Advertisement

Humans and Robots: A New Social Order in Perspective?

  • João Silva SequeiraEmail author
Chapter
Part of the Intelligent Systems, Control and Automation: Science and Engineering book series (ISCA, volume 95)

Abstract

As the number of robots interacting with people grows, it seems natural that some adjustments occur within societies. Though the extent of such adjustments is unclear, the current media frenzy on the effects of technology in societies, with a special emphasis in social robotics, is driving research to account for unexpected scenarios. The adjustments may include changes in the formations of social hierarchies, in which humans must take orders from robots, naturally triggering fears of dominance and convergence to societies operating under new Ethics. The paper adopts a dynamic systems view of social environments identifying stability with social order. The introduction of robots in social environments is likely to change some equilibrium that can be identified with social order. Under relaxed assumptions societies can be represented by networks of non-smooth systems. The paper thesis is that by integrating a robot in a social environment in small steps (under realistic expectations) stability is preserved and hence also the social order. Disturbing social hierarchies may indeed lead to a different equilibrium, that is, to a new social order.

Keywords

Social robotics Social order Dynamic systems Non-smooth systems 

References

  1. 1.
    Ashby H (1979) Being There. Film directed by Hal Ashby, screenplay by Jerzy Kosinski, Robert C. JonesGoogle Scholar
  2. 2.
    Aubin J, Cellina A (1984) Differential inclusions. Springer, BerlinCrossRefGoogle Scholar
  3. 3.
    Bartneck C et al (2010) The influence of robot anthropomorphism on the feelings of embarrassment when interacting with robots. Paladyn J Behav Robot 1, 2:109–115Google Scholar
  4. 4.
    Briggs G, Scheutz M (2017) Why robots must learn to tell us "No". Scientific AmericanGoogle Scholar
  5. 5.
    Burger J (2009) Replicating Milgram: would people still obey today? Am Psychol 64(1):1–11CrossRefGoogle Scholar
  6. 6.
    Cormier D, Newman G, Nakane M, Young J, Durocher S (2013) Placing robots in positions of authority. A human-robot interaction obedience study. University of Manitoba, Canada, Technical reportGoogle Scholar
  7. 7.
    Ferreira I, Sequeira J (2015) Assessing human robot interaction: the role of long-run experiments. In: Proceedings of the 18th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR’15), Hangzhou, China, 6–9 SeptemberGoogle Scholar
  8. 8.
    Hoffman G, Birnbaum G, Vanunu K, Sass O, Reis H (2014) Robot responsiveness to human disclosure affects social impression and appeal. In: Proceedings of the 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI’14), March 3–6, Bielefeld, GermanyGoogle Scholar
  9. 9.
    Kohrs C, Angenstein N, Brechmann A (2016) Delays in human-computer interaction and their effects on brain activity. PLoS ONE 11(1)CrossRefGoogle Scholar
  10. 10.
    Landau H (1968) Models of social structure. Bull Math Biophys 30(2):215–224CrossRefGoogle Scholar
  11. 11.
    Lima C, Sequeira J (2017) Social Environment modeling from Kinect data in robotics applications. In: Proceedings of the International Conference on Computer Human Interaction Research and Applications (CHIRA 2017), Funchal, Madeira, Portugal, October 31–November 2Google Scholar
  12. 12.
    Moniz A, Krings B (2016) Robots working with humans or humans working with robots? searching for social dimensions in new human-robot interaction in industry. Societies 6(23)CrossRefGoogle Scholar
  13. 13.
    Mutlu B, Forlizzi J (2008) Robots in organizations: the role of workflow, social, and environmental factors in human-robot interaction. In: Proceedings of the 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI’08), March 12–15, Amsterdam, The NetherlandsGoogle Scholar
  14. 14.
    Powers S, Rauth C, Henning R, Buck R, West T (2011) The effect of video feedback delay on frustration and emotion communication accuracy. Comput Hum Behav 27:1651–1657CrossRefGoogle Scholar
  15. 15.
    Robinette P, Li W, Allen R, Howard A, Wagner A (2016) Overtrust of robots in emergency evacuation scenarios. In: Proceedings of the 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI’16), Christchurch, New Zealand, 7–10 MarchGoogle Scholar
  16. 16.
    Schneider D (2004) The relevance of models for social anthropology. Rutledge (1965, reprinted)Google Scholar
  17. 17.
    Toumi T, Zidani A (2017) From human-computer interaction to human-robot social interaction. https://arxiv.org/ftp/arxiv/papers/1412/1412.1251.pdf, [Online August 2017]
  18. 18.
    Turnley J, Perls A (2008) What is a computational social model anyway?: A Discussion of Definitions, a consideration of challenges, and an explication of process. Technical report, Defense Threat Reduction Agency, Advanced Systems and Concepts Office, USA, Report Number ASCO 2008-013Google Scholar
  19. 19.
    Wegenmakers R (2016) Social robots. KPMG Management ConsultingGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Instituto Superior Técnico, Institute for Systems and RoboticsUniversity of LisbonLisbonPortugal

Personalised recommendations