Affective Computing is a rapidly emerging inter-frontal discipline, and has become a hot topic in theoretical research in recent years. Emotional computing aims to create a computing system that can perceive, recognize and understand human emotions and can make intelligent, sensitive and natural responses to human emotions. Emotional computing is a basic technology and important prerequisite for realizing naturalization, anthropomorphism and personality human-computer interaction, and provides an optimization path for artificial intelligence decision-making.
"White Paper" uses an interlocking perspective of combining production, education and research, adhering to the "four-in-one" knowledge structure of concepts, theory, technology and application. It analyzes data on more than 20,000 papers from 1997 to 2022, depicts the panoramic view of the discipline of emotional computing and the cooperative ecology, provides a comprehensive introduction to emotional computing technology, and conducts quantitative analysis and case studies on academic achievements and application in this field.
The White Paper pointed out that multimodal emotion computing is one of the hottest topics in the field of artificial intelligence at present. The report "2021 Research Frontier Hot Index" released by the Chinese Academy of Sciences shows that related research hotspot indexes with "multimodal emotion computing" as the core rank in the top 10. According to the White Paper, human emotions are usually presented in multiple modal ways, and there is a phenomenon of multi-stage fusion when the brain integrates multi-sensory information. Compared with single-modal emotion calculations such as text, speech, vision, and physiological signals, multi-modal emotion analysis can effectively utilize the coordinated complementarity of different mode information to enhance emotional understanding and expression skills. The introduction of multimodal sentiment calculations is the key to improving the robustness and superiority of the model.
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