Choice modeling and the brain: A study on the Electroencephalogram (EEG) of preferences

Khushaba, Rami N.; Greenacre, Luke; Kodagoda, Sarath; Louviere, Jordan J.; Burke, Sandra J.; Dissanayake, Gamini

doi:10.1016/j.eswa.2012.04.084

Cited by 93 publications

(50 citation statements)

References 18 publications

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“…Para tal efecto, se identificaron tres fabricantes líderes de este tipo de dispositivos a nivel mundial, entre los que se consideraron el Emotiv (Khushaba, et al, 2012), el Neurosky (Poltavski, Biberdorf, & Petros, 2012) y el Neuroelectrics (Neuroelectrics, 2013). Posteriormente se procedió con la selección de uno de estos dispositivos, teniendo en cuenta para ello criterios técnicos tales como: número de canales, acceso a los registros puros de las señales EEG, así como el precio de mercado.…”

Section: Selección De La Icc (Brain Computer Interface)unclassified

Modelo Vectorial para la Inferencia del Estado Cognitivo de Pacientes en Estados Derivados del Coma

Velasquez

Cardona

Peña

2014

RISTI

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Resumen: La forma tradicional de evaluar el estado de conciencia de un individuo, ha sido mediante la aplicación de estímulos y el análisis de sus respuestas, sin embargo, esta técnica se ve limitada cuando el individuo es incapaz de responder evidentemente ante un estímulo, como es el caso de los pacientes en estados derivados del coma. En estos casos, se requiere de una conexión directa con el cerebro del paciente para detectar una respuesta. Por consiguiente, en este artículo se desarrolla y analiza un modelo computacional basado en los principios de las máquinas de soporte vectorial (MSV), para inferir el estado cognitivo de pacientes en estados derivados del coma, mediante la utilización de un equipo de electroencefalografía comercial. Los resultados obtenidos, mostraron que el modelo logró clasificar correctamente una tarea cognitiva en al menos cuatro de cada cinco pruebas en pacientes de control, lo que se traduce en la obtención de un sistema de bajo costo para el análisis del estado de conciencia y para la posible comunicación con algunos pacientes en estados derivados del coma mediante protocolos médicos definidos. De esta manera, este sistema se presenta como un gran aporte para las clínicas y centros hospitalarios, como herramienta potencial de diagnóstico para este tipo de pacientes. The traditional method to evaluate the conscious state of an individual consists in applying a stimulus and analyzing the response. However this technique is limited when the person cannot response evidentially to that stimulus, as are derived state coma patients. In such cases, a direct connection to the brain is required to detect the response. Therefore, in this paper we develop and analyze a computational model employing support vector machines (SVM) to infer the cognitive state of derived state coma patients using an affordable Palabras-clave:

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Section: Selección De La Icc (Brain Computer Interface)unclassified

Modelo Vectorial para la Inferencia del Estado Cognitivo de Pacientes en Estados Derivados del Coma

Velasquez

Cardona

Peña

2014

RISTI

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“…Meanwhile, the disadvantages of traditional evaluation methods are subject to design uncertainty, simple indicators and can't from multiple perspectives and more scientific for the product evaluation [8]. Due to the need of product design evaluation, and the continuous development of multidisciplinary cross technology.…”

Section: A Evaluation Methods For Product Designmentioning

confidence: 99%

A Novel Method for the Evaluation of Fashion Product Design based on Neuro analysis

Li¹,

Wang²,

Wang³

2016

Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation

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Abstract-It is difficult to qualitatively analyze the design effect of the product. This paper will be applying the mathematical fundamentals of the fuzzy theory to create a novel evaluation model. The neuro attributes are used to quantify the factors of affecting the product appearance and the evaluation indicators. This paper will use EEG Emotive and Tobii mobile eye tracking to monitor and acquire subject's brain activity and eye gaze to quantify evaluation factors. This method can scientifically evaluate the uniqueness of product appearance design quality, and provide objective reference for improving product design.

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“…The preprocessing of EEG signals started with a detrending removal to eliminate the DC offset in the recorded EEG. This was followed by a linear band pass 13 filter (0.5-45 Hz) that removed the effect of 50 Hz noise and higher frequency artifacts based on the method used by Khushaba et al (2012); Kober et al (2012);and Khushaba et al (2013). Then, the electrooculographic and electromyographic artifacts were detected and deleted using the ADJUST method (Mognon et al, 2011), which is based on the Independent Component Analysis (ICA).…”

Section: Electroencephalogram Processingmentioning

confidence: 99%

“…Prior to use, all of the felt pads on top of the sensor must be moistened with a saline solution (Khushaba et al 2012). The Emotiv device was selected because of its low cost and portability so that the study could be performed in the school setting.…”

Section:  Physiological Instrument Epoc-based Eeg Data Collection (Ementioning

confidence: 99%

How the physical similarity of avatars can influence the learning of emotion regulation strategies in teenagers

Wrzesien

Rodrı́guez

Solaz

et al. 2015

Computers in Human Behavior

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Elsevier Wrzesien, M.; Rodriguez Ortega, A.; Rey, B.; Alcañiz Raya, ML.; Banos, R.; Vara, M. (2015). How the physical similarity of avatars can influence the learning of emotion regulation strategies in teenagers. Computers in Human Behavior. 43:101-111. doi:10.1016/j.chb.2014 How the physical similarity of avatars can influence the learning of emotion regulation strategies in teenagers AbstractThe aim of this study is to evaluate the influence of the physical similarity of avatars with the user on emotion regulation strategy training. In this study twenty-four teenagers observed an avatar (either physically similar to the participant or neutral) that gets frustrated with his/her computer, after which he/she applies an emotion regulation strategy (slow breathing). The intensity of the emotional induction and regulation processes was measured using questionnaires and electroencephalogram data. The results show that observing an avatar that is physically similar to the participant has a significantly greater impact on emotional valence and arousal in participants and also induces emotional states that are significantly more intense than when observing a neutral avatar. The results seem to indicate significantly greater activation of specific brain regions that are related to these processes and greater identification with the avatar in terms of both subjective and objective measures in participants that observed an avatar that was physically similar to them. However, there were no significant differences in the sense of presence or the appeal (i.e., satisfaction) to participants regarding the virtual environment. The use of avatars in mental health applications is relatively new and its specific influence is still unknown. We consider this study to be a first step forward in better understanding the use of avatars in mental health applications for youth. This research brings new guidelines to the design of different types of applications in this field in order to achieve greater behavioral changes in youth.

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Choice modeling and the brain: A study on the Electroencephalogram (EEG) of preferences

Cited by 93 publications

References 18 publications

Modelo Vectorial para la Inferencia del Estado Cognitivo de Pacientes en Estados Derivados del Coma

Modelo Vectorial para la Inferencia del Estado Cognitivo de Pacientes en Estados Derivados del Coma

A Novel Method for the Evaluation of Fashion Product Design based on Neuro analysis

How the physical similarity of avatars can influence the learning of emotion regulation strategies in teenagers

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