Holistic Human Factors and System Design of Adaptive Cooperative Human Machine S...
Holistic Human Factors and System Design of Adaptive Cooperative Human Machine Systems
HoliDes addresses development and qualification of Adaptive Cooperative Human-Machine Sys-tems (AdCoS) where many humans and many machines act together, cooperatively, in a highly adaptive way. They adapt to each other and to the...
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30/09/2016
OFFIS EV
23M€
Presupuesto del proyecto: 23M€
Líder del proyecto
OFFIS EV
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Fecha límite participación
Sin fecha límite de participación.
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Información proyecto HOLIDES
Líder del proyecto
OFFIS EV
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Presupuesto del proyecto
23M€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
HoliDes addresses development and qualification of Adaptive Cooperative Human-Machine Sys-tems (AdCoS) where many humans and many machines act together, cooperatively, in a highly adaptive way. They adapt to each other and to the context to guarantee fluent and cooperative task achievement. Such systems with higher levels of automation are urgently needed to enhance safety and to increase the confidence of human operators. However, adaptiveness in Cooperative Human-Machine Systems on the Health, Aeronautics, Control Rooms and Automotive market is still sadly limited. The development and especially the qualification and certification of AdCoS in-volving several interactive Embedded Systems are not yet well-mastered in industrial develop-ment. The lack of adequate means of compliance with human factors and safety regulations may force the designers to simplify systems in order to make them certifiable. This clearly compromises the huge potential AdCoS could have on increasing overall safety. In order to unleash this potential HoliDes will research affordable means of compliance which enable to formalize adaptation strategies on global many humans - many machines levels and local HMI levels in a coordinated way. This will be achieved by developing techniques & tools on 5 research dimensions: (1) automated AdCoS re-configuration based on e.g. real-time predictive human models; (2) holistic formal (human & machine) modelling and accelerated analysis; (3) new empirical task, exploration and validation analyses of AdCoS; (4) a formalized synergetic empirical and model-based methodology; (5) integration of all techniques & tools in a Human Factors Reference Technology Platform (HF-RTP) to foster interoperability and to support human factors along the whole engineering life-cycle. The HF-RTP will be closely connected to the technically oriented CESAR RTP to enable holistic development & qualification from both perspectives human factors and technical systems design.
APPROVED BY ECSEL-JU 12/09/2016