An Exploration of Captioning Practices and Challenges of Individual Content Creators on YouTube for People with Hearing Impairments-Reference-Cited by-同舟云学术

An Exploration of Captioning Practices and Challenges of Individual Content Creators on YouTube for People with Hearing Impairments

Published:2022-03-30 Issue:CSCW1 Volume:6 Page:1-26
ISSN:2573-0142
Container-title:Proceedings of the ACM on Human-Computer Interaction
language:en
Short-container-title:Proc. ACM Hum.-Comput. Interact.

Author:

Li Franklin Mingzhe¹,Lu Cheng²,Lu Zhicong³,Carrington Patrick¹,Truong Khai N.²

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

2. University of Toronto, Toronto, ON, Canada

3. City University of Hong Kong, Hong Kong, China

Abstract

Deaf and Hard-of-Hearing (DHH) audiences have long complained about caption qualities for many online videos created by individual content creators on video-sharing platforms (e.g., YouTube). However, there lack explorations of practices, challenges, and perceptions of online video captions from the perspectives of both individual content creators and DHH audiences. In this work, we first explore DHH audiences' feedback on and reactions to YouTube video captions through interviews with 13 DHH individuals, and uncover DHH audiences' experiences, challenges, and perceptions on watching videos created by individual content creators (e.g., manually added caption tags could create additional confidence and trust in caption qualities for DHH audiences). We then discover individual content creators' practices, challenges, and perceptions on captioning their videos (e.g., back-captioning problems) by conducting a YouTube video analysis with 189 captioning-related YouTube videos, followed by a survey with 62 individual content creators. Overall, our findings provide an in-depth understanding of captions generated by individual content creators and bridge the knowledge gap mutually between content creators and DHH audiences on captions.

Funder

NSERC

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Link

https://dl.acm.org/doi/pdf/10.1145/3512922

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