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July 7, 20260 citationsOpen Access

Collaborative Cognition: Toward a Theory of Resonant Human–AI Collaboration

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ASAndrzej Skulski

Key Points

  • The aim is to develop a framework for analyzing Human–AI interactions as a cognitive process rather than mere information exchange.
  • Introduced a conceptual framework for Human–AI interaction.
  • Explored cognitive productivity through interaction, resonance, and iterative processes.
  • Proposed conditions for Human–AI collaboration to enhance cognitive outcomes.
  • Identified theoretical implications for future empirical studies in Human–AI interactions.

Abstract

Collaborative Cognition introduces a conceptual framework for understanding sustained Human–AI interaction as an emergent cognitive process rather than a simple exchange of information. Instead of treating intelligence as a property of isolated participants, the paper investigates the conditions under which interaction itself becomes cognitively productive through iterative reconstruction, resonance, and conceptual emergence. The work is intended as a conceptual research program designed to encourage future empirical investigation.

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Cite This Study

Andrzej Skulski (2026) studied this question.

synapsesocial.com/papers/6a4c96be331bc25c9e5f40aehttps://doi.org/10.5281/zenodo.21183813
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