Narrative-Centered Emotional Reflection: Scaffolding Autonomous Emotional Literacy with AI
This addresses the need for scalable emotional literacy and psychological growth interventions in educational, therapeutic, and public health contexts, representing a novel application but with incremental technical components.
The paper tackles the problem of enabling structured emotional self-reflection at scale by developing Reflexion, an AI-powered platform that integrates emotion detection, reflective prompting, and storytelling generation, with pilot studies showing positive outcomes in emotional articulation, cognitive reframing, and perceived psychological resilience.
Reflexion is an AI-powered platform designed to enable structured emotional self-reflection at scale. By integrating real-time emotion detection, layered reflective prompting, and metaphorical storytelling generation, Reflexion empowers users to engage in autonomous emotional exploration beyond basic sentiment categorization. Grounded in theories of expressive writing, cognitive restructuring, self-determination, and critical consciousness development, the system scaffolds a progressive journey from surface-level emotional recognition toward value-aligned action planning. Initial pilot studies with diverse participants demonstrate positive outcomes in emotional articulation, cognitive reframing, and perceived psychological resilience. Reflexion represents a promising direction for scalable, theory-informed affective computing interventions aimed at fostering emotional literacy and psychological growth across educational, therapeutic, and public health contexts.