Metacognition, Immersion, and Artificial Conversational Systems - Toward a Model of Cognitive-Corporeal Asymmetry
Ginevra Pigliacelli
Zenodo (CERN European Organization for Nuclear Research) May 10, 2026 preprint DOI: 10.5281/zenodo.20111346 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Key points | Proposes that continuous, highly responsive conversational AI may reduce regulatory interruptions common in embodied human interaction, potentially fostering persistent attentional allocation and recursive reflective engagement in predisposed individuals, a state the author terms 'metacognitive immersion.' The framework is offered as a preliminary conceptual proposal requiring empirical validation, not as a deterministic or pathological claim. |
Abstract
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.