期刊
IEEE ACCESS
卷 11, 期 -, 页码 114811-114824出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2023.3312687
关键词
Robots; Behavioral sciences; Character recognition; Affective computing; Robot sensing systems; Emotion recognition; Social robots; Artificial intelligence; Human factors; social affective robots; automatic learning; artificial intelligence; conflict resolution
Most research in affective computing focuses on recognizing and classifying emotions, but little attention has been paid to aspects of human behavior and interaction like disputes and resolutions in the design of social and affective robots. This article introduces a non-intrusive, low-cost system that allows robots to recognize and simulate affections, personality, and relationships through human-robot interactions.
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.
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