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-Source:
-Stefanidis D, Scerbo MW, Korndorffer JR, Scott DJ. Redefining simulator proficiency using automaticity theory.Am J Surg.2007;193(4):502–6.
-=== What is automaticity? ===
-Automaticity is a characteristic of **expertise** defined by the ability to perform a task without significant demands on **attention**
-Is this concept of automaticity synonymous with [[autonomy]]?
-=== How to measure it? ===
-  - Stefanidis suggests use of a secondary visual-spatial task can differentiate experts/trained individuals/novices.
-  - primary FLS task: 300s suture tying
-  - secondary counting squares: look for 4x4 white square
-  - expert/trained - better primary scores vs novice
-  - expert - similar primary scores but better secondary scores vs trained.
-  - secondary tasks assesses "spare attentional capacity" –> consider [[cognitive load]] concept
-  - for simplified surgical simulation tasks, it may be difficult to identify the "true expert"
-One important characteristic that distinguishes between experts and novices is how they use **attentional resources**. Experts can often perform multiple tasks simultaneously with little or no performance decrement.
-=== How to train for it? ===
-Select an appropriate secondary task: selective, sensitive, unobtrusive
-Benefits?
-Problems/ limitations?

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