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

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 reso...

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Detalles Bibliográficos
Autores: Penizzotto Bacha, Franco Victor, Slawiñski, Emanuel, Mut, Vicente Antonio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:español
OAI Identifier:oai:ri.conicet.gov.ar:11336/36431
Acceso en línea:http://hdl.handle.net/11336/36431
Access Level:acceso abierto
Palabra clave:Visualization
Measurement
Robot Sensing Systems
Irrigation
Mobile Robots
Monitoring
https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
Descripción
Sumario: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.