EEG Knows Best: Predicting Future Performance Problems for Targeted Training

Campbell, Gwendolyn E.; Belz, Christine L.; Scott, Charles P. R.; Luu, Phan

doi:10.1007/978-3-642-21852-1_16

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…The researchers demonstrate that that when guesses and slips are removed from the analyses, a very different picture of participant performance and understanding of the task emerges. In a follow up study, Campbell et al (2011) demonstrate that distinguishing between intentional responses from guesses and slips can predict the likelihood of future performance errors (Campbell et al, 2011). In particular, they found that whereas EEG-detected guesses and slips were less likely in future performance sessions, frequency of intentional errors remained consistent.…”

Section: Electroencephalography (Eeg)mentioning

confidence: 94%

Understanding Optimal Decision-Making in Wargaming

Nesbitt¹,

Kennedy²,

Alt³

et al. 2013

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, This research aims to gain insight into optimal wargaming decision-making mechanisms using neurophysiological measures by investigating whether brain activation and visual scan patterns predict attention, perception, and/or decision-making errors through human-in-the-loop wargaming simulation experiments. We investigate whether brain activity and visual scan patterns can explain optimal wargaming decision making and its development with a within-person design; i.e., the transition from exploring the environment to exploiting the environment. We describe ongoing research that uses neurophysiological predictors in two military decision making tasks that tap reinforcement learning and cognitive flexibility.

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Section: Electroencephalography (Eeg)mentioning

confidence: 94%