用AI每天共写故事，发现人机长期叙事中的情感与控制矛盾。
More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI
- 28人连续两周与AI共同创作梦境故事，记录互动与反思。
- 用户既欣赏AI创意与个人化内容，也因叙事不连贯而感到挫败。
- 适合关注人机长期协作、情感陪伴设计的研究者与开发者。
与生成式AI（GenAI）进行长期叙事互动是一个紧迫但尚待探索的领域。我们研究了“Dreamsmithy”这款每日梦境创作应用中，28名参与者与AI叙述者“Makoto”每日共创故事的多代际体验。通过为期两周的日记研究，收集反思与互动数据。反射性主题分析揭示出“摇摆不定的矛盾感”和“社会时间性联结”等主题，凸显了个体与AI叙述者随时间推移产生的复杂动态。尽管用户赞赏个性化笔记、反思机会及AI创造力，但叙事连贯性与控制力不足时常引发挫败感。结果表明，GenAI在长期叙事中具有潜力，但也提出了关于用户自主权与伦理的关键问题。本文贡献了初步实证洞察与适应性跨主体叙事系统的设计考量。
原文摘要 · Abstract (English)
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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