SignIt! An Android game for sign bilingual play that collects labelled sign language data

Roshni Poddar, Pradyumna YM, Divya Prabha Jayakumar, Tarini Naik, Punyat Tripathi, Nabeel TP, Hemanth Reddy Yeddula, Pratyush Kumar, Mohit Jain, Manohar Swaminathan
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Abstract

The Deaf or Hard-of-Hearing (DHH) community constitutes over 430 million people globally, with about 70 million of them using sign language as their primary means of communication. India has around 63 million DHH individuals. The DHH community in India faces several challenges, particularly in learning sign language and English, due to delayed diagnosis, stigma, oralism, and a diversity of languages. Digital games for spoken and sign language learning have gained popularity due to their advantages over traditional language learning methods, such as enhanced engagement and socialization, driving increased research and adoption over traditional methods. Moreover, the development of robust machine learning models for sign language recognition, which could significantly improve access for signers, is currently impeded by the scarcity of labelled sign language data. To address these challenges, we collaborated with NISH, an academic institution for the DHH community and developed SignIt!, an accessible and inclusive quiz platform that facilitates the learning of English and Indian Sign Language (ISL) with a secondary goal of data collection. To assess the game's usability, we conducted a study with 20 members of the DHH community, followed by interviewing 15 participants. Overall, our participants answered 2160 quiz questions and created 210 questions. The quiz creation resulted in the collection of three hours of labelled real-world sign language data. The interviews revealed novel insights, such as a preference for playing competitively with friends, empowerment by their agency to be content creators, and early signs of learning English, sign language, and quiz content by playing and creating quizzes. We plan to open-source and release SignIt! to increase its adoption among diverse DHH communities.
SignIt!一款收集标注手语数据的手语双语安卓游戏
全球聋人或听力障碍者(DHH)群体人数超过4.3亿,其中约有7000万人使用手语作为主要交流手段。印度大约有6300万DHH患者。印度的DHH社区面临着一些挑战,特别是在学习手语和英语方面,这是由于诊断延迟、耻辱、口头障碍和语言多样性造成的。口语和手语学习的数字游戏越来越受欢迎,因为它们比传统的语言学习方法更有优势,比如更强的参与度和社交性,推动了传统方法的研究和采用。此外,用于手语识别的强大机器学习模型的开发,可以显着改善签署人的访问,目前受到标记手语数据稀缺的阻碍。为了应对这些挑战,我们与DHH社区的学术机构NISH合作,开发了SignIt!,是一个方便和包容的测验平台,促进英语和印度手语(ISL)的学习,其次要目标是收集数据。为了评估游戏的可用性,我们对《DHH》社区的20名成员进行了调查,随后采访了15名参与者。总的来说,我们的参与者回答了2160个测验问题,并创造了210个问题。这个测验的创建结果是收集了三个小时的标记现实世界的手语数据。这些访谈揭示了一些新颖的见解,比如他们更喜欢与朋友竞争,他们的代理机构授权他们成为内容创造者,以及通过玩和制作测验来学习英语、手语和测验内容的早期迹象。我们计划开源并发布SignIt!以增加其在不同卫生保健社区的采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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