Abstract
Providing guidance to customers in a shopping mall is a suitable task for a social service robot. To be useful for customers, the guidance needs to be intuitive and effective. We conducted a four-phase qualitative study to explore what kind of guidance customers need in a shopping mall, which characteristics make human guidance intuitive and effective there, and what aspects of the guidance should be applied to a social robot. We first interviewed staff working at the information booth of a shopping mall and videotaped demonstrated guidance situations. In a human-human guidance study, ten students conducted seven way-finding tasks each to ask guidance from a human guide. We replicated the study setup to study guidance situations with a social service robot with eight students and four tasks. The robot was controlled using Wizard of Oz technique. The characteristics that make human guidance intuitive and effective, such as estimation of the distance to the destination, appropriate use of landmarks and pointing gestures, appear to have the same impact when a humanoid robot gives the guidance. Based on the results, we identified nine design implications for a social guidance robot in a shopping mall.
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References
Allen, G.L.: Principles and practices for communicating route knowledge. Appl. Cogn. Psychol. 14(4), 333–359 (2000)
Allen, G.L.: Gestures accompanying verbal route directions: do they point to a new avenue for examining spatial representation? Spat. Cogn. Comput. 3(4), 259–268 (2003)
Belhassein, K., et al.: Human-Human Guidance Study. Technical-report hal-01719730, LAAS-CNRS, CLLE, VTT (2017)
Brscic, D., Ikeda, T., Kanda, T.: Do you need help? A robot providing information to people who behave atypically. IEEE Trans. Robot. 33(2), 500–506 (2017)
Clodic, A., et al.: Rackham: an interactive robot-guide. In: 15th IEEE RO-MAN (2006)
Denis, M.: The description of routes: a cognitive approach to the production of spatial discourse. Cahiers de Psychologie Cognitive 16, 409–458 (1997)
Díaz, M., Paillacho, D., Angulo, C., Torres, O., González, J., Albo-Canals, J.: A week-long study on robot-visitors spatial relationships during guidance in a sciences museum. In: 9th ACM/IEEE International Conference on HRI, pp. 152–153 (2014)
Foster, M.E., et al.: 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
Gross, H., et al.: TOOMAS: interactive shopping guide robots in everyday use - final implementation and experiences from long-term field trials. In: 2009 IEEE/RSJ IROS, pp. 2005–2012 (2009)
Kanda, T., et al.: A communication robot in a shopping mall. IEEE Trans. Rob. 26(5), 897–913 (2010). https://doi.org/10.1109/TRO.2010.2062550
Kopp, S., et al.: Trading spaces: how humans and humanoids use speech and gesture to give directions. In: Nishida, T. (ed.) Conversational Informatics: An Engineering Approach. Wiley Series in Agent Technology, pp. 133–160. Wiley, Chichester (2007)
Montello, D.R.: Scale and multiple psychologies of space. In: Frank, A.U., Campari, I. (eds.) COSIT 1993. LNCS, vol. 716, pp. 312–321. Springer, Heidelberg (1993). https://doi.org/10.1007/3-540-57207-4_21
Morales, Y., Satake, S., Kanda, T., Hagita, N.: Building a model of the environment from a route perspective for human-robot interaction. Int. J. Soc. Robot. 7(2), 165–181 (2015)
Niemelä, M., Heikkilä, P., Lammi, H., Oksman, V.: A social robot in a shopping mall: studies on acceptance and stakeholder expectations. In: Korn, O. (ed.) Social Robots: Technological, Societal and Ethical Aspects of Human-Robot Interaction. HIS, pp. 119–144. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-17107-0_7
Niemelä, M., Arvola, A., Aaltonen, I.: Monitoring the acceptance of a social service robot in a shopping mall: first results. In: Proceedings of the Companion of the 2017 ACM/IEEE HRI. ACM (2017)
Nothegger, C., Winter, S., Raubal, M.: Selection of salient features for route directions. Spat. Cogn. Comput. 4(2), 113–136 (2004)
Okuno, Y., et al.: Providing route directions: design of robot’s utterance, gesture, and timing. In: 4th ACM/IEEE International Conference on HRI (2009)
Sarthou, G., Clodic, A., Alami, R.: Semantic spatial representation: a unique representation of an environment based on an ontology for robotic applications. In: Proceedings of the Combined Workshop SpLU-RoboNLP, pp. 50–60. Association for Computational Linguistics (2019)
Satake, S., Nakatani, K., Hayashi, K., Kanda, T., Imai, M.: What should we know to develop an information robot? PeerJ Comput. Sci. 1, e8 (2015)
Triebel, R.: SPENCER: a socially aware service robot for passenger guidance and help in busy airports. In: Wettergreen, D.S., Barfoot, T.D. (eds.) Field and Service Robotics. STAR, vol. 113, pp. 607–622. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-27702-8_40
Tversky, B., Lee, P.U.: How space structures language. In: Freksa, C., Habel, C., Wender, K.F. (eds.) Spatial Cognition: An Interdisciplinary Approach to Representing. LNCS (LNAI), vol. 1404, pp. 157–175. Springer, Heidelberg (1998). https://doi.org/10.1007/3-540-69342-4_8
Tversky, B., Lee, P.U.: Pictorial and verbal tools for conveying routes. In: Freksa, C., Mark, D.M. (eds.) COSIT 1999. LNCS, vol. 1661, pp. 51–64. Springer, Heidelberg (1999). https://doi.org/10.1007/3-540-48384-5_4
Waldhart, J., Clodic, A., Alami, R.: Planning human and robot placements for shared visual perspective. In: Workshop on Robotic Co-workers 4.0 in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2018)
Wong, N., Gutwin, C.: Where are you pointing? The accuracy of deictic pointing in CVEs. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1029–1038. ACM Press (2010)
Acknowledgements
We thank Olivier Canévet for creating a Wizard of Oz user interface which we used in this study and Petri Tikka for giving technical support. We also thank Ideapark for their cooperation and the volunteer participants of the study. This work has been supported by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 688147 (MuMMER project).
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Heikkilä, P. et al. (2019). Should a Robot Guide Like a Human? A Qualitative Four-Phase Study of a Shopping Mall Robot. In: Salichs, M., et al. Social Robotics. ICSR 2019. Lecture Notes in Computer Science(), vol 11876. Springer, Cham. https://doi.org/10.1007/978-3-030-35888-4_51
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