共同设计基于语音的对话AI和Web增强的集成,以扩大Web包容性
Emanuele Pucci1, Ludovica Piro2, Isabella Possaghi3
1Politecnico di Milano, Milan, Italy. emanuele.pucci@polimi.it.
Scientific reports
|July 13, 2024
概括
这项研究使用以人为中心的方法来改善语言障碍患者的网络可访问性. 调查结果显示,定制的对话AI和视觉网页增强可以减少障碍,强调个性化的技术而不是大型模型.
科学领域:
- 人与计算机的交互
- 辅助技术 辅助技术 辅助技术
- 网页可访问性 网页可访问性
背景情况:
- 互联网至关重要,但并非普遍可用.
- 辅助技术和人工智能框架有所帮助,但对于一些用户来说,仍然存在障碍.
- 语音障碍,如失声症,对网络导航构成独特的挑战.
研究的目的:
- 调查语言障碍者在网上浏览时所面临的挑战.
- 识别当前网络可访问性解决方案中的技术局限性和缺口.
- 开发和验证新的以人为中心的解决方案,以实现包容性网络浏览.
主要方法:
- 一个三个步骤的过程,包括焦点小组,共同设计研讨会和初步验证.
- 调查言语障碍患者的网络浏览行为.
- 开发和结合基于语音的对话AI (定制用于语音障碍) 与视觉网页增强技术.
主要成果:
- 识别了语言障碍用户在浏览网络时遇到的具体挑战和障碍.
- 通过将定制的对话AI与视觉增强集成,为网页浏览创建了新的模式.
- 突出了用户反,即当前的对话性AI系统往往无法满足特定需求,尽管大型AI模型的进步.
结论:
- 以人为中心的方法对于发现和解决网络可访问性的技术局限性至关重要.
- 量身定制的辅助技术,结合定制的人工智能和视觉辅助工具,可以显著减少语音障碍者浏览网络的障碍.
- 包容性技术设计需要关注个体特异性,而不是仅仅关注大型AI模型的力量.
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