Abstract
Service robots need to show appropriate social behaviour in order to be deployed in social environments such as healthcare, education, retail, etc. Some of the main capabilities that robots should have are navigation and conversational skills. If the person is impatient, the person might want a robot to navigate faster and vice versa. Linguistic features that indicate politeness can provide social cues about a person’s patient and impatient behaviour. The novelty presented in this paper is to dynamically incorporate politeness in robotic dialogue systems for navigation. Understanding the politeness in users’ speech can be used to modulate the robot behaviour and responses. Therefore, we developed a dialogue system to navigate in an indoor environment, which produces different robot behaviours and responses based on users’ intention and degree of politeness. We deploy and test our system with the Pepper robot that adapts to the changes in user’s politeness.
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
References
Adam, C., Johal, W., Pellier, D., Fiorino, H., Pesty, S.: Social human-robot interaction: a new cognitive and affective interaction-oriented architecture. In: Agah, A., Cabibihan, J.-J., Howard, A.M., Salichs, M.A., He, H. (eds.) ICSR 2016. LNCS (LNAI), vol. 9979, pp. 253–263. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47437-3_25
Beck, A., Cañamero, L., Bard, K.A.: Towards an affect space for robots to display emotional body language. In: 19th International Symposium in Robot and Human Interactive Communication, pp. 464–469 (2010)
Bothe, C., Magg, S., Weber, C., Wermter, S.: Discourse-wizard: discovering deep discourse structure in your conversation with RNNs. arXiv:1806.11420 (2018)
Brown, P., Levinson, S.C.: Politeness: Some Universals in Language Usage, vol. 4. Cambridge University Press, Cambridge (1987)
Castro-González, Á., Castillo, J.C., Alonso-Martín, F., Olortegui-Ortega, O.V., González-Pacheco, V., Malfaz, M., Salichs, M.A.: The effects of an impolite vs. a polite robot playing rock-paper-scissors. In: Agah, A., Cabibihan, J.-J., Howard, A.M., Salichs, M.A., He, H. (eds.) ICSR 2016. LNCS (LNAI), vol. 9979, pp. 306–316. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47437-3_30
Coucke, A., Saade, A., Ball, A., Bluche, T., Caulier, A., Leroy, D., Doumouro, C., Gisselbrecht, T., Caltagirone, F., Lavril, T., et al.: Snips voice platform: an embedded spoken language understanding system for private-by-design voice interfaces. arXiv preprint arXiv:1805.10190
Danescu-Niculescu-Mizil, C., Sudhof, M., Jurafsky, D., Leskovec, J., Potts, C.: A computational approach to politeness with application to social factors. In: Proceedings of ACL 2013 (Volume 1: Long Papers), pp. 250–259 (2013)
Fong, T., Nourbakhsh, I., Dautenhahn, K.: A survey of socially interactive robots. Robot. Auton. Syst. 42(3–4), 143–166 (2003)
Fox, D.: Adapting the Sample Size in Particle Filters Through KLD-Sampling. Int. J. Robot. Res. 22(12), 985–1003 (2003)
Grinberg, M.: Flask Web Development: Developing Web Applications with Python. O’Reilly Media, Inc., Sebastopol (2018)
Grisettiyz, G., Stachniss, C., Burgard, W.: Improving grid-based SLAM with rao-blackwellized particle filters by adaptive proposals and selective resampling. In: International Conference on Robotics and Automation, pp. 2432–2437 (2005)
Holmes, J., Stubbe, M.: Power and Politeness in the Workplace: A Sociolinguistic Analysis of Talk at Work. Routledge, Abingdon (2015)
Hubbard, D.J., Faso, D.J., Assmann, P.F., Sasson, N.J.: Production and perception of emotional prosody by adults with autism spectrum disorder. Autism Res. 10(12), 1991–2001 (2017)
Kumar, H., Agarwal, A., Dasgupta, R., Joshi, S., Kumar, A.: Dialogue act sequence labeling using hierarchical encoder with CRF. In: AAAI Conference on Artificial Intelligence, pp. 3440–3447 (2018)
Lemaignan, S., Garcia, F., Jacq, A., Dillenbourg, P.: From real-time attention assessment to “with-me-ness” in human-robot interaction. In: International Conference on Human Robot Interaction, pp. 157–164 (2016)
Manav, B.: Color-emotion associations and color preferences: a case study for residences. Color Res. Appl. 32(2), 144–150 (2007)
Nijdam, N.A.: Mapping emotion to color. Citeseer (2009)
Pandey, A., Gelin, R.: A mass-produced sociable humanoid robot: pepper: the first machine of its kind. IEEE Robot. Autom. Mag. 25(3), 40–48 (2018). https://ieeexplore.ieee.org/document/8409927
Perera, V., Pereira, T., Connell, J., Veloso, M.: Setting up pepper for autonomous navigation and personalized interaction with users. arXiv:1704.04797 (2017)
Rogers, P.S., Lee-Wong, S.M.: Reconceptualizing politeness to accommodate dynamic tensions in subordinate-to-superior reporting. J. Bus. Tech. Commun. 17(4), 379–412 (2003)
Salem, M., Ziadee, M., Sakr, M.: Marhaba, how may I help you?: effects of politeness and culture on robot acceptance and anthropomorphization. In: International Conference on Human-robot Interaction, pp. 74–81 (2014)
Shi, W., Yu, Z.: Sentiment adaptive end-to-end dialog systems. In: Proceedings of ACL 2018, pp. 1509–1519 (2018)
Srinivasan, V., Takayama, L.: Help me please: robot politeness strategies for soliciting help from people. In: Proceedings of the Conference on Human Factors in Computing Systems, pp. 4945–4955. ACM (2016)
Suddrey, G., Jacobson, A., Ward, B.: Enabling a pepper robot to provide automated and interactive tours of a robotics laboratory. arXiv:1804.03288 (2018)
Ultes, S., Rojas Barahona, L.M., Su, P.H., Vandyke, D., Kim, D., Casanueva, I., Budzianowski, P., Mrkšić, N., Wen, T.H., Gasic, M., Young, S.: PyDial: a multi-domain statistical dialogue system toolkit. In: Proceedings of ACL 2017, System Demonstrations, pp. 73–78 (2017)
Yang, X., Chen, Y.N., Hakkani-Tür, D., Crook, P., Li, X., Gao, J., Deng, L.: End-to-end joint learning of natural language understanding and dialogue manager. In: Proceedings of IEEE ICASSP 2017, pp. 5690–5694 (2017)
Acknowledgements
This project has received funding from the European Union’s Horizon 2020 framework programme for research and innovation under the Marie Sklodowska-Curie Grant Agreement No. 642667 (SECURE), the Industrial Leadership Agreement (ICT) No. 779942 (CROWDBOT), and No. 688147 (MuMMER).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Bothe, C., Garcia, F., Cruz Maya, A., Pandey, A.K., Wermter, S. (2018). Towards Dialogue-Based Navigation with Multivariate Adaptation Driven by Intention and Politeness for Social Robots. In: Ge, S., et al. Social Robotics. ICSR 2018. Lecture Notes in Computer Science(), vol 11357. Springer, Cham. https://doi.org/10.1007/978-3-030-05204-1_23
Download citation
DOI: https://doi.org/10.1007/978-3-030-05204-1_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-05203-4
Online ISBN: 978-3-030-05204-1
eBook Packages: Computer ScienceComputer Science (R0)