More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI
By: Émilie Fabre , Katie Seaborn , Shuta Koiwai and more
Potential Business Impact:
AI helps people write stories together every day.
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.
Similar Papers
Constructing AI ethics narratives based on real-world data: Human-AI collaboration in data-driven visual storytelling
Human-Computer Interaction
Creates true stories about AI for better rules.
Reflection on Data Storytelling Tools in the Generative AI Era from the Human-AI Collaboration Perspective
Human-Computer Interaction
AI helps people tell stories with data.
Generative AI and News Consumption: Design Fictions and Critical Analysis
Human-Computer Interaction
AI news might make us understand things less.