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...
- Autores:
- 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
- Rights
- License
- Derechos de autor 2022 Revista de Investigación, Desarrollo e Innovación
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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 |
_version_ |
1839633821597696000 |