Metric to Visual Aspects of the Human in Teleoperation of a Mobile Robot

Autores
Penizzotto Bacha, Franco Victor; Slawiñski, Emanuel; Mut, Vicente Antonio
Año de publicación
2014
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The purpose of this paper is to define and develop a metric to estimate the selective visual attention (SVA) of an operator that teleoperates a mobile robot. Perception is the first stage of Situation Awareness which is defined as one of the main aspects of Human Factors, and the attention is a resource which strongly affects the Perception of humans. Many researchers have proposed a variety of methods for measuring any stage of the Situation Awareness, but just a few can be used in control close loop systems due to the nature of the methods. A definition of a novel metric is proposed, which quantifies the operator visual knowledge about the surrounding risk, based on visual selective attention and being able to be a used in a control close loop. A teleoperation of a mobile robot navigating in an unknown environment without colliding is suggested as an application for the method. Finally, results of the implementation of the measurement method are presented. Applications of this research include the teleoperation of robots, where the human operator commands have a strong influence in the controller of the main task and when the there exist limitations on the visual feedback.
Fil: Penizzotto Bacha, Franco Victor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Slawiñski, Emanuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Mut, Vicente Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Materia
Visualization
Measurement
Robot Sensing Systems
Irrigation
Mobile Robots
Monitoring
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/36431
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Metric to Visual Aspects of the Human in Teleoperation of a Mobile RobotPenizzotto Bacha, Franco VictorSlawiñski, EmanuelMut, Vicente AntonioVisualizationMeasurementRobot Sensing SystemsIrrigationMobile RobotsMonitoringhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The purpose of this paper is to define and develop a metric to estimate the selective visual attention (SVA) of an operator that teleoperates a mobile robot. Perception is the first stage of Situation Awareness which is defined as one of the main aspects of Human Factors, and the attention is a resource which strongly affects the Perception of humans. Many researchers have proposed a variety of methods for measuring any stage of the Situation Awareness, but just a few can be used in control close loop systems due to the nature of the methods. A definition of a novel metric is proposed, which quantifies the operator visual knowledge about the surrounding risk, based on visual selective attention and being able to be a used in a control close loop. A teleoperation of a mobile robot navigating in an unknown environment without colliding is suggested as an application for the method. Finally, results of the implementation of the measurement method are presented. Applications of this research include the teleoperation of robots, where the human operator commands have a strong influence in the controller of the main task and when the there exist limitations on the visual feedback.Fil: Penizzotto Bacha, Franco Victor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Slawiñski, Emanuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Mut, Vicente Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaInstitute of Electrical and Electronics Engineers2014-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/36431Penizzotto Bacha, Franco Victor; Slawiñski, Emanuel; Mut, Vicente Antonio; Metric to Visual Aspects of the Human in Teleoperation of a Mobile Robot; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 12; 8; 12-2014; 1375-13801548-0992CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2014.7014503info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7014503/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:40:14Zoai:ri.conicet.gov.ar:11336/36431instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:40:14.416CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Metric to Visual Aspects of the Human in Teleoperation of a Mobile Robot
title Metric to Visual Aspects of the Human in Teleoperation of a Mobile Robot
spellingShingle Metric to Visual Aspects of the Human in Teleoperation of a Mobile Robot
Penizzotto Bacha, Franco Victor
Visualization
Measurement
Robot Sensing Systems
Irrigation
Mobile Robots
Monitoring
title_short Metric to Visual Aspects of the Human in Teleoperation of a Mobile Robot
title_full Metric to Visual Aspects of the Human in Teleoperation of a Mobile Robot
title_fullStr Metric to Visual Aspects of the Human in Teleoperation of a Mobile Robot
title_full_unstemmed Metric to Visual Aspects of the Human in Teleoperation of a Mobile Robot
title_sort Metric to Visual Aspects of the Human in Teleoperation of a Mobile Robot
dc.creator.none.fl_str_mv Penizzotto Bacha, Franco Victor
Slawiñski, Emanuel
Mut, Vicente Antonio
author Penizzotto Bacha, Franco Victor
author_facet Penizzotto Bacha, Franco Victor
Slawiñski, Emanuel
Mut, Vicente Antonio
author_role author
author2 Slawiñski, Emanuel
Mut, Vicente Antonio
author2_role author
author
dc.subject.none.fl_str_mv Visualization
Measurement
Robot Sensing Systems
Irrigation
Mobile Robots
Monitoring
topic Visualization
Measurement
Robot Sensing Systems
Irrigation
Mobile Robots
Monitoring
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The purpose of this paper is to define and develop a metric to estimate the selective visual attention (SVA) of an operator that teleoperates a mobile robot. Perception is the first stage of Situation Awareness which is defined as one of the main aspects of Human Factors, and the attention is a resource which strongly affects the Perception of humans. Many researchers have proposed a variety of methods for measuring any stage of the Situation Awareness, but just a few can be used in control close loop systems due to the nature of the methods. A definition of a novel metric is proposed, which quantifies the operator visual knowledge about the surrounding risk, based on visual selective attention and being able to be a used in a control close loop. A teleoperation of a mobile robot navigating in an unknown environment without colliding is suggested as an application for the method. Finally, results of the implementation of the measurement method are presented. Applications of this research include the teleoperation of robots, where the human operator commands have a strong influence in the controller of the main task and when the there exist limitations on the visual feedback.
Fil: Penizzotto Bacha, Franco Victor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Slawiñski, Emanuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Mut, Vicente Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
description The purpose of this paper is to define and develop a metric to estimate the selective visual attention (SVA) of an operator that teleoperates a mobile robot. Perception is the first stage of Situation Awareness which is defined as one of the main aspects of Human Factors, and the attention is a resource which strongly affects the Perception of humans. Many researchers have proposed a variety of methods for measuring any stage of the Situation Awareness, but just a few can be used in control close loop systems due to the nature of the methods. A definition of a novel metric is proposed, which quantifies the operator visual knowledge about the surrounding risk, based on visual selective attention and being able to be a used in a control close loop. A teleoperation of a mobile robot navigating in an unknown environment without colliding is suggested as an application for the method. Finally, results of the implementation of the measurement method are presented. Applications of this research include the teleoperation of robots, where the human operator commands have a strong influence in the controller of the main task and when the there exist limitations on the visual feedback.
publishDate 2014
dc.date.none.fl_str_mv 2014-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/36431
Penizzotto Bacha, Franco Victor; Slawiñski, Emanuel; Mut, Vicente Antonio; Metric to Visual Aspects of the Human in Teleoperation of a Mobile Robot; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 12; 8; 12-2014; 1375-1380
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/36431
identifier_str_mv Penizzotto Bacha, Franco Victor; Slawiñski, Emanuel; Mut, Vicente Antonio; Metric to Visual Aspects of the Human in Teleoperation of a Mobile Robot; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 12; 8; 12-2014; 1375-1380
1548-0992
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2014.7014503
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7014503/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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