Synthesis working document outlines cognitive development and flow theory's role in collaborative AI, suggesting potential applications.
This synthesis working document is the primary research scaffold underlying the white paper "Human–AI Collaboration as Experiential Technology: A Behavioral and Developmental Framework for Flow States, Cognitive Development, and Collaborative Driven Progressive Intent Discovery (CDPID)" by Harlow Reseburg III (2026). The document compiles and synthesizes the foundational literature across five research traditions — distributed cognition (Hutchins, 1995), extended mind theory (Clark & Chalmers, 1998), flow theory (Csikszentmihalyi, 1990), expertise development and deliberate practice (Ericsson, 2016), and cognitive load theory (Sweller, 1988) — and traces how each tradition informs the CDPID framework. Included: annotated source summaries, cross-tradition synthesis notes, framework construction rationale, and working definitions for the six core CDPID constructs (Orchestral Bandwidth, Experiential Familiarity, Intent Crystallization, Collaborative Momentum, Adaptive Resonance, and Progressive Complexity Absorption). The companion white paper is available on SSRN (DOI: 10.2139/ssrn.6278438) and OSF PsyArXiv (https://osf.io/preprints/psyarxiv/rsa8h). US Copyright Registration Case # 1-15103984131.
No takes yet. Share an insight, caveat, or question.
Harlow Reseburg III (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: