自然用户界面在智能家居系统中的应用路径创新研究:生成式人工智能技术的调节作用

目的 ChatGPT类生成式人工智能技术具有嵌入用户界面和智能家居系统的诸多可能。通过分析生成式人工智能技术的调节影响机制，探究自然用户界面在智能家居系统中的应用创新路径。方法 首先，根据相关文献梳理归纳生成式人工智能技术的特征、智能家居系统及自然用户界面的关键影响因素;其次，通过因子聚类分析形成生成式人工智能技术的量化维度;最后，使用分层回归分析方法检验生成式人工智能技术在自然用户界面与用户体验之间的调节影响机制。结果 生成式人工智能技术存在三个量化维度，分别为学习能力、智能个性化和上下文感知。此外，生成式人工智能技术分别在界面质量、交互方式和用户体验之间具有正向调节作用，而在系统安全性和用户体验之间调节作用并不显著。结论 生成式人工智能技术的显著调节作用表明，将其集成到自然用户界面中可能是一条行之有效的应用创新路径。然而，在当前的智能家居系统中，尽管生成式人工智能技术为自然用户界面的应用创新提供了可观的驱动潜力，但尚未增强安全性在改善用户体验方面的作用。这也表明安全性会成为未来主要研究的潜在领域之一。

Application Path Innovation of Natural User Interface in Smart Home System:Moderating Effect of Generative Artificial Intelligence Technology

ChatGPT-like generative artificial intelligence technology has many possibilities to be embedded in user interfaces and smart home systems. The work aims to explore the application innovation path of natural user interfaces in smart home systems by analyzing the regulatory influence mechanism of the generative artificial intelligence technology. First, according to related literature, characteristics of the generative artificial intelligence technology, key influencing factors of smart home systems and natural user interfaces were summarized. Secondly, the quantitative dimension of the generative artificial intelligence technology was formed through factor cluster analysis. Finally, the hierarchical regression analysis method was used to test the moderating influence mechanism of the generative artificial intelligence technology between the natural user interface and user experience. The generative artificial intelligence technology had three quantitative dimensions, namely learning ability, intelligent personalization and context awareness. In addition, it had a positive moderating effect on interface quality, interaction modalities and user experience, but its moderating effect on system security and user experience was not significant. The significant moderating effect of the generative artificial intelligence technology suggests that its integration into natural user interfaces may be a proven path to applied innovation. However, the role of security in improving user experience has not yet been enhanced, although the generative artificial intelligence technology offers considerable driving potential for application innovation of natural user interfaces. But it also shows that security could be one of the potential areas of major future research.