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Narrative-Centered Emotional Reflection: Scaffolding Autonomous Emotional Literacy with AI

Shou-Tzu Han

TL;DR

This work addresses the need for scalable, autonomous emotional reflection beyond simple sentiment analysis. It presents Reflexion, an AI-driven platform that fuses real-time emotion detection, layered reflective prompts, and metaphorical storytelling within a theory-informed framework to guide users from surface emotional recognition to value-aligned action planning. The modular architecture (emotion detection, guided reflection, narrative generation) supports progressive emotional transformation and user agency. Preliminary pilot studies indicate improvements in emotional articulation, cognitive reframing, and perceived resilience, along with high usability; however, broader validation, cross-cultural adaptation, and ethical safeguards are identified as essential directions for future work. The study contributes to scalable affective computing with a narrative-informed, autonomy-supportive approach suitable for educational, therapeutic, and public health contexts.

Abstract

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.

Narrative-Centered Emotional Reflection: Scaffolding Autonomous Emotional Literacy with AI

TL;DR

This work addresses the need for scalable, autonomous emotional reflection beyond simple sentiment analysis. It presents Reflexion, an AI-driven platform that fuses real-time emotion detection, layered reflective prompts, and metaphorical storytelling within a theory-informed framework to guide users from surface emotional recognition to value-aligned action planning. The modular architecture (emotion detection, guided reflection, narrative generation) supports progressive emotional transformation and user agency. Preliminary pilot studies indicate improvements in emotional articulation, cognitive reframing, and perceived resilience, along with high usability; however, broader validation, cross-cultural adaptation, and ethical safeguards are identified as essential directions for future work. The study contributes to scalable affective computing with a narrative-informed, autonomy-supportive approach suitable for educational, therapeutic, and public health contexts.

Abstract

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.
Paper Structure (30 sections, 4 figures, 3 tables)

This paper contains 30 sections, 4 figures, 3 tables.

Table of Contents

  1. Introduction
  2. Related Work
  3. System Overview
  4. System Architecture: A Modular, Scalable Emotional Reflection Framework
  5. End-to-End Interaction Flow
  6. Design Philosophy: Centering Agency and Narrative Sovereignty
  7. Critical Design Tradeoffs
  8. Integration of Layers: Supporting Progressive Emotional Transformation
  9. Experiments
  10. Participant Recruitment and Profile
  11. Study Procedure
  12. Thematic Analysis and Key Findings
  13. Theme 1: Progressive Emotional Disclosure
  14. Theme 2: Cognitive Reframing through Metaphorical Narratives
  15. Theme 3: Perceived Autonomy and Emotional Safety
  16. ...and 15 more sections

Figures (4)

  • Figure 1: Sequential user journey in Reflexion, depicting emotional input, sequential reflective scaffolding across four layers, metaphorical narrative generation, and emotional reframing.
  • Figure 2: Self-reported improvement in emotional articulation (n=7).
  • Figure 3: Breakdown of participant feedback on system usability.
  • Figure 4: Self-reported cognitive resilience improvement (n=7).