Abstract
Human (or operator) modelling has been an extensive area of research in many application areas, such as artificial intelligence, aviation, probabilistic risk assessments, system safety analysis and human performances in working contexts (Cacciabue et al., 1993; Baron et al., 1980). Still, human behaviour is fairly contextual and substantially different from one person to another. Thus, the initial linear models have been gradually replaced by nonlinear and even probabilistic models, based upon artificial intelligence (AI) principles, such as artificial neural networks or genetic algorithms. This becomes even more intrigued if we consider a complex behavioural task such as vehicle driving.
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Panou, M., Bekiaris, E., Papakostopoulos, V. (2007). Modelling Driver Behaviour in European Union and International Projects. In: Cacciabue, P.C. (eds) Modelling Driver Behaviour in Automotive Environments. Springer, London. https://doi.org/10.1007/978-1-84628-618-6_1
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DOI: https://doi.org/10.1007/978-1-84628-618-6_1
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