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Human-Automation Interaction Through Shared and Traded Control Applications

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1131)


Automated and Highly-automated Vehicles still need to interact with the driver at different cognitive levels. Those who are SAE Level 1 or 2 consider the human in the loop all the time and require strong participation of the driver at the control level. To increase safety, trust and comfort of the driver with this kind of automation, systems with a strong cooperative component are needed. This paper introduces the design of a vehicle controller based on shared control, together with an arbitration system, and the design of a Human-Machine Interface (HMI) to foster the mutual understanding between driver and automation in a lane-keeping task. The driver-automation cooperation is achieved through incremental support, in a continuum spectrum from manual to full automation. Additionally, the design of an HMI to support the driver in a takeover maneuver is presented. This functionality is a key component of vehicles SAE Level 3 and 4.


  • Human-machine interface
  • Automated driving
  • Highly automated vehicles
  • Shared control
  • Traded control
  • Driver-automation cooperation

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  • DOI: 10.1007/978-3-030-39512-4_101
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  1. Brown, B., Laurier, E.: The trouble with autopilots: assisted and autonomous driving on the social road. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM (2017)

    Google Scholar 

  2. Marchant, G.E., Lindor, R.A.: The coming collision between autonomous vehicles and the liability system. Santa Clara L. Rev. 52, 1321 (2012)

    Google Scholar 

  3. Sheridan, T.B., Verplank, W.L.: Human and computer control of undersea teleoperators. Massachusetts Inst of Tech Cambridge Man-Machine Systems Lab (1978)

    Google Scholar 

  4. Ju, W.: The design of implicit interactions. Synth. Lect. Hum.-Centered Inf. 8(2), 1–93 (2015)

    CrossRef  Google Scholar 

  5. Druml, N., Macher, G., Stolz, M., Armengaud, E., Watzenig, D., Steger, C., Herndl, T., Eckel, A., Ryabokon, A., Hoess, A., Kumar, S.: PRYSTINE-PRogrammable sYSTems for INtelligence in automobilEs. In: 2018 21st Euromicro Conference on Digital System Design (DSD), pp. 618–626. IEEE, August 2018

    Google Scholar 

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PRYSTINE has received funding within the Electronic Components and Systems for European Leadership Joint Undertaking (ECSEL JU) in collaboration with the European Union’s H2020 Framework Programme and National Authorities, under grant.

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Correspondence to Mauricio Marcano .

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Marcano, M. et al. (2020). Human-Automation Interaction Through Shared and Traded Control Applications. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham.

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