Jeffrey Beaubien,John J. Feeney,William N. DePriest,Scott M. Pappada
申请号：
US15850998
公开号：
US10783801B1
申请日:
2017.12.21
申请国别(地区):
US
年份:
2020
代理人:
摘要：
In one example embodiment of the invention, a simulation based training system is provided having a sensor that unobtrusively collects objective data for individuals and teams experiencing training content to determine the cognitive states of individuals and teams； time-synchronizes the various data streams； automatically determines granular and objective measures for individual cognitive load (CL) of individuals and teams； and automatically determines a cognitive load balance (CLB) and a relative cognitive load (RCL) measure in real or near-real time. Data is unobtrusively gathered through physiological or other activity sensors such as electroencephalogram (EEG) and electrocardiogram (ECG) sensors. Some embodiments are further configured to also include sociometric data in the determining cognitive load. Sociometric data may be obtained through the use of sociometric badges. Some embodiments further automatically customize the simulation content by automatically selecting content based on the CL of the individuals and teams.
