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Automated Serious Game Scenario Generator for Mixed Reality Training

Obiettivo

The aim of AUGGMED is to develop a serious game platform to enable single- and team-based training of end-users with different level of expertise from different organisations responding to terrorist and organised crime threats. The platform will automatically generate non-linear scenarios tailored to suit the needs of individual trainees with learning outcomes that will improve the acquisition of emotional management, analytical thinking, problem solving and decision making skills. The game scenarios will include advanced simulations of operational environments, agents, telecommunications and threats, and will be delivered through VR and MR environments with multimodal interfaces. This will result in highly realistic training scenarios allowing advanced interactivity while encouraging security staff and first responders to engage and actively participate in the training process. In addition, the AUGGMED platform will include tools for trainers enabling them to set learning objectives, define scenarios, monitor training sessions, modify scenarios and provide feedback in real-time, as well as evaluate trainee performance and set training curricula for individual personnel in the post-training session phase. Finally, the platform will be offered in affordable and cost-effective Modes including Basic Mode (low VR fidelity and interactivity through mobile devices), Intermediate Mode (immersive multimodal VR) and Full Mode (immersive multimodal MR On-Site).

Invito a presentare proposte

H2020-FCT-2014-2015

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Bando secondario

H2020-FCT-2014

Meccanismo di finanziamento

RIA - Research and Innovation action

Coordinatore

BMT GROUP LTD
Contribution nette de l'UE
€ 1 113 750,00
Indirizzo
GOODRICH HOUSE WALDEGRAVE ROAD 1
TW11 8LZ Teddington
Regno Unito

Mostra sulla mappa

Regione
London Outer London — West and North West Hounslow and Richmond upon Thames
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Collegamenti
Costo totale
€ 1 113 750,00

Partecipanti (14)