Improved Team Performance Using EEG- and Context-Based Cognitive-State Classifications for a Vehicle Crew

Dixon, Kevin R.; Hagemann, Konrad; Basilico, Justin Derrick; Forsythe, Chris; Rothe, Siegfried; Schrauf, Michael; Kincses, Wilhelm E.

doi:10.1007/978-3-642-02812-0_43

Cited by 8 publications

(3 citation statements)

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“…Dans une étude de Dixon et al (2009), l'activité cérébrale de l'équipage d'un véhicule militaire était mesurée pour identifier la surcharge mentale lors de tâches réalisées simultanément (conduite, communication…). Les communications gérées par le pilote pouvaient alors être transférées au coéquipier ou différées si une demande cognitive élevée était détectée par le dispositif EEG.…”

Section: Iii2 La Cognition Augmentéeunclassified

L’imagerie cérébrale et la conception de produit : vers de nouveaux outils d’évaluation

Barre¹,

Afonso-Jaco²,

Buisine³

et al. 2015

Le Travail Humain

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Nous proposons dans cet article un état de l’art de l’utilisation de la neuro-imagerie (ou imagerie cérébrale) à des fins non médicales. Depuis quelques années sont apparues de nouvelles disciplines autour de l’imagerie cérébrale : neuroergonomie, neuromarketing, neuroesthétique. Dans la littérature, il existe deux champs de recherche ayant deux finalités différentes : – La substitution des fonctions motrices et cognitives : Dans ce premier champ de recherche, l’humain est assisté par la technologie (informatique et mécanique) pour substituer ses actions motrices et/ou cognitives par des réponses cérébrales, dans le but de compenser un trouble moteur ou sensoriel. – L’apport de nouvelles connaissances sur l’humain : Ce second champ concerne l’interprétation des données issues de l’imagerie. Les réponses cérébrales sont étudiées pour comprendre le fonctionnement mental ou social de l’individu sans interférer dans ses activités (conduite, actes d’achats ou situation de travail). Nous exposons une synthèse de ces recherches émergentes et proposons un cadre prospectif pour l’utilisation des techniques d’imagerie cérébrale en conception de produit, afin de dépasser les limites des méthodes actuelles et d’améliorer l’évaluation des produits ou des concepts avec des données plus objectives. L’utilisation d’un appareillage EEG permettrait, par exemple, de mesurer la performance, l’apprentissage et la satisfaction des utilisateurs en interaction avec un produit.

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Section: Iii2 La Cognition Augmentéeunclassified

L’imagerie cérébrale et la conception de produit : vers de nouveaux outils d’évaluation

Barre¹,

Afonso-Jaco²,

Buisine³

et al. 2015

Le Travail Humain

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“…However, there is increasing interest in the use of EEG beyond the laboratory setting, for example in investigating brain activity of people engaged in everyday tasks such as sport and other forms of performance (Thompson et al 2008, Aspinall et al 2013 or military work (Janelle and Hatfield 2008). The aim is typically to understand the nature of task-related neural activity, but also ultimately to boost performance through training or augmentation (Dixon et al 2009, Berka et al 2010. Other research has focussed on practical applications of EEG technology.…”

Section: Introductionmentioning

confidence: 99%

Measurement of neural signals from inexpensive, wireless and dry EEG systems

et al. 2015

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Electroencephalography (EEG) is challenged by high cost, immobility of equipment and the use of inconvenient conductive gels. We compared EEG recordings obtained from three systems that are inexpensive, wireless, and/or dry (no gel), against recordings made with a traditional, research-grade EEG system, in order to investigate the ability of these 'non-traditional' systems to produce recordings of comparable quality to a research-grade system. The systems compared were: Emotiv EPOC (inexpensive and wireless), B-Alert (wireless), g.Sahara (dry) and g.HIamp (research-grade). We compared the ability of the systems to demonstrate five well-studied neural phenomena: (1) enhanced alpha activity with eyes closed versus open; (2) visual steady-state response (VSSR); (3) mismatch negativity; (4) P300; and (5) event-related desynchronization/synchronization. All systems measured significant alpha augmentation with eye closure, and were able to measure VSSRs (although these were smaller with g.Sahara). The B-Alert and g.Sahara were able to measure the three time-locked phenomena equivalently to the g.HIamp. The Emotiv EPOC did not have suitably located electrodes for two of the tasks and synchronization considerations meant that data from the time-locked tasks were not assessed. The results show that inexpensive, wireless, or dry systems may be suitable for experimental studies using EEG, depending on the research paradigm, and within the constraints imposed by their limited electrode placement and number.

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“…In contrast, neurophysiology based measures can provide an objective and direct characterization of the driver's cognitive state with high temporal resolution (Lin et al, 2005;Trejo et al, 2007;Shen et al, 2008). Currently, advances in technology and in signal processing enable real-time measurements of drivers' cognitive states under real traffic conditions (Kohlmorgen et al, 2007;Dixon et al, 2009). We now propose an electroencephalography (EEG) based fatigue measure that largely fulfills the requirements formulated above and outperforms traditional EEG-based fatigue measures with respect to sensitivity and noise susceptibility.…”

Section: Introductionmentioning

confidence: 99%

Assessing Drivers’ Fatigue State Under Real Traffic Conditions Using EEG Alpha Spindles

Schrauf

Simon

Schmidt

et al. 2011

Proceedings of the 6th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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Summary:The effectiveness of EEG alpha spindles, defined by short narrowband bursts in the alpha band, as an objective measure for assessing driver fatigue under real driving conditions was examined using an algorithm for the identification of alpha spindles. The method is applied to data recorded under real traffic conditions and compared with the performance of the traditional EEG fatigue measure alpha band power. Statistical analysis revealed significant increases from the first to the last driving section of alpha band power; with larger effect sizes for the alpha spindle based measures. An increased level of fatigue for drop-outs, as compared to participants who did not abort the drive, was observed only by means of alpha spindle parameters. EEG alpha spindle parameters increase both fatigue detection sensitivity and specificity as compared to EEG alpha band power. It is demonstrated that alpha spindles are superior to EEG band power measures for assessing driver fatigue under real traffic conditions.

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Improved Team Performance Using EEG- and Context-Based Cognitive-State Classifications for a Vehicle Crew

Cited by 8 publications

References 0 publications

L’imagerie cérébrale et la conception de produit : vers de nouveaux outils d’évaluation

L’imagerie cérébrale et la conception de produit : vers de nouveaux outils d’évaluation

Measurement of neural signals from inexpensive, wireless and dry EEG systems

Assessing Drivers’ Fatigue State Under Real Traffic Conditions Using EEG Alpha Spindles

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