在纠缠的人机交互中提升元认知以应对认知行为漂移
Boosting metacognition in entangled human-AI interaction to navigate cognitive-behavioral drift
AI总结：
提出一个基于人类认知不变特征和元认知的框架，通过识别纠缠、漂移和元认知干预点，解决AI对话代理引发的认知行为漂移问题。
摘要：
人们使用线索、启发式和其他策略来导航复杂环境，这些策略在稳定环境中通常是适应性的。然而，随着人工智能日益渗透到社会的信息环境中，这些环境变得更加适应性和进化性：基于LLM的聊天机器人参与扩展交互，维护对话历史，镜像社交线索，并可以超个性化响应，从而不仅塑造了访问的信息，还塑造了问题的提出方式、证据的解释方式以及何时感觉行动是合理的。在这里，我们提出了一个持续人机交互的框架，该框架基于人类认知和人机交互的不变特征，并围绕三个相互关联的现象：用户与AI系统之间的纠缠、重复交互中认知和行为漂移的出现，以及元认知在意识和调节这些动态中的作用。随着对话代理提供人们视为信息性的线索（例如流畅性、连贯性、响应性），主观信心和行动准备可能会增加，而无需相应的认知可靠性增益，使得漂移难以检测和纠正。我们在微观、中观和宏观层面上描述了这些动态。该框架确定了四个元认知干预点和提供元认知脚手架（提升和自我助推）的心理知情干预措施。最后，我们概述了一个长期的研究议程，以实现科学预见。
英文摘要：
People navigate complex environments using cues, heuristics, and other strategies, which are often adaptive in stable settings. However, as AI increasingly permeates society's information environments, those become more adaptive and evolving: LLM-based chatbots participate in extended interaction, maintain conversational histories, mirror social cues, and can hypercustomize responses, thereby shaping not only what information is accessed but how questions are framed, how evidence is interpreted, and when action feels warranted. Here we propose a framework for sustained human-AI interaction that rests on invariant features of human cognition and human--AI interaction and centers on three interlinked phenomena: entanglement between users and AI systems, the emergence of cognitive and behavioral drift over repeated interactions, and the role of metacognition in the awareness and regulation of these dynamics. As conversational agents provide cues (e.g., fluency, coherence, responsiveness) that people treat as informative, subjective confidence and action readiness may increase without corresponding gains in epistemic reliability, making drift difficult to detect and correct. We describe these dynamics across micro-, meso-, and macro-levels. The framework identifies four metacognitive intervention points and psychologically informed interventions that provide metacognitive scaffolding (boosting and self-nudging). Finally, we outline a long-horizon research agenda for scientific foresight.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
