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Synapse
May 12, 20260 citationsOpen Access

Metacognition, Immersion, and Artificial Conversational Systems - Toward a Model of Cognitive-Corporeal Asymmetry

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GPGinevra Pigliacelli

Key Points

  • This framework investigates how interaction with conversational AI influences metacognition and immersion, particularly across different human dimensions.
  • Developed a theoretical framework based on existing literature.
  • Examined human-AI interaction through cognitive and emotional dimensions.
  • Positioned within the fields of cognitive ecology and embodied cognition.
  • Prolonged interaction may reduce regulatory interruptions during human-AI conversations.
  • Suggests possible persistence in attentional focus and reflective engagement.
  • Highlights the need for future empirical validation of the proposed framework.

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.

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Cite This Study

Ginevra Pigliacelli (2026) studied this question.

synapsesocial.com/papers/6a02c394ce8c8c81e9640ebbhttps://doi.org/10.5281/zenodo.20111347
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