Novice-to-expert knowledge transition in airport x-ray security screening

X-ray security screening at airports is an important issue due to its complexity and uncertainty. Humans are playing key roles in performing effective x-ray security screening. Novice screeners are prone to making mistakes when performing screening tasks. Given the critical nature of the context and the potential cost of errors, it is important to develop novices into experts. To excel to experts, they need fast knowledge transfer. This research focuses on the knowledge transition and learning approaches used during airport x-ray security screening. It proposes a speculative intelligent interface design to support quick novice to expert knowledge transition