Title: Behavioural Adaptations and Modelling Drivers Performance with Advanced Automation Systems
Authors: CACCIABUE PietroSAAD Farida
Citation: Proceedings of Human Computer International 2005, U.S. CD
Publisher: Lawrence Erlbaum Associates
Publication Year: 2006
JRC Publication N°: JRC31955
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC31955
Type: Contributions to Conferences
Abstract: Modelling the interaction between drivers and vehicles in the presence of changing environmental conditions, inside and outside the same, has become a must for improving the design of adaptive driver support and information systems. Modelling human behaviour in different technological domain has been studied and developed for many years and, nowadays, the existing paradigms enable a consistent and robust representation of the way in which human-machine interaction takes place. A critical aspect of human behaviour modelling is associated with the identification of parameters and indicators that characterize behaviour in dynamic conditions. The number of these parameters can be very high. However, this aspect clashes with the essential requirement of design and safety assessment that models enable the performance of many simulations covering a wide variety of traffic and driving situations. Moreover, the adaptive behaviour of drivers to their vehicle performance and, in particular, to the support and information systems present on board, further complicates the identification of such critical parameters. For this reason, within the European Project called AIDE (Adaptive Integrated Driver-vehicle InterfacE) that aims at the integration in a harmonised interface of all in-vehicle support and information systems, a specific research activity has been dedicated to the identification of crucial behavioural adaptation aspects. In this paper, we describe the state of the art of this research and we discuss the ongoing activity associated with the performance of experimental work on behavioural adaptation and the identification of the most relevant parameters that can be implemented in models supporting design and safety assessment.
JRC Institute:Institute for the Protection and Security of the Citizen

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