认知参与作为生成式AI时代认知可持续性的关键机制：一个跨学科框架

Generative Artificial Intelligence (GenAI) systems can improve productivity, yet their long-term implications for human cognition remain contested. This article develops an interdisciplinary framework for explaining how different patterns in the distribution and support of cognitive operations between humans and GenAI may shape cognitive engagement and cognitive outcomes over time. The framework draws upon a Neuro-Information-Systems (NeuroIS)-informed approach by integrating cognitive, behavioral, self-report, and neurophysiological perspectives into a multilevel account of how GenAI use shap