Towards a Human-Centred Reference Architecture for Next Generation Balanced Automation Systems: Human-Automation Symbiosis

  • David RomeroEmail author
  • Ovidiu Noran
  • Johan Stahre
  • Peter Bernus
  • Åsa Fast-Berglund
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 460)


Human-centricity in manufacturing is becoming an essential enabler to achieve social sustainable manufacturing. In particular, human-centric automation can offer new means to increase competitiveness in the face of new social challenges for the factories of the future. This paper proposes a Human-Centred Reference Architecture that can structure and guide efforts to engineer Next Generation Balanced Automation Systems featuring adaptive automation that take into account various criteria in the operating environment such as time-lapse, performance degradation, age-, disability- and inexperience-related limitations of operators to increase their working capabilities.


Balanced automation systems Human-Centred manufacturing Reference architecture Level of automation Social sustainability 


  1. 1.
    European Factories of the Future Research Association (EFFRA) Roadmap 2020Google Scholar
  2. 2.
    Rosenbrock, H.H.: Machines With a Purpose. Oxford University Press, Oxford (1990)Google Scholar
  3. 3.
    Tzafestas, S.: Concerning human-automation symbiosis in the society and the nature. Int. J. Factory Autom. Rob. Soft Comput. 3, 16–24 (2006)Google Scholar
  4. 4.
    Ohno, T.: Toyota Production System. Productivity Press, Cambridge (1988)Google Scholar
  5. 5.
    Williams, T.J.: PERA and GERAM: establishment of the place of the human in enterprise integration. In: Proceedings of the 14th International Federation of Automatic Control (IFAC) World Congress, Beijing, China (1999)Google Scholar
  6. 6.
    ISO 14258: Industrial automation systems: concepts and rules for enterprise models (2005)Google Scholar
  7. 7.
    Hancock, P.A., Chignell, M.H.: Adaptive control in human-machine systems. In: Hancock, P.A. (ed.) Human Factors Psychology, pp. 305–345. Elsevier, North Holland (1987)CrossRefGoogle Scholar
  8. 8.
    Hancock, P.A., Jagacinski, R.J., Parasuraman, R., Wickens, C.D., Wilson G.F., Kaber, D.B.: Human-automation interaction research: past, present and future. Ergon. Des.: Q. Hum. Factors Appl. 21(2), 9–14 (2013)Google Scholar
  9. 9.
    Litting, B., Griessler, E.: Social sustainability: a catchword between political pragmatism and social theory. Int. J. Sustain. Dev. 8(1), 65–79 (2005)CrossRefGoogle Scholar
  10. 10.
    Kay, M.: Adaptive automation accelerates process development. Bioprocess Int. 4(4), 70–78 (2006)Google Scholar
  11. 11.
    Calefato, C., Montanari, R., Tesauri, F.: The adaptive automation design. human computer interaction: new developments. In: Asai, K. (ed.) InTech, pp. 141–154 (2008)Google Scholar
  12. 12.
    Fasth-Berglund, Å., Stahre, J.: Cognitive automation strategy - for reconfigurable and sustainable assembly systems. Assembly Autom. 33(3), 294–303 (2013)CrossRefGoogle Scholar
  13. 13.
    Sheridan, T., Parasuraman, R.: Human-automation interaction. Hum. Factors Ergon. 1(1), 89–129 (2006)CrossRefGoogle Scholar
  14. 14.
    Willson, G.F., Russel, C.A.: Performance enhancement in a UAV task using psycho-physiologically determined adaptive aiding. Hum. Factors 49(6), 1005–1019 (2007)CrossRefGoogle Scholar
  15. 15.
    Endsley, M.: Toward a theory of situation awareness in dynamic systems. Hum. Factors Hum. Factors Ergon. Soc. 37(1), 32–64 (1995)CrossRefGoogle Scholar
  16. 16.
    Kaber, D.B., Riley, J.M., Tan, K., Endsley, M.R.: On the design of adaptive automation for complex systems. Int. J. Cogn. Ergon. 5(1), 37–57 (2001)CrossRefGoogle Scholar
  17. 17.
  18. 18.
    Pava, C.: Managing New Office Technology. An Organisational Strategy. Free Press, New York (1983)Google Scholar
  19. 19.
    McGregor, D.: The Human Side of Enterprise. McGraw-Hill, New York (1960)Google Scholar
  20. 20.
    Iivari, J.: A paradigmatic analysis of contemporary schools of IS development. Eur. J. Inf. Syst. 1(4), 249–272 (1991)CrossRefGoogle Scholar
  21. 21.
    Markus, M.L.: Power, politics, and MIS implementation. Commun. ACM 26(6), 430–444 (1983)CrossRefGoogle Scholar
  22. 22.
    Li, H., Williams, T.J.: A formalization and extension of the Purdue enterprise reference architecture and the Purdue methodology (Report 158). West Lafayette, Indiana, Purdue Laboratory for Applied Industrial Control (1994)Google Scholar
  23. 23.
    Charles T., Charles R., Roulstone, A.: Prospects and conditions for anthropocentric production systems in Britain. APS-Research Papers Series, vol. 8, Commission of the European Communities, Bruxelles (1990)Google Scholar
  24. 24.
    May, G., Taisch, M., Bettoni, A., Maghazei, O., Matarazzo, A., Stahl, B.: A new human-centric factory model. In: 12th Global Conference on Sustainable Manufacturing, Procedia CIRP (2014)Google Scholar
  25. 25.
    Fasth-Berglund, Å., Stahre, J.: Task allocation in production systems - measuring and analysing levels of automation. Anal. Des. Eval. Hum. Mach. Syst. 12(1), 435–441 (2013)Google Scholar
  26. 26.
    Bailey, R.W.: Human Performance Engineering, 2nd edn. Prentice-Hall International, London (1996)Google Scholar
  27. 27.
    Inagaki, T.: Adaptive automation: sharing and trading of control. In: Hollnagel, E. (ed.) Chapter 8 - Handbook of Cognitive Task Design, pp. 147–169. LEA (2003)Google Scholar
  28. 28.
    National Institute of Aerospace (US): Listing of human-automation interaction requirements (2015). - pp. 100–104 (2010)
  29. 29.
    Scerbo, M.: Adaptive Automation. Neuroergonomics: The Brain at Work, pp. 239–252 (2001)Google Scholar
  30. 30.
    Fast-Berglund, Å., Blom, E.: Developing flexible ICT-tools for education and assembly support. In: 5th International Conference of Applied Human Factors and Ergonomics, Krakow, Poland (2013)Google Scholar
  31. 31.
    ISO/IEC.: Annex A: GERAM. ISO/IS 15704:2000/Amd1:2005: industrial automation systems - requirements for enterprise-reference architectures and methodologies (2005)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • David Romero
    • 1
    • 2
    Email author
  • Ovidiu Noran
    • 2
  • Johan Stahre
    • 3
  • Peter Bernus
    • 2
  • Åsa Fast-Berglund
    • 3
  1. 1.Tecnológico de MonterreyMonterreyMexico
  2. 2.Griffith UniversityBrisbaneAustralia
  3. 3.Chalmers University of TechnologyGothenburgSweden

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