Submitted Abstract
Radiological incidents whether caused by acts of terrorism or accidents pose a significant threat to the public and first responders. Therefore, providing effective training to first responders is essential in order to enhance safety. As a result, there is a growing demand for training solutions. However, to date training systems are often expensive, in many cases require the use of live agents (which increases risks and health and safety requirements) and relatively difficult to customise. While other training methods such the use of simulants are also expensive and have their own inherent problems. STARRI uses augmented reality coupled with objects (such as physical simulated sources and a simulated radiological dosimeter) to improve training by allowing it to become safer, lower cost, more effective and more customisable. This POC will undertake an iterative market testing process consisting of two prototype versions of the training system with aim of better fitting customer needs. From this a decision on which commercialisation approach to use will be chosen. While the focus in this POC is on radiological incident training the STARRI platform has the potential to be employed in other CBRN (Chemical, Biological, Radiological and Nuclear) training incidents with appropriate customisation.