Evaluation of an adaptive automation system using three EEG indices with a visual tracking task

Freeman, Frederick G.; Mikulka, Peter J.; Prinzel, Lawrence J.; Scerbo, Mark W.

doi:10.1016/s0301-0511(99)00002-2

Cited by 224 publications

(162 citation statements)

References 15 publications

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“…Studies have shown a correlation between EEG activity in certain frequency bands and cognitive engagement with various tasks (Freeman, et al, 1999). This engagement index has been shown to be a valid measure of determining cognitive engagement (Freeman, et al, 1999;Pope, et al, 1995).…”

Section: Etectroencephatography (Eeg)mentioning

confidence: 97%

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Serious Game and Virtual World Training: Instrumentation and Assessment

Wong¹,

Nguyen²,

Ogren³

2012

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Section: Etectroencephatography (Eeg)mentioning

confidence: 97%

“…This engagement index has been shown to be a valid measure of determining cognitive engagement (Freeman, et al, 1999;Pope, et al, 1995). This is useful while evaluating a new training technology, as improving student motivation and student engagement are often some of the primary goals in creating new methods of learning.…”

Section: Etectroencephatography (Eeg)mentioning

confidence: 99%

Serious Game and Virtual World Training: Instrumentation and Assessment

Wong¹,

Nguyen²,

Ogren³

2012

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“…The signal frequencies are between 0.2 and 60 Hz. An artifact rejection procedure based on the signal amplitude was performed in order to reduce the impact of blinking and body movement effect [17,18]. More precisely, if the amplitude of any 1-s EEG in any site exceeds in 25% of the data point a predefined threshold, the segment is rejected.…”

Section: Emotion Detectionmentioning

confidence: 99%

“…In their study, it was found that the user's performance improved when an EEG index is used as a criterion for switching between manual and automated piloting mode. This index is computed from three EEG frequency bands: α (8)(9)(10)(11)(12), β (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22) and θ (4-8 Hz):…”

Section: Emotion Detectionmentioning

confidence: 99%

Emotions and personality traits in argumentation: An empirical evaluation1

Villata

Cabrio

Jraidi

et al. 2017

AAC

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Abstract. Argumentation is a mechanism to support different forms of reasoning such as decision making and persuasion and always cast under the light of critical thinking. In the latest years, several computational approaches to argumentation have been proposed to detect conflicting information, take the best decision with respect to the available knowledge, and update our own beliefs when new information arrives. The common point of all these approaches is that they assume a purely rational behavior of the involved actors, be them humans or artificial agents. However, this is not the case as humans are proved to behave differently, mixing rational and emotional attitudes to guide their actions. Some works have claimed that there exists a strong connection between the argumentation process and the emotions felt by people involved in such process. We advocate a complementary, descriptive and experimental method, based on the collection of emotional data about the way human reasoners handle emotions during debate interactions. Across different debates, people's argumentation in plain English is correlated with the emotions automatically detected from the participants, their engagement in the debate, and the mental workload required to debate. Results show several correlations among emotions, engagement and mental workload with respect to the argumentation elements. For instance, when two opposite opinions are conflicting, this is reflected in a negative way on the debaters' emotions. Beside their theoretical value for validating and inspiring computational argumentation theory, these results have applied value for developing artificial agents meant to argue with human users or to assist users in the management of debates.

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“…Other techniques such as behavioral analyses, speech and facial expression [259,260,261] have also been used to obtain information about the cognitive state of users. Neurological measures have also been used because they provide a more direct analysis of the cognitive state [262,263]. As described in chapter 3, TCD has been used in studies closely related with the AugCog field and vigilance tasks [169,170,172,173,174].…”

Section: Augmented Cognitionmentioning

confidence: 99%

Contributions to the Development of Objective Techniques for Presence Measurement in Virtual Environments by means of Brain Activity Analysis

Solaz¹

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AcknowledgmentsMe gustaría expresar mi agradecimiento a todas las personas que me han apoyado para que este trabajo saliera adelante.En primer lugar, quiero agradecerle a mi director de tesis, Mariano Alcañiz, por haber confiado siempre en mí, por toda su ayuda y por haber creído en este proyecto.También me gustaría dar las gracias a todos mis compañeros de LabHuman durante estos años. Ha sido mucho tiempo el que hemos pasado juntos y su presencia siempre ha hecho más llevadero y agradable el trabajo.También ha sido fundamental el apoyo del equipo de LabPsitec, con tantos proyectos juntos, tantos congresos y tantos buenos consejos. Muchas gracias.Por otra parte, quiero transmitir un agradecimiento especial a todas las personas que han participado de una u otra manera en el desarrollo de este trabajo.Sobre todo, quiero agradecer a Pepe Tembl y Vera Parkhutik, doctores del Hospital Universitari la Fe, por las tardes pasadas en el Politécnico para poder llevar a cabo todas las sesiones experimentales y por toda su ayuda.vi También quiero dar las gracias a Valery Naranjo y Xavier Bornàs, por su apoyo y consejos en los análisis de las señales.Otra persona que cabe destacar y sin la cual no se hubiera podido llevar a cabo este proyecto ha sido José Lores, de la empresa Almevan, S.L. Le agradezco todas sus facilidades para poder disponer del equipo de Doppler Transcraneal utilizado en las pruebas.Y, porúltimo, pero no menos importante, quiero transmitir mi más sincero agradecimiento a todas las personas que voluntariamente han pasado por los experimentos que se han llevado a cabo en la presente tesis.También me gustaría dar las gracias a todas las personas de mi entorno personal, amigos y familia, que han estado a mi lado durante este tiempo.Quiero dar las gracias a José María, María José, César y David, por escucharme, por sus consejos y por su apoyo durante toda esta etapa.También me gustaría acordarme en estos agradecimientos de mis abuelos Antonio y Remedios y de mi tía Gloria, a los que tengo tan presentes, por todo su amor y por su capacidad de emocionarse con mis estudios aunque no los comprendieran.Me gustaría dar las gracias especialmente a mis padres Juan y Clotilde, porque han estado siempre a mi lado y todo lo que me han transmitido desde niña ha sido la base que ha hecho posible que esta tesis se llevara a cabo. También quiero darle las gracias a Pablo y Mari Carmen, que comprenden muy bien el camino que he tenido que recorrer para llegar aquí.Finalmente, doy las gracias a Jose, por darme la fuerza para poder llevar a cabo mis proyectos, por estar a mi lado siempre, por comprenderme, por apoyarme... Sencillamente, gracias por estar ahí. vii ResumenEl concepto de presencia, entendida como la sensación de "estar ahí", en un entorno virtual, aunque se esté físicamente en un lugar diferente (por ejemplo, en el laboratorio), ha sido ampliamente estudiado en elámbito de la realidad virtual para comprender mejor los mecanismos psicológicos que acompañan a las experiencias virtuales.En la literatura, se han propue...

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Evaluation of an adaptive automation system using three EEG indices with a visual tracking task

Cited by 224 publications

References 15 publications

Serious Game and Virtual World Training: Instrumentation and Assessment

Serious Game and Virtual World Training: Instrumentation and Assessment

Emotions and personality traits in argumentation: An empirical evaluation1

Contributions to the Development of Objective Techniques for Presence Measurement in Virtual Environments by means of Brain Activity Analysis

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