The Five-Dimensional Innovation Model: A Conceptual Framework for Distinguishing Human and Artificial Cognition

This paper introduces the Five-Dimensional Innovation Model (FDIM), a novel conceptual framework for systematically assessing the fundamental gap between Large Language Models (LLMs) and human innovative capacity. While LLMs demonstrate impressive linguistic fluency and pattern recognition, they lack the cognitive ecology necessary for genuine innovation. The FDIM identifies five essential dimensions—Embodiment, Embeddedness, Enactment, Extension, and Meta-Awareness—that constitute the lived structure of human innovation. Through phenomenological and cognitive science perspectives, this paper argues that innovation is not merely the generation of novel outputs but the unfolding of awareness through experiential engagement with the world. LLMs operate within a reduced-dimensional cognitive plane, producing syntactic novelty without semantic depth, contextual relevance, or self-reflective growth. The framework concludes by proposing pathways toward artificial innovation through experiential learning architectures, embedded awareness systems, enactive feedback mechanisms, co-creative partnerships, and meta-cognitive capabilities. This work contributes a theoretical foundation for rethinking artificial intelligence beyond computational scaling toward enriched, dimensionally complete cognition.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-14
DOI
https://doi.org/10.5281/zenodo.17346445
Primary Topic
Cell Image Analysis Techniques
Type
article
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article

The Five-Dimensional Innovation Model: A Conceptual Framework for Distinguishing Human and Artificial Cognition

Zenodo (CERN European Organization for Nuclear Research)
Cell Image Analysis Techniques
article

The Five-Dimensional Innovation Model: A Conceptual Framework for Distinguishing Human and Artificial Cognition

article en

Abstract

This paper introduces the Five-Dimensional Innovation Model (FDIM), a novel conceptual framework for systematically assessing the fundamental gap between Large Language Models (LLMs) and human innovative capacity. While LLMs demonstrate impressive linguistic fluency and pattern recognition, they lack the cognitive ecology necessary for genuine innovation. The FDIM identifies five essential dimensions—Embodiment, Embeddedness, Enactment, Extension, and Meta-Awareness—that constitute the lived structure of human innovation. Through phenomenological and cognitive science perspectives, this paper argues that innovation is not merely the generation of novel outputs but the unfolding of awareness through experiential engagement with the world. LLMs operate within a reduced-dimensional cognitive plane, producing syntactic novelty without semantic depth, contextual relevance, or self-reflective growth. The framework concludes by proposing pathways toward artificial innovation through experiential learning architectures, embedded awareness systems, enactive feedback mechanisms, co-creative partnerships, and meta-cognitive capabilities. This work contributes a theoretical foundation for rethinking artificial intelligence beyond computational scaling toward enriched, dimensionally complete cognition.

Zenodo (CERN European Organization for Nuclear Research)
American University of Beirut (LB)
Partnerships for the goals
Openalex Percentile: Top 30%
Cell Image Analysis Techniques
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