| 摘要: |
| 目的 利用可视化文献分析方法，对AI数字人的发展脉络与研究现状进行归纳与总结，并结合现阶段数字人在数字化空间中应用情况的分析，尝试推断出未来研究与发展方向。方法 应用CiteSpace软件，以中国知网和Web of Science核心数据库为基础，通过发文趋势研究、核心作者分析、聚类分析和发文机构分析等方法，探索AI数字人领域的研究热点和趋势。结果 AI数字人以虚拟角色形象，通过“具象化”的方式进行互动性表现，无论对数字空间的构建，还是数字交互智能化发展均具有积极的市场前景。结论 国内外对AI数字人研究呈上升趋势，作者与科研机构之间的合作不断发展紧密，研究侧重点主要包括生命政治、人工智能、人机交互、媒体融合、数字乡村建设、深度学习等，将通过发展趋势分析尝试为未来研究AI数字人多样性构建提供更多思路。 |
| 关键词: 可视化分析 生成式AI 数字人 发展趋势 |
| DOI：10.19554/j.cnki.1001-3563.2024.20.051 |
| 分类号: |
| 基金项目:2024年江苏高校“青蓝工程”中青年学术带头人项目;江苏高校哲学社会科学重大研究项目(2023SJZD148);江苏高校哲学社会科学一般研究项目(2023SJYB0201);江苏开放大学科研平台(23-KYPT-H06);江苏省高职院校青年教师企业实践培训资助项目(2024SZJS-002) |
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| AI Digital Human Research and Development Inspiration Based on Visual Analysis |
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PAN Yue1, XU Erjie2, GAO Lihua3, MENG Gang1
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(1. School of Design, Jiangsu Open University, Nanjing 211899, China;2. School of Art, Huzhou University,Zhejiang Huzhou 313000, China;3. School of Art and Design, Nanjing Tech University, Nanjing 211899, China)
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| Abstract: |
| The work aims to use visualized literature analysis methods to summarize the development context and research status of AI digital human, combine the analysis of digital human's application in digital space at this stage, and try to infer future research and development directions. With the use of CiteSpace software, based on CNKI and Web of Science's core database, the research hotspots and trends of AI digital human were explored through the method of publishing the trend, core authors analysis, clustering analysis, and publishing agency analysis. AI digital human had the image of virtual role and performed interactivity through "concrete". Whether in the construction of digital space or in the intelligent development of digital interaction intelligence, it had a positive market prospect. In conclusion,the research on AI digital human is on the rise at home and abroad, and the cooperation between the author and scientific research institutions continues to develop closely. The research focuses mainly include life politics, artificial intelligence, human-computer interaction, media convergence, digital village construction, deep learning, etc., and the development trend analysis will try to provide more ideas for future research on the diversity construction of AI digital human. |
| Key words: visual analysis generating formula AI digital human development trend |
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