PDF(Pubmed)
Abstract：
The Web has become an essential resource but is not yet accessible to everyone. Assistive technologies and innovative, intelligent frameworks, for example, those using conversational AI, help overcome some exclusions. However, some users still experience barriers. This paper shows how a human-centered approach can shed light on technology limitations and gaps. It reports on a three-step process (focus group, co-design, and preliminary validation) that we adopted to investigate how people with speech impairments, e.g., dysarthria, browse the Web and how barriers can be reduced. The methodology helped us identify challenges and create new solutions, i.e., patterns for Web browsing, by combining voice-based conversational AI, customized for impaired speech, with techniques for the visual augmentation of web pages. While current trends in AI research focus on more and more powerful large models, participants remarked how current conversational systems do not meet their needs, and how it is important to consider each one\'s specificity for a technology to be called inclusive.
摘要：
网络已经成为一种必不可少的资源，但还不是每个人都可以访问的。辅助技术和创新，智能框架，例如,那些使用对话式人工智能的人，帮助克服一些排斥。然而,一些用户仍然遇到障碍。本文展示了以人为中心的方法如何阐明技术限制和差距。它报告了一个三步过程(焦点小组，共同设计，和初步验证)，我们采用了它来调查有语言障碍的人，例如，构音障碍,浏览Web以及如何减少障碍。该方法帮助我们识别挑战并创建新的解决方案，即，网页浏览的模式，通过结合基于语音的会话AI，为受损的语音定制，使用网页视觉增强技术。虽然人工智能研究的当前趋势集中在越来越强大的大型模型上，参与者评论了当前的对话系统如何不能满足他们的需求，以及如何考虑每个人的特殊性对于被称为包容性的技术是很重要的。
