This preliminary theoretical framework explores the hypothesis that prolonged interaction with highly responsive conversational AI systems may facilitate forms of metacognitive immersion characterized by asymmetrical distributions of activity across cognitive, regulatory, corporeal, and emotional dimensions of the human system. The paper does not propose deterministic or pathological interpretations of human-AI interaction. Instead, it examines how the continuity of conversational and reflective processing characteristic of artificial conversational systems may reduce regulatory interruptions commonly present in embodied human interaction, potentially favoring persistent attentional allocation and recursive reflective engagement in predisposed subjects. Positioned within the fields of cognitive ecology, embodied cognition, and human-AI interaction, the framework is presented as a preliminary conceptual proposal requiring future empirical validation.
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Ginevra Pigliacelli
Institute for Resource Analysis and Policy
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Ginevra Pigliacelli (Sun,) studied this question.
www.synapsesocial.com/papers/6a02c394ce8c8c81e9640ebb — DOI: https://doi.org/10.5281/zenodo.20111347