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SYMBIO gets a contract for a visual control room at Roissy Charles De Gaulle airport

03 Apr 2019
SYMBIO wins a new contract with French Air Navigation for the design of new consoles for the South Traffic visual control room at Roissy Charles De Gaulle airport.

SYMBIO starts developing SYM Lab and SYM View virtual reality (VR) software

11 Mar 2019
SYMBIO has started developing the new SYM Lab and SYM View virtual reality (VR) software for control room and console design

SYMBIO gets a contract with Schneider Electric

10 Jan 2019
Schneider Electric subcontracts SYMBIO for helping digitally improving operational and business processes at APA, a gas transporter and energy company in Brisbane, Australia.

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Use of SYMBIO's generic architecture for Human-Machine cooperation in the A-PIMOD European project

Thursday, November 14, 2013

SYMBIO has instantiated its generic architecture for Human-Machine cooperation within the A-PIMOD European project. The functional architecture specifies how the crew and automated systems interact and cooperate to perform commercial mission flights. It will play a central role in A-PIMOD because it specificies all software modules that have to be developed, what they do and how they interact. The architecture is an instantiation of the more generic architecture for Human-Machine cooperation developed by SYMBIO in 2011. About A-PIMOD A-PIMOD is a European project to which SYMBIO participates with several international partners: OFFIS (DE), Honeywell (CZ), DLR (DE), NLR (NL), Trinity College Dublin (EI), Brno University of Technology (CZ) and Kite Solutions (IT). A-PIMOD project aims at investigating and developing new concepts for adaptive automation in modern cockpits. Multi-modal technologies (e.g., speech & gesture recognition; tactile inputs,...) will be used to support interaction between the crew and the aircraft. Adaptiveness will be provided through dynamic task (re)distribution between the crew and automation, as well as through adaptive user interfaces. Cues for adaptation will be based on crew state inference, task recognition and dynamic on-board cognitive models.

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