发表机构
Cornell University; Cornell Tech（康奈尔大学; 康奈尔理工学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过18名参与者的场景反思，探讨AI如何支持虚拟协作中的盟友关系，提出设计指南，强调AI应辅助而非取代人际支持。
AI 中文摘要
近期研究表明，虚拟协作中的无障碍性不仅是技术问题，还依赖于盟友关系：即人们通过非正式的、人际间的实践来支持他人的无障碍需求。然而，很少有研究探讨人工智能（AI）如何在协作性无障碍情境中支持盟友关系。为弥补这一空白，我们开展了一项研究，其中18名参与者（10名残障人士，8名非残障人士）对四种涉及新型AI工具的盟友关系场景进行了反思。参与者重视那些他们预期能帮助队友表达、解释和协调无障碍需求、减少重复披露并使盟友关系更具可操作性的AI设计。同时，当AI未经同意行事、歪曲用户意图或取代盟友关系的人际工作时，参与者表达了担忧。基于我们的发现，我们引入了盟友关系支持工具作为一类无障碍技术，提供了设计指南，并特别讨论了AI作为支持盟友关系的一种手段。
英文摘要
Recent research has revealed that accessibility in virtual collaboration is not only a technical problem but also depends on allyship: the informal, interpersonal practices through which people support others' accessibility needs. Yet little research has examined how artificial intelligence (AI) might support allyship in collaborative accessibility contexts. To address this gap, we conducted a study where 18 participants (10 disabled, 8 non-disabled) reflected on four allyship scenarios with novel AI tools. Participants valued AI designs that they anticipated could help teammates express, interpret, and coordinate around access needs by reducing repeated disclosure and making allyship more actionable. At the same time, participants raised concerns when AI acted without consent, misrepresented users' intentions, or displaced the interpersonal work of allyship. Based on our findings, we introduce allyship-support tools as a class of accessibility technologies, offer design guidelines, and discuss AI in particular as a means of supporting allyship.
