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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.20585 |
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| _version_ | 1866912557710704640 |
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| author | Jin, Seokho Kim, Manseo Byun, Sungho Kim, Hansol Lee, Jungmin Baek, Sujeong Kim, Semi Park, Sanghum Park, Sung |
| author_facet | Jin, Seokho Kim, Manseo Byun, Sungho Kim, Hansol Lee, Jungmin Baek, Sujeong Kim, Semi Park, Sanghum Park, Sung |
| contents | Reflective journaling often lacks personalization and fails to engage Generation Alpha and Z, who prefer visually immersive and fast-paced interactions over traditional text-heavy methods. Visual storytelling enhances emotional recall and offers an engaging way to process personal expe- riences. Designed with these digital-native generations in mind, this paper introduces Persode, a journaling system that integrates personalized onboarding, memory-aware conversational agents, and automated visual storytelling. Persode captures user demographics and stylistic preferences through a tailored onboarding process, ensuring outputs resonate with individual identities. Using a Retrieval-Augmented Generation (RAG) framework, it prioritizes emotionally significant memories to provide meaningful, context-rich interactions. Additionally, Persode dynamically transforms user experiences into visually engaging narratives by generating prompts for advanced text-to-image models, adapting characters, backgrounds, and styles to user preferences. By addressing the need for personalization, visual engagement, and responsiveness, Persode bridges the gap between traditional journaling and the evolving preferences of Gen Alpha and Z. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_20585 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Persode: Personalized Visual Journaling with Episodic Memory-Aware AI Agent Jin, Seokho Kim, Manseo Byun, Sungho Kim, Hansol Lee, Jungmin Baek, Sujeong Kim, Semi Park, Sanghum Park, Sung Human-Computer Interaction Reflective journaling often lacks personalization and fails to engage Generation Alpha and Z, who prefer visually immersive and fast-paced interactions over traditional text-heavy methods. Visual storytelling enhances emotional recall and offers an engaging way to process personal expe- riences. Designed with these digital-native generations in mind, this paper introduces Persode, a journaling system that integrates personalized onboarding, memory-aware conversational agents, and automated visual storytelling. Persode captures user demographics and stylistic preferences through a tailored onboarding process, ensuring outputs resonate with individual identities. Using a Retrieval-Augmented Generation (RAG) framework, it prioritizes emotionally significant memories to provide meaningful, context-rich interactions. Additionally, Persode dynamically transforms user experiences into visually engaging narratives by generating prompts for advanced text-to-image models, adapting characters, backgrounds, and styles to user preferences. By addressing the need for personalization, visual engagement, and responsiveness, Persode bridges the gap between traditional journaling and the evolving preferences of Gen Alpha and Z. |
| title | Persode: Personalized Visual Journaling with Episodic Memory-Aware AI Agent |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2508.20585 |