九位残障人士用生成式AI创作讲述自身经历的视频，探索其表达与分享的可能。
Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharing
- 基于数字叙事理论，研究残障者使用GenAI创作视频的过程。
- 发现四类核心能力：不可捕捉描绘、身份隐匿与呈现、情境真实一致、情感表达。
- 提出设计建议，优化生成内容的完整性、格式适配与纠错机制。
生成式AI（GenAI）在支持残障人士（PwDs）创作关于残疾经历的故事视频方面既具潜力又面临挑战。它能降低媒体制作门槛并激发创造力，但也可能引入偏见与缺陷，影响个人表达。本研究以一个残障倡导团体中的九位残障者为对象，探讨他们如何利用GenAI创作视频。基于数字叙事理论，分析其创作动机、表达方式与传播行为。研究提出‘重大描绘框架’，揭示GenAI在四个核心方面的功能与改进空间：不可捕捉的描绘、身份隐匿与表征、情境真实与一致性、情感传达。据此，进一步讨论了在故事完成度、媒体格式和纠错机制等方面的生成式AI设计启示。
原文摘要 · Abstract (English)
Generative AI (GenAI) is both promising and challenging in supporting people with disabilities (PwDs) in creating stories about disability. GenAI can reduce barriers to media production and inspire the creativity of PwDs, but it may also introduce biases and imperfections that hinder its adoption for personal expression. In this research, we examine how nine PwD from a disability advocacy group used GenAI to create videos sharing their disability experiences. Grounded in digital storytelling theory, we explore the motivations, expression, and sharing of PwD-created GenAI story videos. We conclude with a framework of momentous depiction, which highlights four core affordances of GenAI that either facilitate or require improvements to better support disability storytelling: non-capturable depiction, identity concealment and representation, contextual realism and consistency, and emotional articulation. Based on this framework, we further discuss design implications for GenAI in relation to story completion, media formats, and corrective mechanisms.
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