EchoAid：提升DHH群体的直播购物无障碍体验
EchoAid: Enhancing Livestream Shopping Accessibility for the DHH Community
AI总结：
针对DHH群体在直播购物中的信息获取障碍，开发了结合语音转文字、RSVP和LLM技术的移动应用EchoAid，有效简化信息流并降低认知负荷。
摘要：
直播购物平台常常忽视聋哑及听力障碍（DHH）群体的无障碍需求，导致信息获取困难和信息过载等障碍。为了应对这些挑战，我们开发了EchoAid，这是一款旨在改善DHH用户直播购物体验的移动应用。EchoAid利用先进的语音转文字转换、快速序列视觉呈现（RSVP）技术和大型语言模型（LLM）来简化直播销售环境中的复杂信息流。我们与八名DHH个体进行了探索性研究以确定设计需求，并根据三名参与者的反馈迭代开发了EchoAid原型。随后，我们在一个有38名DHH参与者参与的用户研究工作坊中评估了该系统的性能。我们的发现证明了EchoAid的成功设计与验证过程，突显了其增强产品信息提取的潜力，从而为DHH用户减轻认知过载，并带来更具吸引力和定制化的购物体验。
英文摘要：
Livestream shopping platforms often overlook the accessibility needs of the Deaf and Hard of Hearing (DHH) community, leading to barriers such as information inaccessibility and overload. To tackle these challenges, we developed \textit{EchoAid}, a mobile app designed to improve the livestream shopping experience for DHH users. \textit{EchoAid} utilizes advanced speech-to-text conversion, Rapid Serial Visual Presentation (RSVP) technology, and Large Language Models (LLMs) to simplify the complex information flow in live sales environments. We conducted exploratory studies with eight DHH individuals to identify design needs and iteratively developed the \textit{EchoAid} prototype based on feedback from three participants. We then evaluate the performance of this system in a user study workshop involving 38 DHH participants. Our findings demonstrate the successful design and validation process of \textit{EchoAid}, highlighting its potential to enhance product information extraction, leading to reduced cognitive overload and more engaging and customized shopping experiences for DHH users.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
