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Investigating the Effects of Social Interactive Behaviours of a Robot on People’s Trust During a Navigation Task

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Towards Autonomous Robotic Systems (TAROS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11649))

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Abstract

Identifying the roles and the specific social behaviours that evoke human trust towards robots is key for user acceptance. Specially, while performing tasks in the real world, such as navigation or guidance, the predictability of robot motion and predictions of user intentions facilitate interaction. We present a user study in which a humanoid-robot guided participants around a human populated environment, avoiding collisions while following a socially acceptable trajectory. We investigated which behaviours performed by a humanoid robot during a guidance task exhibited better social acceptance by people, and how robot behaviours influence their trust in a robot to safely complete a guiding task. We concluded that in general, people prefer and trust a robot that exhibits social behaviours such as talking and maintaining an appropriate safe distance from obstacles.

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References

  1. Bainbridge, W.A., Hart, J.W., Kim, E.S., Scassellati, B.: The benefits of interactions with physically present robots over video-displayed agents. Int. J. Soc. Robot. 3(1), 41–52 (2011)

    Article  Google Scholar 

  2. Bartneck, C., Kulić, D., Croft, E., Zoghbi, S.: Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. Int. J. Soc. Robot. 1(1), 71–81 (2009)

    Article  Google Scholar 

  3. Bethel, C., Murphy, R.: Survey of non-facial/non-verbal affective expressions for appearance-constrained robots. Syst. Man Cybern. Part C (Appl. Rev.) 38(1), 83–92 (2008)

    Article  Google Scholar 

  4. Breazeal, C., Dautenhahn, K., Kanda, T.: Social Robotics, pp. 1935–1972. Springer, Cham (2016)

    Google Scholar 

  5. Burgard, W., et al.: Experiences with an interactive museum tour-guide robot. Artif. Intell. 114(1–2), 3–55 (1999)

    Article  Google Scholar 

  6. Dautenhahn, K., Woods, S., Kaouri, C., Walters, M., Koay, K., Werry, I.: What is a robot companion - friend, assistant or butler? pp. 1488–1493 (2005)

    Google Scholar 

  7. Dautenhahn, K.: Roles and functions of robots in human society: implications from research in autism therapy. Robotica 21(4), 443–452 (2003)

    Article  Google Scholar 

  8. Dautenhahn, K., Campbell, A., Syrdal, D.S.: Does anyone want to talk to me?: Reflections on the use of assistance and companion robots in care homes. In: Proceedings of 4th International Symposium on New Frontiers in Human-Robot Interaction. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB) (2015)

    Google Scholar 

  9. Desai, M., Kaniarasu, P., Medvedev, M., Steinfeld, A., Yanco, H.: Impact of robot failures and feedback on real-time trust. In: Proceedings of the 8th ACM/IEEE International Conference on Human-Robot Interaction, pp. 251–258. IEEE Press (2013)

    Google Scholar 

  10. Deutsch, M.: Trust and suspicion. J. Conflict Resolut. 2(4), 265–279 (1958)

    Article  Google Scholar 

  11. Feil-Seifer, D., Matarić, M.: People-aware navigation for goal-oriented behavior involving a human partner. In: 2011 IEEE International Conference on Development and Learning (ICDL), vol. 2, pp. 1–6. IEEE (2011)

    Google Scholar 

  12. Ferrer, G., Garrell, A., Sanfeliu, A.: Robot companion: a social-force based approach with human awareness-navigation in crowded environments. In: 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1688–1694. IEEE (2013)

    Google Scholar 

  13. Fiore, M., Khambhaita, H., Milliez, G., Alami, R.: An adaptive and proactive human-aware robot guide. Social Robotics. LNCS (LNAI), vol. 9388, pp. 194–203. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25554-5_20

    Chapter  Google Scholar 

  14. Fong, T., Nourbakhsh, I., Dautenhahn, K.: A survey of socially interactive robots. Robot. Auton. Syst. 42(3–4), 143–166 (2003)

    Article  Google Scholar 

  15. Freedy, A., DeVisser, E., Weltman, G., Coeyman, N.: Measurement of trust in human-robot collaboration. In: International Symposium on Collaborative Technologies and Systems, 2007. CTS 2007, pp. 106–114. IEEE (2007)

    Google Scholar 

  16. de Graaf, M., Malle, B.F.: People’s judgments of human and robot behaviors: A robust set of behaviors and some discrepancies. In: Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, pp. 97–98. ACM (2018)

    Google Scholar 

  17. de Graaf, M.M., Ben Allouch, S., van Dijk, J.A.: Why would I use this in my home? A model of domestic social robot acceptance. Hum.-Comput. Interact. 34(2), 115–173 (2019)

    Article  Google Scholar 

  18. Hancock, P.A., Billings, D.R., Schaefer, K.E., Chen, J.Y., De Visser, E.J., Parasuraman, R.: A meta-analysis of factors affecting trust in human-robot interaction. Hum. Factors 53(5), 517–527 (2011)

    Article  Google Scholar 

  19. Kirby, R., Simmons, R., Forlizzi, J.: Companion: a constraint optimizing method for person-acceptable navigation. In: IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 607–612, September 2009

    Google Scholar 

  20. Koay, K.L., Syrdal, D.S., Walters, M.L., Dautenhahn, K.: Living with robots: investigating the habituation effect in participants’ preferences during a longitudinal human-robot interaction study. In: Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, pp. 564–569 (2007)

    Google Scholar 

  21. 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

    Chapter  Google Scholar 

  22. Lee, J.D., See, K.A.: Trust in automation: designing for appropriate reliance. Hum. Factors: J. Hum. Factors Ergon. Soc. 46(1), 50–80 (2004)

    Article  Google Scholar 

  23. Ljungblad, S., Kotrbova, J., Jacobsson, M., Cramer, H., Niechwiadowicz, K.: Hospital robot at work: Something alien or an intelligent colleague? In: Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work, CSCW 2012, pp. 177–186. ACM, New York (2012)

    Google Scholar 

  24. Mason, E., Nagabandi, A., Steinfeld, A., Bruggeman, C.: Trust during robot-assisted navigation. In: 2013 AAAI Spring Symposium Series (2013)

    Google Scholar 

  25. Mitka, E., Gasteratos, A., Kyriakoulis, N., Mouroutsos, S.G.: Safety certification requirements for domestic robots. Safety Sci. 50(9), 1888–1897 (2012)

    Article  Google Scholar 

  26. Mumm, J., Mutlu, B.: Human-robot proxemics: physical and psychological distancing in human-robot interaction. In: Proceedings of the 6th International Conference on Human-Robot Interaction, pp. 331–338. ACM (2011)

    Google Scholar 

  27. Myers, C.D., Tingley, D.: The influence of emotion on trust. Polit. Anal. 24(4), 492–500 (2017). https://doi.org/10.1093/pan/mpw026

    Article  Google Scholar 

  28. Pacchierotti, E., Christensen, H.I., Jensfelt, P.: Design of an office-guide robot for social interaction studies. In: 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4965–4970. IEEE (2006)

    Google Scholar 

  29. Pacchierotti, E., Christensen, H.I., Jensfelt, P.: Embodied social interaction for service robots in hallway environments. In: Corke, P., Sukkariah, S. (eds.) Field and Service Robotics. STAR, vol. 25, pp. 293–304. Springer, Berlin (2006). https://doi.org/10.1007/978-3-540-33453-8_25

    Chapter  Google Scholar 

  30. Pandey, A., Gelin, R.: A mass-produced sociable humanoid robot: pepper: the first machine of its kind. In: IEEE Robotics Automation Magazine, p. 1 (2018)

    Google Scholar 

  31. 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)

    Article  Google Scholar 

  32. Rossi, A., Dautenhahn, K., Koay, K., Walters, M.L.: The impact of peoples’ personal dispositions and personalities on their trust of robots in an emergency scenario 9(1), 137–154 (2018). https://doi.org/10.1515/pjbr-2018-0010

  33. Rossi, A., Dautenhahn, K., Koay, K.L., Saunders, J.: Investigating human perceptions of trust in robots for safe HRI in home environments. In: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction HRI 2017, pp. 375–376. ACM, New York (2017)

    Google Scholar 

  34. Salem, M., Lakatos, G., Amirabdollahian, F., Dautenhahn, K.: Would you trust a (faulty) robot? Effects of error, task type and personality on human-robot cooperation and trust. In: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, pp. 141–148. ACM (2015)

    Google Scholar 

  35. Sarkar, S., Araiza-Illan, D., Eder, K.: Effects of faults, experience, and personality on trust in a robot co-worker. arXiv preprint arXiv:1703.02335 (2017)

  36. Wang, N., Pynadath, D.V., Hill, S.G., Ground, A.P.: Building trust in a human-robot team with automatically generated explanations. In: Proceedings of the Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), vol. 15315, pp. 1–12 (2015)

    Google Scholar 

  37. Wang, Y., Humphrey, L.R., Liao, Z., Zheng, H.: Trust-based multi-robot symbolic motion planning with a human-in-the-loop. arXiv preprint arXiv:1808.05120 (2018)

  38. Youakim, D., Ridao, P.: Motion planning survey for autonomous mobile manipulators underwater manipulator case study. Robot. Auton. Syst. 107, 20–44 (2018)

    Article  Google Scholar 

  39. Yu, K., Berkovsky, S., Taib, R., Conway, D., Zhou, J., Chen, F.: User trust dynamics: an investigation driven by differences in system performance, vol. 126745, pp. 307–317. ACM (2017)

    Google Scholar 

  40. Zhang, B., Nakamura, T., Kaneko, M.: A framework for adaptive motion control of autonomous sociable guide robot. IEEJ Trans. Electr. Electron. Eng. 11(6), 786–795 (2016)

    Article  Google Scholar 

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Acknowledgment

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642667 (Safety Enables Cooperation in Uncertain Robotic Environments - SECURE) and the Industrial Leadership Agreement (ICT) No. 779942 (Safe Robot Navigation in Dense Crowds - CROWDBOT).

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Authors and Affiliations

  1. University of Hertfordshire, College Lane, Hatfield, UK

    Alessandra Rossi, Kerstin Dautenhahn, Kheng Lee Koay & Michael L. Walters

  2. SoftBank Robotics Europe, Paris, France

    Fernando Garcia, Arturo Cruz Maya & Amit K. Pandey

  3. University of Waterloo, Waterloo, ON, Canada

    Kerstin Dautenhahn

Authors
  1. Alessandra Rossi
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  2. Fernando Garcia
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  3. Arturo Cruz Maya
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  4. Kerstin Dautenhahn
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  5. Kheng Lee Koay
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  6. Michael L. Walters
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  7. Amit K. Pandey
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Corresponding author

Correspondence to Alessandra Rossi .

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Editors and Affiliations

  1. Queen Mary University of London, London, UK

    Kaspar Althoefer

  2. Queen Mary University of London, London, UK

    Jelizaveta Konstantinova

  3. Queen Mary University of London, London, UK

    Ketao Zhang

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Rossi, A. et al. (2019). Investigating the Effects of Social Interactive Behaviours of a Robot on People’s Trust During a Navigation Task. In: Althoefer, K., Konstantinova, J., Zhang, K. (eds) Towards Autonomous Robotic Systems. TAROS 2019. Lecture Notes in Computer Science(), vol 11649. Springer, Cham. https://doi.org/10.1007/978-3-030-23807-0_29

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  • DOI: https://doi.org/10.1007/978-3-030-23807-0_29

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-23807-0

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