Abstract
Social robots will be soon deployed in large public spaces populated by many people. This scenario differs from personal domestic robots, since it is characterized by multiple short-term interactions with unknown people rather than by a long-term interaction with the known user. In particular, short-term interactions with people in a public area must be effective, personalized and socially acceptable. In this paper, we present the design and implementation of an Human-Robot Interaction module that allows to personalize short-term multi-modal interactions. This module is based on explicit representation of social norms and thus provides a high degree of variability in the personalization of the interactions, maintaining easy extendibility and scalability. The module is designed within the framework of the COACHES project and some implementation details are provided in order to demonstrate its feasibility and capabilities.
This is a preview of subscription content, log in via an institution.
Preview
Unable to display preview. Download preview PDF.
References
Bastianelli, E., Castellucci, G., Croce, D., Basili, R., Nardi, D.: Effective and robust natural language understanding for human-robot interaction. In: Proceedings of 21st European Conference on Artificial Intelligence, pp. 57–62 (2014)
Boella, G., Pigozzi, G., van der Torre, L.: Normative framework for normative system change. In: Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS) (2009)
Gockley, R., Bruce, A., Forlizzi, J., Michalowski, M., Mundell, A., Rosenthal, S., Sellner, B., Simmons, R., Snipes, K., Schultz, A.C., et al.: Designing robots for long-term social interaction. In: IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 1338–1343 (2005)
Lee, M.K., Forlizzi, J., Kiesler, S., Rybski, P., Antanitis, J., Savetsila, S.: Personalization in HRI: a longitudinal field experiment. In: ACM/IEEE Int. Conf. on Human-Robot Interaction, pp. 319–326. New York, NY, USA (2012)
Mason, M., Lopes, M.: Robot self-initiative and personalization by learning through repeated interactions. In: ACM/IEEE Int. Conf. on Human-Robot Interaction (HRI), pp. 433–440 (2011)
Mitsunaga, N., Smith, C., Kanda, T., Ishiguro, H., Hagita, N.: Adapting robot behavior for human-robot interaction. IEEE Transactions on Robotics 24(4), 911–916 (2008)
Nardi, L., Iocchi, L.: Representation and execution of social plans through human-robot collaboration. In: Beetz, M., Johnston, B., Williams, M.-A. (eds.) ICSR 2014. LNCS, vol. 8755, pp. 266–275. Springer, Heidelberg (2014)
Tapus, A., Ţăpuş, C., Matarić, M.J.: User-robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy. Intelligent Service Robotics 1(2), 169–183 (2008)
Ziparo, V.A., Iocchi, L., Lima, P.U., Nardi, D., Palamara, P.F.: Petri net plans - A framework for collaboration and coordination in multi-robot systems. Autonomous Agents and Multi-Agent Systems 23(3), 344–383 (2011)
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
Iocchi, L., Lázaro, M.T., Jeanpierre, L., Mouaddib, AI. (2015). Personalized Short-Term Multi-modal Interaction for Social Robots Assisting Users in Shopping Malls. In: Tapus, A., André, E., Martin, JC., Ferland, F., Ammi, M. (eds) Social Robotics. ICSR 2015. Lecture Notes in Computer Science(), vol 9388. Springer, Cham. https://doi.org/10.1007/978-3-319-25554-5_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-25554-5_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25553-8
Online ISBN: 978-3-319-25554-5
eBook Packages: Computer ScienceComputer Science (R0)