论文概要
研究领域: ML 作者: Blade Frisch, Will Wade, Dylan Gaines 发布时间: 2026-06-24 arXiv: 2506.14672
中文摘要
人工智能（AI）可以增强使用增强和替代沟通（AAC）的人们在其系统中的能力。然而，评估AI驱动的AAC界面可能很困难。人们是交叉性的存在，当前的评估指标可能难以捕捉人们对AAC的多方面和微妙需求。我们探索了六个AAC问题空间的复杂性质，探讨了AI如何在这些空间中使用，并建议了考虑人的交叉性细微差别的更稳健的评估方法。我们还讨论了这些问题空间中出现的一些更广泛的问题，以及如何使用我们提出的评估方法来解决它们。
原文摘要
Artificial intelligence (AI) can enhance what people who use augmentative and alternative communication (AAC) are able to do with their systems. However, evaluating AI-powered AAC interfaces can be difficult. People are intersectional beings and current evaluation metrics can struggle to capture the multifaceted and nuanced desires people may have for their AAC. We explore the complicated nature of six AAC problem spaces, explore how AI might be used in these spaces, and suggest more robust methods of evaluation that take the intersectional nuances of people into account. We also discuss broader issues that arise across these problem spaces and how they could be addressed using our proposed evaluation methods.
— 自动采集于 2026-06-25
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