More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI
May 20, 2025 Β· Declared Dead Β· π CHI Extended Abstracts
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Authors
Γmilie Fabre, Katie Seaborn, Shuta Koiwai, Mizuki Watanabe, Paul Riesch
arXiv ID
2505.23780
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.CY,
cs.SD,
eess.AS
Citations
5
Venue
CHI Extended Abstracts
Last Checked
4 months ago
Abstract
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.
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