Survey and Perspective on Social Emotions in Robotics
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Abstract (arXiv)
This study reviews research on social emotions in robotics. In robotics, the study of emotions has been pursued for a long time, including the study of their recognition, expression, and computational modeling of the basic mechanisms which underlie them. Research has advanced according to well-known psychological findings, such as category and dimension theories. Many studies have been based on these basic theories, addressing only basic emotions. However, social emotions, also referred to as higher-level emotions, have been studied in psychology. We believe that these higher-level emotions are worth pursuing in robotics for next-generation, socially aware robots. In this review paper, we summarize the findings on social emotions in psychology and neuroscience, along with a survey of the studies on social emotions in robotics that have been conducted to date. Thereafter, research directions toward the implementation of social emotions in robots are discussed.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 9 of its 110 references that are in the map. First posted on arXiv 20 May 2021.
Builds on
9 of 110 references.
References · 9
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- 2018Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locationscited by 18
- 2020Robot self/other distinction: active inference meets neural networks learning in a mirrorcited by 12
- 2018Deep Emotion: A Computational Model of Emotion Using Deep Neural Networkscited by 4
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Citing papers per year: 2023: 1; 2024: 0; 2025: 1.
2 papers.