Attentional capacity is the number of items a person can hold in their temporal memory whilst undertaking a task (researchers equivocate this to Random Access Memory in computing hardware). Therefore, attentional capacity is thought to play a role in task performance and if a person's attentional capacity is measured 'in-vivo' then one can predict that person's ability and aptitude (classifying if they are an expert or novice since an expert will not require the full capacity of their temporal capacity, as many of the routine steps are stored in their permanent memory). The measurement of performance is of interest in medical training and competency testing research. Eye-tracking and other novel methods could offer new and effective components for measuring performance during complex procedures. These novel methods have increasingly been spotted in new healthcare research studies which aim to use them for a multitude of purposes, mostly to uncover valuable insights between different participant performance levels. One form of medical training is high-fidelity virtual reality simulators that can provide an almost life-like training environment for the trainee and one common use of these simulators is for surgical training . Some work with eye-tracking has already been done with surgical tasks that indicates visual attention does discriminate between novice and expert level performance. There is scope for using eye-tracking technology to capture visual attention during complex surgical procedures to uncover the discriminatory measurements between participants at different levels of expertise.