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The Cognitive Trajectory Laboratory: Modeling the Creativ...
[Submitted on 20 Jun 2026] · 2026-06-23 · via cs updates on arXiv.org

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Abstract:Art therapy has demonstrated effectiveness across diverse clinical populations, and its theoretical traditions have generated valuable perspectives on symbolism, expression, narrative reconstruction, meaning-making, physiological responses, and neurobiological processes. While these approaches provide important accounts of therapeutic experience and change, they have placed comparatively less emphasis on how cognition, regulation, and interaction dynamics evolve during the creative process itself, making it difficult to analyze how creativity and therapeutic outcomes emerge through time. As a result, art therapy research continues to rely heavily on qualitative interpretation, outcome measures, and retrospective self-report, while the dynamics of therapeutic change remain difficult to quantify. This paper proposes an enactive, dynamical framework for understanding and measuring cognitive change in art therapy through the analysis of creative interaction dynamics over time. Within this framework, therapeutic change is hypothesized to be reflected in cognitive trajectories, temporally unfolding patterns of engagement that reveal shifts in stability, exploration, and adaptation. To operationalize this framework, the paper introduces the Cognitive Trajectory Laboratory (CTL), an instrumented drawing environment that transforms interaction traces into cognitive trajectories unfolding through time, enabling the identification of emergent properties, significant events, and overarching chapters of the creative process. By making the dynamics of creative engagement measurable, the proposed framework and accompanying laboratory provide new methodological tools for art therapy assessment and research while creating opportunities for longitudinal analysis of therapeutic change. Implications are discussed for process-oriented evaluation and computational modeling of creative engagement.

Submission history

From: Nicholas Davis [view email]
[v1] Sat, 20 Jun 2026 14:17:05 UTC (10,510 KB)