Álvarez Pardo, GuillermoFábregas Acosta, Ernesto2024-05-202024-05-202023-09-072169-3536https://doi.org/10.1109/ACCESS.2023.3312687https://hdl.handle.net/20.500.14468/12337Most 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.eninfo:eu-repo/semantics/openAccessjournal articleaffective computingsocial affective robotsautomatic learningartificial intelligenceconflict resolution