Avatar Interpreter: Improving Classroom Experiences for Deaf and Hard-of-Hearing People Based on Augmented Reality

Le Luo, Dongdong Weng, Guo Songrui, Jie Hao, Ziqi Tu

科研成果: 书/报告/会议事项章节会议稿件同行评审

10 引用 (Scopus)

摘要

Deaf and hard-of-hearing (DHH) people experience difficulties in accessing education. One reason is that they miss out on oral information in the classroom. Although some classrooms are equipped with sign language interpreters specifically for deaf students, DHH students have trouble switching their gaze and attention when they cannot see the interpreter and the visual information in the classroom simultaneously. To address this challenge, this paper develops Avatar Interpreter, a visual interface for synchronized sign language interpreters on an augmented reality head-mounted display. Avatar Interpreter can be displayed at different sizes and in different locations in space to fit different scenarios, helping deaf students to better receive sign language information and enhancing the classroom experience for deaf students. In the work presented in this paper, we discuss our prototype, make design recommendations, and discuss configuration and implementation. Finally, we propose questions and research methods for an upcoming user study.

源语言英语
主期刊名CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
出版商Association for Computing Machinery
ISBN(电子版)9781450391566
DOI
出版状态已出版 - 27 4月 2022
活动2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022 - Virtual, Online, 美国
期限: 30 4月 20225 5月 2022

出版系列

姓名Conference on Human Factors in Computing Systems - Proceedings

会议

会议2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022
国家/地区美国
Virtual, Online
时期30/04/225/05/22

指纹

探究 'Avatar Interpreter: Improving Classroom Experiences for Deaf and Hard-of-Hearing People Based on Augmented Reality' 的科研主题。它们共同构成独一无二的指纹。

引用此