How prior knowledge affects problem-solving performance in a medical simulation game: Using game-logs and eye-tracking
作者：
Highlights：
• Developing theory-based indicators of expertise leads to sound validation.
• Experts show higher systematicity in their task approach than novices.
• Experts attend critical areas more and intervention areas less often than novices.
• Self-reported cognitive load negatively correlates with eye-gaze transition rate.
• Experts perform faster than novices, with higher accuracy and lower cognitive load.
摘要
•Developing theory-based indicators of expertise leads to sound validation.•Experts show higher systematicity in their task approach than novices.•Experts attend critical areas more and intervention areas less often than novices.•Self-reported cognitive load negatively correlates with eye-gaze transition rate.•Experts perform faster than novices, with higher accuracy and lower cognitive load.
论文关键词：Assessment,Prior knowledge,Simulation game,Serious game,Cognitive load,Eye-tracking
论文评审过程：Received 13 February 2019, Revised 30 April 2019, Accepted 29 May 2019, Available online 30 May 2019, Version of Record 4 June 2019.
论文官网地址：https://doi.org/10.1016/j.chb.2019.05.035
