HMI Requirements Creation, as the Collaboration Work of Human and Machine in the Safety-Critical System

  • Masao ItoEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 748)


In the safety-critical system, the Human-Machine Interface (HMI) is tightly coupled with system requirements; the functional requirements and the non-functional requirements. As the human has some limitations in his cognitive work, we cannot generate the HMI from the requirements of the complex system in the simplistic way. In this paper, we propose the HMI abstract model from the provisional system requirements, maintaining the simplicity of HMI. We do not intend to create HMI model from the final system requirements but rather traverse the both sides with keeping the safety property. In order to show our idea clearly, we use several examples in the automobile field.


HMI Requirements Safety DESH-G ISO 26262 Driver model 


  1. 1.
    ISO, ISO 26262. Road vehicles - Functional safety -, ISO (2011)Google Scholar
  2. 2.
    Ito, M.: Controllability in ISO 26262 and driver model. In: O’Connor, R.V., Akkaya, M.U., Kemaneci, K., Yilmaz, M., Poth, A., Messnarz, R. (eds.) EuroSPI 2015. CCIS, vol. 543, pp. 313–321. Springer, Cham (2015). doi: 10.1007/978-3-319-24647-5_26 Google Scholar
  3. 3.
    Ito, M.: Finding threats with hazards in the concept phase of product development. In: Barafort, B., O’Connor, R.V., Poth, A., Messnarz, R. (eds.) EuroSPI 2014. CCIS, vol. 425, pp. 277–284. Springer, Heidelberg (2014). doi: 10.1007/978-3-662-43896-1_25 Google Scholar
  4. 4.
    Fuller, R., Santos, J.A.: Psychology and the highway engineer. In: Human Factors for Highway Engineers, pp. 1–10 (2002)Google Scholar
  5. 5.
    van Lamsweerde, A.: Requirements Engineering: From System Goals to UML Models to Software Specifications. Wiley, Chichester (2009)Google Scholar
  6. 6.
    Redmill, F., Chudleigh, M., Catmur, J.: System Safety: HAZOP and Software HAZOP. Wiley, Chichester (1999)Google Scholar
  7. 7.
    Naus, G., et al.: Cooperative adaptive cruise control. In: IEEE Automotive Engineering Symposium, Eindhoven, The Netherlands (2009)Google Scholar
  8. 8.
    Weitkamp, C. (ed.): LIDAR: Range-Resolved Optical Remote Sensing of the Atmosphere, vol. 102. Springer, New York (2006)Google Scholar
  9. 9.
  10. 10.
    Dijkstra, E.W., Buxton, J.N., Randell, B. (eds.) Software Engineering Techniques, Report on a Conference Sponsored by the NATO Science Committee, Rome, Italy, 27–31 October 1969, p. 16 (1970)Google Scholar
  11. 11.
    Ito, M.: How can we deal with the concept phase in the functional safety standard for automobiles? In: Proceedings of Safety-Critical Systems Symposium 2016 (SSS 2016) (2016)Google Scholar
  12. 12.
    Irwin, D.J.: The Industrial Electronics Handbook. CRC Press (1997)Google Scholar
  13. 13.
    Suchman, L.: Human-Machine Reconfigurations: Plans and Situated Actions, pp. 161–162. Cambridge University Press (2007)Google Scholar
  14. 14.
    Philip, J., Hayes, D.: Raj Reddy, Steps toward graceful interaction in spoken and written man–machine communication. Int. J. Man-Mach. Stud. 19(3), 231–284 (1983)CrossRefGoogle Scholar
  15. 15.

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.NIL Software Corp.TokyoJapan

Personalised recommendations