Objective
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
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Call for proposal
ARTEMIS-2012-1
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Coordinator
26121 Oldenburg
Germany
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Participants (31)
28037 Madrid
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2312 NR Leiden
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602 00 BRNO STRED
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63743 ASCHAFFENBURG
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NP10 8FZ NEWPORT GWENT
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10043 Orbassano
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78000 VERSAILLES SATORY
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51147 Koln
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82024 Taufkirchen
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31700 BLAGNAC
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WC2R 0AP London
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31400 Toulouse
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Participation ended
85077 Manching
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12555 Berlin
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148 00 Praha
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22143 Hamburg
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77447 MARNE LA VALLEE CEDEX 2
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28232 Rozas De Madrid
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92130 Issy Les Moulineaux
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16138 Genova
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12526 BERLIN
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5684 PC Best
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42100 Reggio nell'Emilia
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80135 Napoli
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20009 DONOSTIA-SAN SEBASTIAN (GIPUZKOA)
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70565 Stuttgart
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3584 CX Utrecht
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10124 Torino
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26129 Oldenburg
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SG1 2AS Stevenage
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