Designing a Control and Visualization System for Off-Highway Machinery According to the Adaptive Automation Paradigm

  • Stefano Marzani
  • Francesco Tesauri
  • Luca Minin
  • Roberto Montanari
  • Caterina Calefato
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5638)


This paper aims at describing the requirements of an off-highway human-machine system able to recognize potential risky situations and consequently prevent them. The developed methodology is based on two techniques derived from the field of human factors studies, namely the Hierarchical Task Analysis (HTA) and the Function Allocation (FA), which have been integrated and revised to suit the specific domain of off-highway machinery. The paradigms of adaptive automation and persuasive technology will be followed in the design process. After the off-highway domain analysis a system aiming at improving operator and machine safety is presented. The information system extends the human intelligence monitoring the stability of the machine.


Adaptive Automation Collision Function Allocation Human-Machine Interaction Hierarchical Task Analysis Off-Highway Vehicles Overun Rollover Runover Safety Tractors 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Stefano Marzani
    • 1
  • Francesco Tesauri
    • 1
  • Luca Minin
    • 1
  • Roberto Montanari
    • 1
  • Caterina Calefato
    • 2
  1. 1.HMI GroupUniversity of Modena and Reggio EmiliaReggio EmiliaItaly
  2. 2.Department of Computer ScienceUniversity of TurinTurinItaly

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