LLM-assisted technologies are increasingly used to support cognitive processing and information interpretation, yet their role in aiding memory recall, and how people choose to engage with them, remains underexplored. We studied participants who watched a short robbery video (approximating a one-time eyewitness scenario) and composed recall statements using either a default GPT or a guided GPT prompted with a standardized eyewitness protocol. Results show that, in the default condition, participants who believed they had a clearer understanding of the event were more likely to trust GPT's output, whereas in the guided condition, participants showed stronger alignment between subjective clarity and actual recall. Additionally, participants evaluated the legitimacy of the individuals in the incident differently across conditions. Interaction analysis further revealed that default-GPT users spontaneously developed diverse strategies, including building on existing recollections, requesting potentially missing details, and treating GPT as a recall coach. This work shows how GPT-user interplay can subconsciously shape beliefs and perceptions of remembered events.

翻译：大型语言模型辅助技术正日益用于支持认知处理和信息解读，然而其在辅助记忆回忆方面的作用以及人们如何选择与之互动，仍缺乏深入探索。我们研究了观看一段简短抢劫视频（模拟一次性目击场景）的参与者，他们使用默认GPT或采用标准化目击者协议引导的GPT来撰写回忆陈述。结果显示，在默认条件下，自认为对事件理解更清晰的参与者更倾向于信任GPT的输出；而在引导条件下，参与者的主观清晰度与实际回忆之间表现出更强的一致性。此外，参与者对不同条件下事件中个体合法性的评估也存在差异。交互分析进一步揭示，默认GPT用户自发形成了多样化的策略，包括基于现有回忆进行扩展、请求可能遗漏的细节，以及将GPT视为回忆指导者。这项工作展示了GPT与用户的互动如何潜意识地塑造对记忆事件的信念与认知。