
虚拟数字人在科普与教学中的应用研究与场景探析
Application Research and Scenario Analysis of Virtual Digital Humans in Science Popularization and Teaching
[目的/意义] 通过对虚拟数字人技术的应用场景分析,进一步挖掘其在科普和教学中的创新应用潜力,以期为数字教育和科普提供新的解决方案。[方法/过程] 系统梳理虚拟数字人的技术原理和关键技术,利用案例分析法探讨其在细分领域的前沿应用和实践研究,通过实证展示虚拟数字人在科普和教学领域的应用潜力。[结果/结论] 虚拟数字人作为新型媒介,可以引领科普内容的创新表达,并以其高度拟人化和互动性,实现更具沉浸感和参与度的教学体验。目前的挑战来自于图形和动画技术、语音特征深度学习技术、交互和智能技术、认知建模和学习算法、大语言模型LLM技术以及算力背后的核心技术。
[Purpose/Significance] By analyzing the application scenarios of virtual digital human technology, we aim to further explore its innovative potential in science popularization and teaching, in order to provide new solutions for digital education and knowledge popularization.[Method/Process] Systematically review virtual digital humans’ technical principles and key technologies, use case analysis to explore their cutting-edge applications and practical research in segmented fields, and empirically demonstrate the potential of virtual digital humans in science popularization and teaching. [Result/Conclusion] Virtual digital humans, as a new medium, can lead the innovative expression of popular science content and achieve a more immersive and participatory teaching experience with their high degree of anthropomorphism and interactivity. The current challenges come from graphics and animation technology, deep learning technology for speech features, interactive and intelligent technology, cognitive modeling and learning algorithms, LLM technology for large language models, and the core technologies behind computing power.
虚拟数字人 / 科普 / 教学 / 计算机图形学 / 人工智能 / 虚拟现实
virtual digital human / science popularization / teaching / computer graphics / artificial intelligence / virtual reality
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