Maximum Similarity Index (MSI): A metric to differentiate the performance of novices vs. multiple-experts in serious games
作者：
Highlights：
• Serious games need appropriate metrics to measure performance of players.
• Comparing novice performance against multiple expert-solutions is difficult.
• We created Maximum Similarity Index to compare novices against multiple experts.
• Findings show Maximum Similarity Index to be more robust than nine game metrics.
摘要
•Serious games need appropriate metrics to measure performance of players.•Comparing novice performance against multiple expert-solutions is difficult.•We created Maximum Similarity Index to compare novices against multiple experts.•Findings show Maximum Similarity Index to be more robust than nine game metrics.
论文关键词：Similarity index,Metrics and methodologies,Decision making,Human–computer interactions,Expert-novice performance
论文评审过程：Available online 10 August 2014.
论文官网地址：https://doi.org/10.1016/j.chb.2014.07.022
