Engagement level analysis in the programming of haptic devices through a brain computer interface

This paper proposes the use of a brain-computer interface, which allows measuring the neurosignals of the level of commitment in the performance of the telemarketer when performing the task. The methodology to determine the level of haptic assists consists of 4 steps: first, a teleoperation applicat...

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Tipo de recurso:
http://purl.org/coar/resource_type/c_6619
Fecha de publicación:
2022
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/10386
Acceso en línea:
https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/14214
https://repositorio.uptc.edu.co/handle/001/10386
Palabra clave:
brain-computer interface
haptics
neuronsignals
engagement
interfaz cerebro computador
háptica
neuroseñales
compromiso
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Derechos de autor 2022 Revista de Investigación, Desarrollo e Innovación
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spelling 2022-02-152024-07-05T18:04:13Z2024-07-05T18:04:13Zhttps://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/1421410.19053/20278306.v12.n1.2022.14214https://repositorio.uptc.edu.co/handle/001/10386This paper proposes the use of a brain-computer interface, which allows measuring the neurosignals of the level of commitment in the performance of the telemarketer when performing the task. The methodology to determine the level of haptic assists consists of 4 steps: first, a teleoperation application is selected, which consisted of remotely moving a robot along a predefined path. In steps two and three, the proposed task is executed with and without haptic assistance. In step 4, the robot's paths are analyzed to determine the areas where the operator required a higher or lower level of assistance. The results show that the user takes a significantly longer time to complete the proposed paths, when the haptic assists are not active. It is concluded that the brain-computer interfaces allow detecting the areas where these aids are more necessary and the areas where they can be reduced.Este trabajo propone el uso de una interfaz cerebro computador, que permite medir las neuroseñales del nivel de compromiso en el desempeño del teleoperador al realizar la tarea. La metodología para determinar el nivel de asistencias hápticas consta de 4 pasos: primero se selecciona una aplicación de teleoperación, que consistía en mover a distancia un robot a lo largo de una trayectoria predefinida. En los pasos dos y tres, se ejecuta la tarea planteada con y sin asistencias hápticas. En el paso 4 se analizan los recorridos del robot, para determinar las zonas donde el operador requería un mayor o menor nivel de asistencia. Los resultados muestran que al usuario le toma un tiempo significativamente mayor el realizar el recorrido planteado, cuando no tiene activas las asistencias hápticas. Se concluye que las interfaces cerebro computador, permiten detectar las zonas donde estas ayudas se hacen más necesarias y las zonas donde se pueden disminuir.application/pdftext/xmlspaspaUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/14214/11649https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/14214/12564Derechos de autor 2022 Revista de Investigación, Desarrollo e Innovaciónhttp://purl.org/coar/access_right/c_abf120http://purl.org/coar/access_right/c_abf2Revista de Investigación, Desarrollo e Innovación; Vol. 12 No. 1 (2022): Enero-Junio; 137-148Revista de Investigación, Desarrollo e Innovación; Vol. 12 Núm. 1 (2022): Enero-Junio; 137-1482389-94172027-8306brain-computer interfacehapticsneuronsignalsengagementinterfaz cerebro computadorhápticaneuroseñalescompromisoEngagement level analysis in the programming of haptic devices through a brain computer interfaceAnálisis del nivel de compromiso en la programación de dispositivos hápticos por medio de una interfaz cerebro computadorinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6619http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a203http://purl.org/coar/version/c_970fb48d4fbd8a85Peña-Cortés, César AugustoVargas-Granados, Andrés LeonardoPardo-García, Aldo001/10386oai:repositorio.uptc.edu.co:001/103862025-07-18 11:51:29.207metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co
dc.title.en-US.fl_str_mv Engagement level analysis in the programming of haptic devices through a brain computer interface
dc.title.es-ES.fl_str_mv Análisis del nivel de compromiso en la programación de dispositivos hápticos por medio de una interfaz cerebro computador
title Engagement level analysis in the programming of haptic devices through a brain computer interface
spellingShingle Engagement level analysis in the programming of haptic devices through a brain computer interface
brain-computer interface
haptics
neuronsignals
engagement
interfaz cerebro computador
háptica
neuroseñales
compromiso
title_short Engagement level analysis in the programming of haptic devices through a brain computer interface
title_full Engagement level analysis in the programming of haptic devices through a brain computer interface
title_fullStr Engagement level analysis in the programming of haptic devices through a brain computer interface
title_full_unstemmed Engagement level analysis in the programming of haptic devices through a brain computer interface
title_sort Engagement level analysis in the programming of haptic devices through a brain computer interface
dc.subject.en-US.fl_str_mv brain-computer interface
haptics
neuronsignals
engagement
topic brain-computer interface
haptics
neuronsignals
engagement
interfaz cerebro computador
háptica
neuroseñales
compromiso
dc.subject.es-ES.fl_str_mv interfaz cerebro computador
háptica
neuroseñales
compromiso
description This paper proposes the use of a brain-computer interface, which allows measuring the neurosignals of the level of commitment in the performance of the telemarketer when performing the task. The methodology to determine the level of haptic assists consists of 4 steps: first, a teleoperation application is selected, which consisted of remotely moving a robot along a predefined path. In steps two and three, the proposed task is executed with and without haptic assistance. In step 4, the robot's paths are analyzed to determine the areas where the operator required a higher or lower level of assistance. The results show that the user takes a significantly longer time to complete the proposed paths, when the haptic assists are not active. It is concluded that the brain-computer interfaces allow detecting the areas where these aids are more necessary and the areas where they can be reduced.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2024-07-05T18:04:13Z
dc.date.available.none.fl_str_mv 2024-07-05T18:04:13Z
dc.date.none.fl_str_mv 2022-02-15
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6619
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a203
format http://purl.org/coar/resource_type/c_6619
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/14214
10.19053/20278306.v12.n1.2022.14214
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/10386
url https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/14214
https://repositorio.uptc.edu.co/handle/001/10386
identifier_str_mv 10.19053/20278306.v12.n1.2022.14214
dc.language.none.fl_str_mv spa
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/14214/11649
https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/14214/12564
dc.rights.es-ES.fl_str_mv Derechos de autor 2022 Revista de Investigación, Desarrollo e Innovación
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf120
rights_invalid_str_mv Derechos de autor 2022 Revista de Investigación, Desarrollo e Innovación
http://purl.org/coar/access_right/c_abf120
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
text/xml
dc.publisher.es-ES.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Revista de Investigación, Desarrollo e Innovación; Vol. 12 No. 1 (2022): Enero-Junio; 137-148
dc.source.es-ES.fl_str_mv Revista de Investigación, Desarrollo e Innovación; Vol. 12 Núm. 1 (2022): Enero-Junio; 137-148
dc.source.none.fl_str_mv 2389-9417
2027-8306
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
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