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EchoAid: Enhancing Livestream Shopping Accessibility for the DHH Community

  • Zeyu YANG
  • , Zheng WEI
  • , Yang ZHANG
  • , Xian XU
  • , Changyang HE
  • , Muzhi ZHOU
  • , Pan HUI

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

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 EchoAid, a mobile app designed to improve the livestream shopping experience for DHH users. 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 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 EchoAid, highlighting its potential to enhance product information extraction, leading to reduced cognitive overload and more engaging and customized shopping experiences for DHH users.
Original languageEnglish
Article numberCSCW290
Pages (from-to)1-35
JournalProceedings of the ACM on Human-Computer Interaction
Volume9
Issue number7
DOIs
Publication statusPublished - 16 Oct 2025

Bibliographical note

Publisher Copyright:
© 2025 Copyright held by the owner/author(s). Publication rights licensed to ACM.

Funding

This work is supported by the Guangdong Provincial Talent Program, Grant No.2023JC10X009.

Keywords

  • DHH
  • Information Overload
  • LLMs
  • Livestream Shopping
  • RSVP

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