This study investigates how anticipating an artificial intelligence agent versus human information source moderates the risk information seeking and processing model. It focuses on a behavioral proxy of seeking intention—how long a participant waited for an online consultant whose identity was manipulated. In two samples ( N1 = 182 students and N2 = 800 mturkers), the source identity consistently moderated the model in two ways: First, informational subjective norms encouraged seeking from humans but discouraged seeking from AI agents. Second, information insufficiency drove favoritism toward humans–when perceived information-gathering capacity was high. When the capacity was low, AI agents were favored.

中文翻译：

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论从人工智能代理与人类那里寻求信息的动机：风险信息寻求和处理的角度

本研究调查了预测人工智能代理与人类信息源如何调节风险信息搜索和处理模型。它关注的是寻求意图的行为代理——参与者等待身份被操纵的在线顾问的时间。在两个样本中（N1= 182 名学生和 N2= 800 mturkers），源身份始终以两种方式调节模型：首先，信息主观规范鼓励向人类寻求，但不鼓励向人工智能代理寻求。其次，当信息收集能力很高时，信息不足会导致对人类的偏爱。当容量较低时，AI代理受到青睐。