Modern military battlefield scenarios take place in complex environments which pose many challenges to the military operatives working in them. To address this, future military vetronics systems will generate complex data which can be used to provide a degree of situational awareness (SA) to vehicle crews. As a human's cognitive resources are limited, not all of the SA information derived from this data will be needed by crews all of the time. To ensure the right information is provided to crew members at the right time, there is a need for automatic and intelligent data management in vehicle crew stations.
The overarching aim of this project is to enable and support automatic information management in military vehicles, towards alleviating the operational workload experienced by vehicle crews. To identify approaches which may achieve this, the work investigates crew station environments and the issues they present, current and evolving UK MoD vetronics standards, and data management techniques and approaches. An experimental crew station environment will be created and used to verify intelligent digital assistant designs for military vehicles.
As part of this research, a number of visits to UK MoD sites took place with current vehicle operators, to investigate key problem areas. The output of these visits included the identification of issues in crew stations which may be addressed through information management and presentation techniques and through the integration of novel control interface mechanisms. This drives the development of an architecture to support an intelligent digital assistant (IDA) for the crew station environment and the creation of an experimental testbed crew station, useful for technology de-risking and for conducting investigative experimental trials.