Skip to main content

An Intelligent Operator Support System for Dynamic Positioning

  • Conference paper
  • First Online:
Advances in Human Factors in Energy: Oil, Gas, Nuclear and Electric Power Industries (AHFE 2017)

Abstract

This paper proposes a human-centered approach to Dynamic Positioning systems which combines multiple technologies in an intelligent operator support system (IOSS). IOSS allows the operator to be roaming and do other tasks in quiet conditions. When conditions become more demanding, the IOSS calls the operator to return to his bridge position. In particular, attention is paid to human factors issues such as trust misalignment, and context-aware interfaces.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.apple.com/ios/siri/.

  2. 2.

    https://madeby.google.com/home/.

  3. 3.

    https://www.drools.org/.

  4. 4.

    Human Enhancement by Maritime Adaptive Automation, TNO, https://youtu.be/MH0Vj-rChrM.

References

  1. Bainbridge, L.: Ironies of automation. Automatica 19(6), 775–779 (1983)

    Article  Google Scholar 

  2. Klein, G., Woods, D.D., Bradshaw, J.M., Hoffman, R.R., Feltovich, P.J.: Ten challenges for making automation a “team player” in joint human-agent activity. IEEE Intell. Syst. 19(6), 91–95 (2004)

    Article  Google Scholar 

  3. Neerincx, M.A., Lindenberg, J.: Situated cognitive engineering for complex task environments. In: Schraagen, J.M., Militello, L.G., Ormerod, T., Lipshitz, R. (eds.) Naturalistic Decision Making and Macrocognition, pp. 373–389. Ashgate Publishing Limited, Aldershot (2008)

    Google Scholar 

  4. Endsley, M.R.: From here to autonomy: lessons learned from human–automation research. Hum. Factors (2016). doi:10.1177/0018720816681350

  5. Sarter, N.B., Woods, D.D.: How in the world did we ever get into that mode? Mode error and awareness in supervisory control. Hum. Factors 37(1), 5–19 (1995)

    Article  Google Scholar 

  6. Kaber, D.B., Endsley, M.R.: Out-of-the-loop performance problems and the use of intermediate levels of automation for improved control system functioning and safety. Process Saf. Prog. 16(3), 126–131 (1997)

    Article  Google Scholar 

  7. 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 

  8. Bullemer, P.T., Tolsma, M., Reising, D.V.C., Laberge, J.C.: Towards improving operator alarm flood responses: alternative alarm presentation techniques. Abnormal Situation Management Consortium (2011)

    Google Scholar 

  9. van Diggelen, J., Grootjen, M., Ubink, E.M., van Zomeren, M., Smets, N.J.: Content-based design and implementation of ambient intelligence applications. In: van Berlo, A., Hallenborg, K., Rodríguez, J., Tapia, D., Novais, P. (eds.) Ambient Intelligence-Software and Applications, pp. 1–8. Springer International Publishing, Heidelberg (2013)

    Chapter  Google Scholar 

  10. Lee, H.G.: A study on predictive analytics application to ship machinery maintenance. Doctoral dissertation, Naval Postgraduate School, Monterey, California (2013)

    Google Scholar 

  11. Singh, H., Bhatia, J.S., Kaur, J.: Eye tracking based driver fatigue monitoring and warning system. In: 2010 India International Conference on Power Electronics (IICPE), pp. 1–6. IEEE, January 2011

    Google Scholar 

  12. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)

    Article  MATH  Google Scholar 

  13. Bradshaw, J.M., Feltovich, P., Johnson, M., Breedy, M., Bunch, L., Eskridge, T., Jung, H., Lott, J., Uszok, A., Diggelen, J.: From tools to teammates: joint activity in human-agent-robot teams. In: Kurosu, M. (ed.) Human Centered Design, pp. 935–944. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  14. Guarino, N.: Formal ontology, conceptual analysis and knowledge representation. Int. J. Hum. Comput. Stud. 43(5–6), 625–640 (1995)

    Article  Google Scholar 

  15. van Diggelen, J., van Drimmelen, K., Heuvelink, A., Kerbusch, P.J., Neerincx, M.A., van Trijp, S., van der Vecht, B.: Mutual empowerment in mobile soldier support. J. Battlefield Technol. 15(1), 11 (2012)

    Google Scholar 

  16. Arciszewski, H.F., De Greef, T.E., Van Delft, J.H.: Adaptive automation in a naval combat management system. IEEE Trans. Syst. Man Cybern.-Part A: Syst. Hum. 39(6), 1188–1199 (2009)

    Article  Google Scholar 

  17. ANSI/ISA–18.2–2009: Management of Alarm Systems for the Process Industries (2009). http://ipi.ir/standard/STANDS/ISA/18.2.pdf

  18. Van Lent, M., Fisher, W., Mancuso, M.: An explainable artificial intelligence system for small-unit tactical behavior. In: Proceedings of the National Conference on Artificial Intelligence, pp. 900–907. AAAI Press/MIT Press, Menlo Park/Cambridge/London, July 2004

    Google Scholar 

  19. Neerincx, M.A., Diggelen, J., Breda, L.: Interaction design patterns for adaptive human-agent-robot teamwork in high-risk domains. In: Harris, D. (ed.) Engineering Psychology and Cognitive Ergonomics, pp. 211–220. Springer, Cham (2016)

    Google Scholar 

  20. Wooldridge, M., Jennings, N.R.: Intelligent agents: theory and practice. knowl. Eng. Rev. 10(02), 115–152 (1995)

    Article  Google Scholar 

  21. Bunch, L., Breedy, M., Bradshaw, J.M., Carvalho, M., Danks, D., Suri, N.: Flexible automated monitoring and notification for complex processes using KARMEN. In: 2005 Proceedings of IEEE Networking, Sensing and Control, pp. 443–448. IEEE, March 2005

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jurriaan van Diggelen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

van Diggelen, J., van den Broek, H., Schraagen, J.M., van der Waa, J. (2018). An Intelligent Operator Support System for Dynamic Positioning. In: Fechtelkotter, P., Legatt, M. (eds) Advances in Human Factors in Energy: Oil, Gas, Nuclear and Electric Power Industries. AHFE 2017. Advances in Intelligent Systems and Computing, vol 599. Springer, Cham. https://doi.org/10.1007/978-3-319-60204-2_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60204-2_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60203-5

  • Online ISBN: 978-3-319-60204-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics