@article{ref1,
title="Modelling motivations, tasks and human errors in a risk-based perspective",
journal="Cognition, technology and work",
year="2012",
author="Cacciabue, P. C. and Cassani, M.",
volume="14",
number="3",
pages="229-241",
abstract="This paper discusses the modelling architectures of human-machine interaction (HMI) and the human error models implemented to support design and safety assessment of modern highly automated systems. In particular, the architecture of a joint cognitive model, which accounts for motivational and descriptive aspects and enables to predict dynamic HMI, is revised in detail, on the basis of a previously formulated paradigm of a causal structure of categories of human model (Carsten 2007). Then, an error generation model is associated with this human model architecture and can be utilised in risk-based design methodologies. These approaches share a common crucial issue, that is, the need of specific data and empirical correlations obtained from field observations and from reports of end-users. Ways and means to overcome this important bottleneck reside primarily in the improvement of the safety culture at society and organisation level.<p /><p>Language: en</p>",
language="en",
issn="1435-5558",
doi="10.1007/s10111-011-0205-4",
url="http://dx.doi.org/10.1007/s10111-011-0205-4"
}