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Model-Driven Interaction Design for Social Robots

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Software Technologies: Applications and Foundations (STAF 2017)

Abstract

Robotic software development frameworks lack a possibility to present, validate and generate qualitative complex human robot interactions and robot developers are mostly left with unclear informal project specifications. The development of a human-robot interaction is a complex task and involves different experts, for example, the need for human-robot interaction (HRI) specialists, who know about the psychological impact of the robot’s movements during the interaction in order to design the best possible user experience. In this paper, we present a new project that aims to provide exactly this. Focusing on the interaction flow and movements of a robot for human-robot interactions we aim to provide a set of modelling languages for human-robot interaction which serves as a common, more formal, discussion point between the different stakeholders. This is a new project and the main topics of this publication are the scenario description, the analysis of the different stakeholders, our experience as robot application developers for our partner, as well as the future work we plan to achieve.

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Notes

  1. 1.

    https://www.ald.softbankrobotics.com/en/cool-robots/pepper.

References

  1. Foster, M.E., Alami, R., Gestranius, O., Lemon, O., Niemelä, M., Odobez, J.-M., Pandey, A.K.: The MuMMER project: engaging human-robot interaction in real-world public spaces. In: Agah, A., Cabibihan, J.-J., Howard, A.M., Salichs, M.A., He, H. (eds.) ICSR 2016. LNCS (LNAI), vol. 9979, pp. 753–763. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-47437-3_74

    Chapter  Google Scholar 

  2. Pandey, A.K., Alami, R., Kawamura, K.: Developmental social robotics: an applied perspective. Int. J. Soc. Robot. 7, 417–420 (2015)

    Article  Google Scholar 

  3. Nordmann, A., Hochgeschwender, N., Wigand, D.L., Wrede, S.: A survey on domain-specific modeling and languages in robotics. J. Softw. Eng. Robot. 7(1) (2016)

    Google Scholar 

  4. Jung, Y., Lee, K.M.: Effects of physical embodiment on social presence of social robots. In: Proceedings of Presence, pp. 80–87 (2004)

    Google Scholar 

  5. Kidd, C.: Sociable robots: the role of presence and task in sociable robots: the role of presence and task in human-robot interaction. Ph.D. dissertation, Massachusetts Institute of Technology (2000)

    Google Scholar 

  6. Arend, B., Sunnen, P., Caire, P.: Investigating breakdowns in human robot interaction: a conversation analysis guided single case study of a human-robot communication in a museum environment. World Acad. Sci. Eng. Technol. Int. J. Mech. Aerosp. Ind. Mechatron. Manuf. Eng. 11(5), 839–845 (2017)

    Google Scholar 

  7. McTear, M.: Modelling spoken dialogues with state transition diagrams: experiences of the CSLU toolkit. In: Proceedings of the International Conference on Spoken Language Processing, Sydney, Australia, vol. 4, pp. 1223–1226. Australian Speech Science and Technology Association, Incorporated (1998)

    Google Scholar 

  8. van Zanten, G.V.: Pragmatic interpretation and dialogue management in spoken-language systems. In: LuperFoy, S., Nijholt, A., Veldhuijzen van Zanten, G.E. (eds.) Dialogue Management in Natural Language Systems, TWLT11. University of Twente, pp. 81–88 (1996)

    Google Scholar 

  9. Allen, J., Byron, D., Dzikovska, M., Ferguson, G., Galescu, L., Stent, A.: Towards conversational human-computer interaction. AI Mag. 22, 27 (2001)

    Google Scholar 

  10. Huang, L., Hudak, P.: Dance: a declarative language for the control of humanoid robots. Yale, Department of Computer Science, Yale University New Haven, CT 06520, Technical report (2003)

    Google Scholar 

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Acknowledgment

Supported by the Fonds National de la Recherche, Luxembourg (Project ID:11609420)

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Correspondence to Gary Cornelius .

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Cornelius, G., Hochgeschwender, N., Voos, H. (2018). Model-Driven Interaction Design for Social Robots. In: Seidl, M., Zschaler, S. (eds) Software Technologies: Applications and Foundations. STAF 2017. Lecture Notes in Computer Science(), vol 10748. Springer, Cham. https://doi.org/10.1007/978-3-319-74730-9_20

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  • DOI: https://doi.org/10.1007/978-3-319-74730-9_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74729-3

  • Online ISBN: 978-3-319-74730-9

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