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Narrative-Centered Emotional Reflection: An Early Prototype for AI-Supported Emotional Self-Reflection
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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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Cited by 1 Pith paper
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Aether Weaver: Multimodal Affective Narrative Co-Generation with Dynamic Scene Graphs
An integrated storytelling framework that generates text, scene graphs, images, and sound together reports higher expert-rated coherence than a sequential baseline, but the evaluation is small and qualitative.
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