can determine people’s interests and intentions concerning exhibits in a museum, then proactively approach people that may want guidance or commentary about the exhibits. To do that, we first conducted observational experiments in a museum with participants. From these experiments, we have found, mainly three kinds of walking trajectory patterns that characterize global behavior, and visual attentional information that indicates the local behavior of the people. These behaviors ultimately indicate whether certain people are interested in the exhibits and could benefit from the robot system providing additional details about the exhibits. Based on our findings, we then designed and implemented a network enabled guide robot system for the museum. Finally, we demonstrated the viability of our proposed system by experimenting with a set of Desktop Robots as guide robots. Our experiments revealed that the proposed HRI system is effective for the network enabled Desktop Robots to proactively provide guidance.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The regions from where a person typically views exhibits in a museum.
References
Tanaka, F., et al.: Socialization between toddlers and robots at an early childhood education center. Proc. Natl. Acad. Sci. 104(46), 17954–17958 (2007)
Papaefstathiou, E., et al.: Providing remote gestural and voice input to a mobile robot, US Patent App. 13/154,468 (2012). http://www.google.com/patents/US20120316679
Yamazaki, K., et al.: Prior-to-request and request behaviors within elderly day care: implications for developing service robots for use in multiparty settings. In: Bannon, L.J., Wagner, I., Gutwin, C., Harper, R.H.R., Schmidt, K. (eds.) ECSCW 2007, pp. 61–78. Springer, London (2007)
Glas, D.F., et al.: The network robot system: enabling social human-robot interaction in public spaces. J. Hum.-Robot Interact. 1(2), 5–32 (2012)
Kanda, T., et al.: Abstracting people’s trajectories for social robots to proactively approach customers. IEEE Trans. Robot. 25(6), 1382–1396 (2009)
Kato, Y., et al.: May I help you?: design of human-like polite approaching behavior. In: Proceedings of the 10th Annual ACM/IEEE International Conference on Human-Robot Interaction, pp. 35–42. ACM, New York, NY, USA (2015)
Gyoda, M., et al.: Mobile care robot accepting requests through nonverbal interaction. In: 17th Korea-Japan Joint Workshop on FCV, pp. 1–5 (2011)
Engelberger, J.F.: Health-care robotics goes commercial: the helpmate experience. Robotica 11, 517523 (1993)
Shiomi, M., et al.: Field trial of a networked robot at a train station. Int. J. Soc. Robot. 3(1), 27–40 (2011)
Arras, K., et al.: Hybrid, high-precision localisation for the mail distributing mobile robot system mops. In: Proceedings of the 1998 IEEE International Conference on Robotics and Automation, vol. 4, pp. 3129–3134 (1998)
Asoh, H., et al.: Socially embedded learning of the office-conversant mobile robot jijo-2. In: Proceedings of 15th IJCAI 1997, pp. 880–885 (1997)
Burgard, W., et al.: Experiences with an interactive museum tour-guide robot. Artif. Intell. 114(1–2), 3–55 (2000)
Nourbakhsh, I.R., et al.: The mobot museum robot installations: a five year experiment. In: 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, pp. 3636–3641 (2003)
Thrun, S., et al.: Probabilistic algorithms and the interactive museum tour-guide robot minerva. Int. J. Robot. Res. 19(11), 972–999 (2000)
Kozima, H., et al.: Interactive robots for communication-care: a case-study in autism therapy. In: IEEE International Workshop on ROMAN 2005, pp. 341–346 (2005)
Begum, M., et al.: Measuring the efficacy of robots in autism therapy: how informative are standard HRI metrics. In: Proceedings of the 10th Annual ACM/IEEE International Conference on Human-Robot Interaction, pp. 335–342. ACM, New York, NY, USA (2015)
Kanda, T., et al.: Interactive robots as social partners and peer tutors for children: a field trial. Hum.-Comput. Interact. 19(1), 61–84 (2004)
Leite, I., et al.: Emotional storytelling in the classroom: individual versus group interaction between children and robots. In: Proceedings of HRI 2015, pp. 75–82 (2015)
Dautenhahn, K., et al.: How may I serve you?: a robot companion approaching a seated person in a helping context. In: Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human Robot Interaction, pp. 172–179. ACM Press (2006)
Bergstrom, N., et al.: Modeling of natural human-robot encounters. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2623–2629 (2008)
Brscic, D., et al.: Person tracking in large public spaces using 3-D range sensors. IEEE Trans. Hum. Mach. Syst. 43(6), 522–534 (2013)
Moeslund, T.B., et al.: A survey of advances in vision-based human motion capture and analysis. Comput. Vision Image Underst. 104(2), 90–126 (2006)
Oyama, T., et al.: Tracking visitors with sensor poles for robots museum guide tour. In: The 6th International Conference on HSI, pp. 645–650 (2013)
Naoko x Robot. http://www.naoko-robot.net
Viola, P., et al.: Robust real-time face detection. Int. J. Comput. Vision 57(2), 137–154 (2004)
Acknowledgments
This work was supported by JST, CREST.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Rashed, M.G., Suzuki, R., Kikugawa, T., Lam, A., Kobayashi, Y., Kuno, Y. (2015). Network Guide Robot System Proactively Initiating Interaction with Humans Based on Their Local and Global Behaviors. In: Huang, DS., Jo, KH., Hussain, A. (eds) Intelligent Computing Theories and Methodologies. ICIC 2015. Lecture Notes in Computer Science(), vol 9226. Springer, Cham. https://doi.org/10.1007/978-3-319-22186-1_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-22186-1_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-22185-4
Online ISBN: 978-3-319-22186-1
eBook Packages: Computer ScienceComputer Science (R0)