Conflict and Reconciliation Processes between Affective/Social Robots and Humans

Alvarez Pardo, Guillermo y Fabregas, Ernesto . (2023) Conflict and Reconciliation Processes between Affective/Social Robots and Humans.

Ficheros (Some files may be inaccessible until you login with your e-spacio credentials)
Nombre Descripción Tipo MIME Size
FINAL_Article_Sep2_2023_CRP_IEEE_Access.pdf FINAL_Article_Sep2_2023_CRP_IEEE_Access.pdf application/pdf 2.38MB

Título Conflict and Reconciliation Processes between Affective/Social Robots and Humans
Autor(es) Alvarez Pardo, Guillermo
Fabregas, Ernesto
Materia(s) Ingeniería Informática
Abstract Most research on affective computing relates to recognizing and classifying emotions, usually through facial or body expressions, linguistics, electroencephalograms or other biosignals. A variety of authors have pointed out that for social and affective robots to establish effective, deep and durable bonds with humans, they must emulate human interactions as closely as possible; however, there are aspects of human behavior and interactions, like disputes and resolutions, that have been left aside from the design of such robots. This article introduces a non-intrusive, low-cost system that allows robots to recognize and simulate affections and personality on the basis of human-robot actions, while also allowing robots to recognize and shape the human’s character and the nature of their relationship. It provides a system for robots to trigger and carry out conflict and reconciliation processes with humans.
Palabras clave affective computing
social affective robots
automatic learning
artificial intelligence
conflict resolution
Editor(es) IEEE Access
Fecha 2023-09-07
Formato application/pdf
Identificador bibliuned:557-Galvarez
http://e-spacio.uned.es/fez/view/bibliuned:557-Galvarez
DOI - identifier https://doi.org/10.1109/ACCESS.2023.3312687
ISSN - identifier 2169-3536
Nombre de la revista IEEE Access
Número de Volumen 99
Página inicial 1
Página final 15
Idioma eng
Versión de la publicación acceptedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales The registered version of this article, published in IEEE Access, is available online: https://doi.org/10.1109/ACCESS.2023.3312687
Notas adicionales La versión registrada de este artículo, publicado por IEEE Access el 7-9-2023, está disponible en línea: https://doi.org/10.1109/ACCESS.2023.3312687

 
Versiones
Versión Tipo de filtro
Contador de citas: Google Scholar Search Google Scholar
Estadísticas de acceso: 421 Visitas, 37 Descargas  -  Estadísticas en detalle
Creado: Mon, 11 Sep 2023, 21:56:51 CET