AIGC驱动下电商用户消费决策过程分析：信息获取，认知评价与购买行为
Analysis of E-Commerce Users’ Consumption Decision-Making Process Driven by AIGC: Information Acquisition, Cognitive Evaluation, and Purchase Behavior

本文深入分析了AIGC (人工智能生成内容)驱动下电商用户消费决策过程的变化。研究表明，AIGC技术通过个性化推荐、智能客服、内容创作等多种方式，显著提升信息获取的广度与深度，拓宽信息渠道并提高内容精准度。这一技术不仅促进用户认知水平的提高和用户评价体系的完善，还推动消费者决策行为路径的革新，压缩链式决策流程，形成人机协作机制。AIGC技术的应用为电商平台带来了更高的效益，提升用户体验和满意度。本文的研究结果对电商领域的发展具有重要参考价值，为电商平台如何更好地应用AIGC技术以满足消费者需求提供了指导，同时也为未来研究指明了方向。
This paper deeply analyzes the changes in the consumption decision-making process of e-commerce users driven by AIGC (artificial intelligence generated content). The research shows that AIGC technology significantly improves the breadth and depth of information acquisition, broadens information channels and improves the accuracy of content through personalized recommendation, intelligent customer service, content creation and other methods. This technology not only enhances user awareness and improves user evaluation systems, but also promotes the innovation of consumer decision-making behavior path, compresses the chain-like decision-making process, and forms a human-machine collaboration mechanism. The application of AIGC technology has brought higher benefits to e-commerce platforms, improving user experience and satisfaction. The research results of this paper have important reference value for the development of e-commerce field, provide guidance for e-commerce platforms on how to better apply AIGC technology to meet consumer needs, and also point out the direction for future research.