Sparkling Silence: Practices and Challenges of Livestreaming Among Deaf or Hard of Hearing Streamers

Author:

Cao Beiyan1ORCID,He Changyang2ORCID,Zhou Muzhi3ORCID,Fan Mingming4ORCID

Affiliation:

1. IIP (Computational Media and Arts), The Hong Kong University of Science and Technology, China

2. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, China

3. Hong Kong University of Science and Technology (Guangzhou), China

4. Computational Media and Arts Thrust, The Hong Kong University of Science and Technology (Guangzhou), China and Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, China

Publisher

ACM

Reference63 articles.

1. 2021. WORLD REPORT ON HEARING EXECUTIVE SUMMARY. http://apps.who.int/bookorders. 2021. WORLD REPORT ON HEARING EXECUTIVE SUMMARY. http://apps.who.int/bookorders.

2. Mrim Alnfiai and Srini Sampali . 2017 . Social and Communication Apps for the Deaf and Hearing Impaired. In 2017 International Conference on Computer and Applications (ICCA). IEEE, 120–126 . Mrim Alnfiai and Srini Sampali. 2017. Social and Communication Apps for the Deaf and Hearing Impaired. In 2017 International Conference on Computer and Applications (ICCA). IEEE, 120–126.

3. Shane Angel Allison Tate Christian Vogler and Raja Kushalnagar. 2022. Teleconference Sign Language Detection. Shane Angel Allison Tate Christian Vogler and Raja Kushalnagar. 2022. Teleconference Sign Language Detection.

4. U. Sai Babu A. Raganna K.N. Vidyasagar S.H. Bharati and Gautam Kumar. 2022. Highly Accurate Static Hand Gesture Recognition Model Using Deep Convolutional Neural Network for Human Machine Interaction. In 2022 IEEE Fourth International Conference on Advances in Electronics Computers and Communications (ICAECC). 1-6. https://doi.org/10.1109/ICAECC54045.2022.9716619 10.1109/ICAECC54045.2022.9716619

5. U. Sai Babu A. Raganna K.N. Vidyasagar S.H. Bharati and Gautam Kumar. 2022. Highly Accurate Static Hand Gesture Recognition Model Using Deep Convolutional Neural Network for Human Machine Interaction. In 2022 IEEE Fourth International Conference on Advances in Electronics Computers and Communications (ICAECC). 1-6. https://doi.org/10.1109/ICAECC54045.2022.9716619

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Silent Delivery: Practices and Challenges of Delivering Among Deaf or Hard of Hearing Couriers;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. Bridging the Literacy Gap for Adults: Streaming and Engaging in Adult Literacy Education through Livestreaming;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. "Voices Help Correlate Signs and Words": Analyzing Deaf and Hard-of-Hearing (DHH) TikTokers’ Content, Practices, and Pitfalls;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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