EEG and Eye-Tracking Based Measures for Enhanced Training

被引:0
|
作者
Soussou, Walid [1 ]
Rooksby, Michael [1 ]
Forty, Charles [1 ]
Weatherhead, James [1 ]
Marshall, Sandra [1 ]
机构
[1] Quantum Appl Sci & Res QUASAR, San Diego, CA 92121 USA
来源
2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2012年
关键词
SUPERIOR PERFORMANCE; COGNITIVE STATE; EXPERT;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This paper describes a project whose goal was to establish the feasibility of using unobtrusive cognitive assessment methodologies in order to optimize efficiency and expediency of training. QUASAR, EyeTracking, Inc. (ETI), and Safe Passage International (SPI), teamed to demonstrate correlation between EEG and eye-tracking based cognitive workload, performance assessment and subject expertise on X-Ray screening tasks. Results indicate significant correlation between cognitive workload metrics based on EEG and eye-tracking measurements recorded during a simulated baggage screening task and subject expertise and error rates in that same task. These results suggest that cognitive monitoring could be useful in improving training efficiency by enabling training paradigms that adapts to increasing expertise.
引用
收藏
页码:1623 / 1626
页数:4
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