提出三层次框架，让AI更好辅助残障人士协作完成复杂任务。
Channelling, Coordinating, Collaborating: A Three-Layer Framework for Disability-Centered Human-Agent Collaboration
- 构建渠道、协调、共创三层架构，促进能力互补者协同
- 将AI定位为有边界的合作伙伴，而非单一用户工具
- 适合残障协作研究、无障碍AI系统设计者参考
当前的AI无障碍工具多面向个体使用，仅帮助单一人克服特定功能障碍。但许多残障人士需通过与具备互补能力者协作完成复杂任务，而非独立行动。本文提出一个三层次框架——渠道（Channelling）、协调（Coordinating）、共创（Co-Creating），重新定义AI在能力多样协作中的角色：建立跨能力的共享信息基础，调解不同能力合作者间的协作流程，并作为有边界的伙伴共同实现目标。该框架基于能力多样性协作理论、接地理论及Carlile的3T框架，拓展了‘智能体作为远程协作者’的愿景，强调现实中残障人士已有的协作依赖关系。
原文摘要 · Abstract (English)
AI accessibility tools have mostly been designed for individual use, helping one person overcome a specific functional barrier. But for many people with disabilities, complex tasks are accomplished through collaboration with others who bring complementary abilities, not solitary effort. We propose a three-layer framework, Channelling, Coordinating, and Co-Creating, that rethinks AI's role in ability-diverse collaboration: establishing shared informational ground across abilities, mediating workflows between collaborators with different abilities, and contributing as a bounded partner toward shared goals. Grounded in the Ability-Diverse Collaboration framework, grounding theory, and Carlile's 3T framework, it extends the ``agents as remote collaborators'' vision by centring the collaborative, interdependent ways people with disabilities already work.
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