Literature DB >> 12691372

Effects of a biocybernetic system on vigilance performance.

Peter J Mikulka1, Mark W Scerbo, Frederick G Freeman.   

Abstract

The present study was designed to determine whether a biocybernetic, adaptive system could enhance vigilance performance. Participants were asked to monitor the repetitive presentation of white bars on a computer screen for occasional increases in length. An index of task engagement was derived from participants' electroencephalographic (EEG) activity and was used to change the presentation rate of events among 3 values (6, 20, and 60 events/min). Under a negative feedback contingency, event rates increased if the engagement index decreased and, conversely, decreased if the index increased. Under positive feedback, the opposite contingency existed. Each experimental participant had a yoked control partner who received the same pattern of changes in event rates irrespective of his or her EEG activity. The results showed that better vigilance performance was obtained under negative feedback and that the performance of the yoked participants was similar to that of their experimental partners. These findings suggest that it may be possible to improve monitoring performance on critical activities such as air traffic control and radar and sonar operation through a pattern of event rate changes that do not rely on an operator's overt behavior.

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Year:  2002        PMID: 12691372     DOI: 10.1518/0018720024496944

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  8 in total

1.  Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective.

Authors:  Patrick Charland; Pierre-Majorique Léger; Sylvain Sénécal; François Courtemanche; Julien Mercier; Yannick Skelling; Elise Labonté-Lemoyne
Journal:  J Vis Exp       Date:  2015-07-01       Impact factor: 1.355

2.  An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload.

Authors:  Bujar Raufi; Luca Longo
Journal:  Front Neuroinform       Date:  2022-05-16       Impact factor: 3.739

3.  Modeling temporal sequences of cognitive state changes based on a combination of EEG-engagement, EEG-workload, and heart rate metrics.

Authors:  Maja Stikic; Chris Berka; Daniel J Levendowski; Roberto F Rubio; Veasna Tan; Stephanie Korszen; Douglas Barba; David Wurzer
Journal:  Front Neurosci       Date:  2014-11-05       Impact factor: 4.677

4.  Workload regulation by Sudarshan Kriya: an EEG and ECG perspective.

Authors:  Sushil Chandra; Greeshma Sharma; Mansi Sharma; Devendra Jha; Alok Pakash Mittal
Journal:  Brain Inform       Date:  2016-07-18

5.  Acoustic Neurofeedback Increases Beta ERD During Mental Rotation Task.

Authors:  Wioletta Karina Ozga; Dariusz Zapała; Piotr Wierzgała; Paweł Augustynowicz; Robert Porzak; Grzegorz Marcin Wójcik
Journal:  Appl Psychophysiol Biofeedback       Date:  2019-06

6.  Toward a Hybrid Passive BCI for the Modulation of Sustained Attention Using EEG and fNIRS.

Authors:  Alexander J Karran; Théophile Demazure; Pierre-Majorique Leger; Elise Labonte-LeMoyne; Sylvain Senecal; Marc Fredette; Gilbert Babin
Journal:  Front Hum Neurosci       Date:  2019-11-06       Impact factor: 3.169

7.  Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis.

Authors:  Lina Elsherif Ismail; Waldemar Karwowski
Journal:  PLoS One       Date:  2020-12-04       Impact factor: 3.240

Review 8.  Autopilot, Mind Wandering, and the Out of the Loop Performance Problem.

Authors:  Jonas Gouraud; Arnaud Delorme; Bruno Berberian
Journal:  Front Neurosci       Date:  2017-10-05       Impact factor: 4.677

  8 in total

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