@inproceedings{c7da2962139b4da4b3a791db7184bbf0,
title = "Avatar Interpreter: Improving Classroom Experiences for Deaf and Hard-of-Hearing People Based on Augmented Reality",
abstract = "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.",
keywords = "AR, Accessibility, Avatar, DHH, Sign Language",
author = "Le Luo and Dongdong Weng and Guo Songrui and Jie Hao and Ziqi Tu",
note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022 ; Conference date: 30-04-2022 Through 05-05-2022",
year = "2022",
month = apr,
day = "27",
doi = "10.1145/3491101.3519799",
language = "English",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
booktitle = "CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems",
}