Study on the comfort of people in spatial interactions with a social robot

  • Fagner de Assis Moura Pimentel Centro Universitário FEI
  • Plinio Thomaz Aquino-Jr Centro Universitário FEI

Resumo


In this work, it was verified how spatial interaction affects human comfort through experiments in simulated and real environments with 20 volunteers in everyday situations. Interactions were observed taking into account a non-social and a social behavior of the robot. Metrics were used to assess task completeness, occurrence of collisions, invasion of interaction space, spatial and temporal coefficients in robot navigation, in addition to respect for proxemics, verification of movement smoothness and questionnaires to assess the comfort of the volunteers. The study concludes that the social navigation proposed in this work manages to deal with social interactions in a satisfactory way for humans and aspects such as noise produced by the robot and familiarity with the robot’s behavior have great influence on user comfort.

Palavras-chave: Human-Robot Interaction (HRI), Spacial interaction, Social navigation, Comfort

Referências

Breazeal, C. L. (2002). Designing sociable robots. MIT press.

Hall, E. T. (1910). The hidden dimension, volume 609. Garden City, NY: Doubleday.

Kruse, T., Pandey, A. K., Alami, R., and Kirsch, A. (2013). Human-aware robot navigation: A survey. Robotics and Autonomous Systems, 61(12):1726-1743.

Lu, D. V., Hershberger, D., and Smart, W. D. (2014). Layered costmaps for context-sensitive navigation. In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 709-715. IEEE.

Macenski, S., Martín, F., White, R., and Clavero, J. G. (2020). The marathon 2: A navigation system. arXiv preprint arXiv:2003.00368.

Mead, R. and Matarić, M. J. (2016). Perceptual models of human-robot proxemics. In Experimental Robotics, pages 261-276. Springer.

Pimentel, F. d. A. M. and Aquino-Jr, P. T. (2021). Evaluation of ros navigation stack for social navigation in simulated environments. Journal of Intelligent & Robotic Systems, 102(4):1-18.

Truong, X. T. and Ngo, T. D. (2016). Dynamic social zone based mobile robot navigation for human comfortable safety in social environments. INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS.

Truong, X. T. and Ngo, T. D. (2017a). Toward socially aware robot navigation in dynamic and crowded environments: A proactive social motion model. IEEE Transactions on Automation Science and Engineering.

Truong, X.-T. and Ngo, T.-D. (2017b). "to approach humans?": A unified framework for approaching pose prediction and socially aware robot navigation. IEEE Transactions on Cognitive and Developmental Systems, 10(3):557-572.

Truong, X. T. and Ngo, T. D. (2018). "to approach humans?": A unified framework for approaching pose prediction and socially aware robot navigation. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS.

Truong, X. T., Yoong, V. N., and Ngo, T. D. (2017). Socially aware robot navigation system in human interactive environments. INTELLIGENT SERVICE ROBOTICS.
Publicado
18/10/2022
PIMENTEL, Fagner de Assis Moura; AQUINO-JR, Plinio Thomaz. Study on the comfort of people in spatial interactions with a social robot. In: WORKSHOP DE TESES E DISSERTAÇÕES EM ROBÓTICA - WTDR - SIMPÓSIO BRASILEIRO DE ROBÓTICA E SIMPÓSIO LATINO-AMERICANO DE ROBÓTICA (SBR/LARS), 14. , 2022, São Bernardo do Campo/SP. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 13-24. DOI: https://doi.org/10.5753/wtdr_ctdr.2022.227298.