随着人工智能商业化的兴起，企业纷纷向消费者推出AI产品和服务，然而消费者对不同类型的 AI产品和服务的评价却大相径庭。不同于以往仅关注 AI特质或用户特质等单一视角的研究，本文通过构建“人一AI技术一任务”的综合交互模型更为全面地探讨该现象的成因和边界条件。5项情景模拟实验表明：新手用户（vs.专家用户）更偏好AI主导型（vs.AI辅助型）产品和服务。原因在于 AI主导型产品和服务更容易激发新手用户（vs.专家用户）的积极机器启发式（vs.消极机器启发式）。该效应在高任务复杂性的情境中会被增强，但在低任务复杂性的情境中，专家用户的消极机器启发式则会被削弱。研究结论为解读不同用户对不同AI产品的差异化响应提供了新的视角和方向，同时也为企业的产品/服务设计与推广策略提供了重要的指导和建议。

With the rise of AI commercialization, companies are launching AI products and services to consumers. However, consumers’ evaluation of these AI products and services vary significantly. Unlike previous studies that focused solely on the characteristics of either AI or the user, this study explores the causes and boundary conditions of this phenomenon more comprehensively by constructing a synthesized interaction model of "human-AI technology-task". Five scenario experiments revealed that novice users ( vs. expert users) preferred AI-dominated (vs. AI-assisted) products and services. The reason is that AI-dominated products tend to inspire positive (vs. negative) machine heuristics in novices (vs. experts). This elffect is amplified in contexts with high task complexity, while experts’ negative machine heuristic is weakened in low. These findings provide new insights and directions for understanding the distinctive responses of different users to various AI products, and also offer important guidance on product and service design and outreach strategy for companies.