情感计算与数字经济高质量发展的知识图谱分析
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Knowledge Graph Analysis of Affective Computing and High-quality Development of Digital Economy
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    摘要:

    情感的识别和理解是类人智能机器的核心功能之一,并在数字经济高质量发展过程中发挥着愈发重要的角色。现阶段,针对人的情感做出智慧、灵敏、友好反应的计算系统正在多领域实现应用,计算机的拟人化程度不断提升,带来了人机共存社会交互模式的创新变革,形成了新的需求增长点,对经济社会发展产生了巨大的拉动作用。系统阐释了情感计算与消费转型升级、制造业数字化转型、数字经济治理的关系。通过中国知网检索CSSCI期刊中关于“情感计算”与“数字经济”在2014—2021年发表的文献,发现近年来发文量呈现显著增长态势,研究的重心从核心技术驱动逐步转向应用场景驱动,更加侧重于问题导向和需求导向。从情感计算与数字经济高质量发展的内在逻辑出发,总结了通过情感计算技术和应用,有效促进中国数字经济高质量发展的政策建议。

    Abstract:

    Emotion recognition and understanding is one of the core functions of human-like intelligent machines, and plays a more and more important role in the high-quality development of digital economy. At this stage, the computing system that makes intelligent, sensitive and friendly response to emotions is being applied in many fields. The continuous improvement of the anthropomorphism of the computer has brought about the innovation and reform of the human-computer coexistence social interaction mode, formed a new demand growth point, and plays a great pulling role in the economic and social development. The relationship between affective computing and consumption transformation and upgrading, manufacturing digital transformation and digital economic governance is explained. By searching the literature published in CSSCI journals on “emotional computing” and “digital economy” from 2014 to 2021 through CNKI, it is found that the number of papers published in recent years has shown a significant growth trend. The research focus has gradually shifted from core technology driven to application scenario driven, with more emphasis on problem oriented and demand oriented. Based on the internal logic of emotional computing and the high-quality development of digital economy, the policy suggestions is summarized to effectively promote the high-quality development of digital economy in China through emotional computing technology innovation.

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裴冠雄,吕栋,李太豪,汪严磊,徐若豪.情感计算与数字经济高质量发展的知识图谱分析[J].科技与产业,2022,22(05):118-126

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  • 在线发布日期: 2022-05-22
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