Abstract
If autonomous robots are expected to operate in close proximity with people, they should be able to deal with human proxemics and social rules. Earlier research has shown that robots should respect personal space when approaching people, although the quantitative details vary with robot model and direction of approach. It would seem that similar considerations apply when a robot is only passing by, but direct measurement of the comfort of the passing distance is still missing. Therefore the current study measured the perceived comfort of varying passing distances of the robot on each side of a person in a corridor. It was expected that comfort would increase with distance until an optimum was reached, and that people would prefer a left passage over a right passage. Results showed that the level of comfort did increase with distance up to about 80 cm, but after that it remained constant. There was no optimal distance. Surprisingly, the side of passage had no effect on perceived comfort. These findings show that robot proxemics for passing by differ from approaching a person. The implications for modelling human-aware navigation and personal space models are discussed.
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Bemelmans, R., Gelderblom, G.J., Jonker, P., De Witte, L.: Socially assistive robots in elderly care: a systematic review into effects and effectiveness. J. Am. Med. Directors Assoc. 13(2), 114–120 (2012)
Bitgood, S., Dukes, S.: Not another step! Economy of movement and pedestrian choice point behavior in shopping malls. Environ. Behav. 38(3), 394–405 (2006)
Charalampous, K., Kostavelis, I., Gasteratos, A.: Robot navigation in large-scale social maps: an action recognition approach. Expert Syst. Appl. 66, 261–273 (2016)
Elkmann, N., Hortig, J., Fritzsche, M.: Cleaning automation. In: Nof, S. (ed.) Springer Handbook of Automation, pp. 1253–1264. Springer, Heidelberg (2009)
Feil-Seifer, D., Mataric, M.J.: Defining socially assistive robotics. In: 9th International Conference on Rehabilitation Robotics, ICORR 2005, pp. 465–468. IEEE (2005)
Gérin-Lajoie, M., Richards, C.L., Fung, J., McFadyen, B.J.: Characteristics of personal space during obstacle circumvention in physical and virtual environments. Gait Posture 27(2), 239–247 (2008)
Hall, E.T.: The Hidden Dimension. Anchor Books, New York (1966)
Hayduk, L.A.: The shape of personal space: an experimental investigation. Can. J. Behav. Sci./Revue Canadienne des sciences du comportement 13(1), 87 (1981)
Helbing, D., Molnar, P.: Social force model for pedestrian dynamics. Phys. Rev. 51(5), 4282–4286 (1995)
Kanda, A., Arai, M., Suzuki, R., Kobayashi, Y., Kuno, Y.: Recognizing groups of visitors for a robot museum guide tour. In: 2014 7th International Conference on Human System Interactions (HSI), pp. 123–128. IEEE (2014)
Kirby, R., Simmons, R., Forlizzi, J.: Companion: a constraint-optimizing method for person-acceptable navigation. In: Robot and Human Interactive Communication, RO-MAN 2009, pp. 607–612. IEEE (2009)
Koay, K.L., Syrdal, D., Bormann, R., Saunders, J., Walters, M.L., Dautenhahn, K.: Initial design, implementation and technical evaluation of a context-aware proxemics planner for a social robot. In: Kheddar, A., et al. (eds.) ICSR 2017. LNCS, vol. 10652, pp. 12–22. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70022-9_2
Lam, C.P., Chou, C.T., Chiang, K.H., Fu, L.C.: Human-centered robot navigation: towards a harmoniously human-robot coexisting environment. IEEE Trans. Robot. 27(1), 99–112 (2011)
Mead, R., Matarić, M.J.: Robots have needs too: how and why people adapt their proxemic behavior to improve robot social signal understanding. J. Hum.-Robot Interact. 5(2), 48–68 (2016)
Pacchierotti, E., Christensen, H.I., Jensfelt, P.: Evaluation of passing distance for social robots. In: The 15th IEEE International Symposium on Robot and Human Interactive Communication, ROMAN 2006, pp. 315–320. IEEE (2006)
Papadakis, P., Rives, P., Spalanzani, A.: Adaptive spacing in human-robot interactions. In: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), pp. 2627–2632. IEEE (2014)
Rios-Martinez, J., Spalanzani, A., Laugier, C.: From proxemics theory to socially-aware navigation: a survey. Int. J. Soc. Robot. 7(2), 137–153 (2015)
Robins, B., Dautenhahn, K., Te Boekhorst, R., Billard, A.: Robotic assistants in therapy and education of children with autism: can a small humanoid robot help encourage social interaction skills? Univ. Access Inf. Soc. 4(2), 105–120 (2005)
Rossi, S., Staffa, M., Bove, L., Capasso, R., Ercolano, G.: User’s personality and activity influence on HRI comfortable distances. In: Kheddar, A., et al. (eds.) ICSR 2017. LNCS, vol. 10652, pp. 167–177. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70022-9_17
Ruijten, P.A.M., Cuijpers, R.H.: Stopping distance for a robot approaching two conversating persons. In: 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 224–229. IEEE (2017)
Sisbot, E.A., Alami, R., Siméon, T., Dautenhahn, K., Walters, M., Woods, S.: Navigation in the presence of humans. In: 2005 5th IEEE-RAS International Conference on Humanoid Robots, pp. 181–188. IEEE (2005)
Sisbot, E.A., Marin-Urias, L.F., Alami, R., Simeon, T.: A human aware mobile robot motion planner. IEEE Trans. Robot. 23(5), 874–883 (2007)
Torta, E., Cuijpers, R.H., Juola, J.F.: Design of a parametric model of personal space for robotic social navigation. Int. J. Soc. Robot. 5(3), 357–365 (2013)
Walters, M.L., et al.: The influence of subjects’ personality traits on personal spatial zones in a human-robot interaction experiment. In: IEEE International Workshop on Robot and Human Interactive Communication, ROMAN 2005, pp. 347–352. IEEE (2005)
Walters, M.L., Dautenhahn, K., Te Boekhorst, R., Koay, K.L., Syrdal, D.S., Nehaniv, C.L.: An empirical framework for human-robot proxemics. In: Proceedings of New Frontiers in Human-Robot Interaction (2009)
Zanlungo, F., Yücel, Z., Ferreri, F., Even, J., Saiki, L.Y.M., Kanda, T.: Social group motion in robots. In: Kheddar, A., et al. (eds.) ICSR 2017. LNCS, vol. 10652, pp. 474–484. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70022-9_47
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Neggers, M.M.E., Cuijpers, R.H., Ruijten, P.A.M. (2018). Comfortable Passing Distances for 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_42
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DOI: https://doi.org/10.1007/978-3-030-05204-1_42
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