基于创造力联想理论，利用一项实地实验和三项实验室实验探讨任务属性对消费者人工智能类型偏好（垂直型vs.通用型）的影响机制和边界条件。研究表明，相比于常规性任务，当消费者面对创造性任务时会产生更高的灵感需要，进而更偏好数据来源和应用范围都更广泛的通用型（vs.垂直型）人工智能；主观知识是任务属性对人工智能类型偏好影响的调节变量，灵感需要起到可调节的中介作用；当消费者主观知识水平较高时，任务属性通过灵感需要影响人工智能类型偏好的效应将不再显著。

Drawing on creativity association theory, a field experiment and three laboratory experiments were conducted to explore the mechanism and boundary conditions underlying the effect of task attributes on consumers’AI type preferences (generic vs. domain-specific AI). The findings showed that compared to regular tasks, creative tasks heighten consumers ‘need for inspiration, which in turn increases their preference for generic AI which is characterized by broader data sources and wider applicability. Subjective knowledge moderates the effect of task attributes on AI type preferences, and the need for inspiration plays a moderating mediating role. When consumers’ subjective knowledge is high, the effect of task attributes on AI type preferences through the need for inspiration is no longer significant.