Assessment of Cognitive Load in the Context of Neurosurgery
- Daniel Di Giovanni, McGill University, Montreal, Quebec, Canada
- Simon Drouin, Montreal Neurological Institute (McGill University), Montreal, Quebec, Canada
- Marta Kersten-Oertel, Computer Science and Software Engineering, Concordia University, Montreal, Quebec, Canada
- Louis Collins, McGill University, Montreal, Quebec, Canada
AbstractThe work presented in this paper explores the amount of effort, defined by cognitive load, needed to understand depth visualization while navigating a virtual space in the context of planning for image guided surgery. In this context, cognitive load is evaluated by measuring brain activity through event-related electroencephalography (EEG). We found a significant difference between dynamic depth cue renders versus statically rendered cues. The work presented here demonstrates the usefulness of EEG as an acceptable and efficient method to inspect brain activity for future user studies in the operating room, and that cognitive load can serve as an objective measure of visualization effectiveness.
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