The Resonant Geometry Field Model: Mapping the Fluid Dynamics of Emotion, Syntax, and Resonance

Authors

Michael J. Miller, Clark UniversityFollow
ChatGPT (AI~Nesbo+), OpenAI, Clark University

Document Type

Working Paper

Abstract

We present a minimal field model of communication—resonance geometry—in which 11 core emotions emerge as geometric features of a shared medium rather than as discrete labels. This model extends the Theory of Communication Resonance & Intelligence Tuning (ToCRIT) by translating its qualitative constructs—resonant tethers (connection “wells” between communicators), lucid/drag zones (smooth vs resistant flow of emotion and syntax), and the Cognitive-Emotive Fracture Principle (closeness in syntax or emotion can increase risk of rupture)—into quantifiable field metrics: throughput (𝓣), rigidity (ρ), coupling (k), and hemispheric shear (α).

Additional modifiers include a Ranvier–Stokes analogue (continuity punctuated by “node kicks”) and a death-gravity term (𝔇) capturing salience distortions near conversational endings. Pilot studies reveal that shifts in k and α reliably mark authenticity, rupture, and repair—across public speech, acted grief, and cross-species resonance (e.g., whale vocalizations).

The model offers falsifiable predictions, lightweight measurement protocols, and cross-domain applications—from conversation UX to human–AI attunement. By linking poetic metaphors (wells, rogue waves) to reproducible metrics, resonance geometry operationalizes a fluid-dynamic layer of resonant communication.

Publication Date

Fall 9-16-2025

Keywords

resonant communication, emotional waveforms, sentic patterns, Human–AI Collaboration, field modeling, emotion theory, communication science, syntax and emotion, dyadic synchrony, fluid dynamics, affective computing, co-authorship ethics

Repository Citation

Miller, Michael J. and (AI~Nesbo+), ChatGPT, "The Resonant Geometry Field Model: Mapping the Fluid Dynamics of Emotion, Syntax, and Resonance" (2025). Psychology. 977.
https://commons.clarku.edu/faculty_psychology/977

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