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

Authors:
Stefano Marzani;Francesco Tesauri;Luca Minin;Roberto Montanari;Caterina Calefato
Affiliations:
HMI Group, University of Modena and Reggio Emilia, Reggio Emilia, (Italy) 42100;HMI Group, University of Modena and Reggio Emilia, Reggio Emilia, (Italy) 42100;HMI Group, University of Modena and Reggio Emilia, Reggio Emilia, (Italy) 42100;HMI Group, University of Modena and Reggio Emilia, Reggio Emilia, (Italy) 42100;Department of Computer Science, University of Turin, Turin, (Italy) 10149
Venue:
FAC '09 Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009
Year:
2009

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Abstract

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.