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Narrative-Centered Emotional Reflection: An Early Prototype for AI-Supported Emotional Self-Reflection

Researchers introduced Reflexion, an AI-powered prototype for structured emotional self-reflection that integrates emotion detection, layered prompting, and metaphorical storytelling. The system guides users from emotional recognition to value-aligned action planning, grounded in expressive writing and cognitive restructuring theories. Informal feedback suggests the layered model is understandable, but no empirical efficacy claims are made.

read1 min views1 publishedJul 8, 2026

arXiv:2504.20342v2 Announce Type: replace-cross Abstract: Reflexion is an AI-powered prototype designed to explore structured emotional self-reflection. By integrating emotion detection, layered reflective prompting, and metaphorical storytelling generation, Reflexion was intended to support users in autonomous emotional exploration beyond basic sentiment categorization. Grounded primarily in expressive writing, cognitive restructuring, and self-determination theory, the system was designed to organize reflection as a progressive pathway from surface-level emotional recognition toward value-aligned action planning. Its final action-planning layer is additionally informed by broader questions of agency and empowerment, which remain future directions rather than fully implemented mechanisms in the current prototype. Informal design feedback indicated that some reviewers found the layered interaction model understandable and potentially useful; no empirical efficacy claims are made. As an early prototype, Reflexion documents one direction in theory-informed affective computing.

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