More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI
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arXiv
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| Format: | Preprint |
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2025
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| author | Fabre, Émilie Seaborn, Katie Koiwai, Shuta Watanabe, Mizuki Riesch, Paul |
| author_facet | Fabre, Émilie Seaborn, Katie Koiwai, Shuta Watanabe, Mizuki Riesch, Paul |
| contents | Longitudinal engagement with generative AI (GenAI) storytelling agents is a timely but less charted domain. We explored multi-generational experiences with "Dreamsmithy," a daily dream-crafting app, where participants (N = 28) co-created stories with AI narrator "Makoto" every day. Reflections and interactions were captured through a two-week diary study. Reflexive thematic analysis revealed themes likes "oscillating ambivalence" and "socio-chronological bonding," highlighting the complex dynamics that emerged between individuals and the AI narrator over time. Findings suggest that while people appreciated the personal notes, opportunities for reflection, and AI creativity, limitations in narrative coherence and control occasionally caused frustration. The results underscore the potential of GenAI for longitudinal storytelling, but also raise critical questions about user agency and ethics. We contribute initial empirical insights and design considerations for developing adaptive, more-than-human storytelling systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_23780 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI Fabre, Émilie Seaborn, Katie Koiwai, Shuta Watanabe, Mizuki Riesch, Paul Human-Computer Interaction Artificial Intelligence Computers and Society Sound Audio and Speech Processing Longitudinal engagement with generative AI (GenAI) storytelling agents is a timely but less charted domain. We explored multi-generational experiences with "Dreamsmithy," a daily dream-crafting app, where participants (N = 28) co-created stories with AI narrator "Makoto" every day. Reflections and interactions were captured through a two-week diary study. Reflexive thematic analysis revealed themes likes "oscillating ambivalence" and "socio-chronological bonding," highlighting the complex dynamics that emerged between individuals and the AI narrator over time. Findings suggest that while people appreciated the personal notes, opportunities for reflection, and AI creativity, limitations in narrative coherence and control occasionally caused frustration. The results underscore the potential of GenAI for longitudinal storytelling, but also raise critical questions about user agency and ethics. We contribute initial empirical insights and design considerations for developing adaptive, more-than-human storytelling systems. |
| title | More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI |
| topic | Human-Computer Interaction Artificial Intelligence Computers and Society Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2505.23780 |