DocumentCode :
2084834
Title :
EEG and eye-tracking based measures for enhanced training
Author :
Soussou, W. ; Rooksby, M. ; Forty, C. ; Weatherhead, J. ; Marshall, Simon
Author_Institution :
Quantum Appl. Sci. & Res. (QUASAR), CA, USA
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
1623
Lastpage :
1626
Abstract :
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 XRay 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.
Keywords :
biomedical education; cognition; electroencephalography; target tracking; training; vision; EEG based measures; QUASAR; X-ray screening tasks; cognitive workload metrics; eye tracking based measures; performance assessment; simulated baggage screening task; subject expertise; training efficiency optimsation; training expediency optimsation; unobtrusive cognitive assessment methodologies; Electroencephalography; Fatigue; Monitoring; Sensors; Training; X-ray imaging; Brain; Cognition; Electroencephalography; Eye Movements; Humans; Software; Task Performance and Analysis; X-Rays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6346256
Filename :
6346256
Link To Document :
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