YouTube Videos as Data: Seeing Daily Challenges for People with Visual Impairments during COVID-19

Jingyi Xie, Na Li, Sooyeon Lee, John M. Carroll

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

COVID-19 pandemic has spread globally and affected a large number of people. Previous studies collected online survey and interview data to raise awareness of requirements from people with visual impairments (PVI) under the COVID-19 pandemic, however, little has been observed in PVI's daily activities due to the suspension of face-to-face fieldwork. In this study, we utilized an innovative data source-YouTube videos to fill the vacancy of observation data in this specific topic. Compared to previous studies, we got more voices involved and gained a richer dataset by considering both videos from the visually impaired community where PVI are primary authors and news media videos where PVI are involved as active participants. Eventually, we collected 24 videos created by the visually impaired community and 27 videos from the news media community, where 57 PVI were depicted. This study uncovered the problems causing pandemic-related challenges and suggested the need for explicit guidelines that can make the prevention protocols accessible and inclusive for PVI, as this study indicates that accessibility can be easily missed under unforeseen situations like the COVID-19 pandemic.

Original languageEnglish (US)
Title of host publicationGoodIT 2022 - Proceedings of the 2022 ACM Conference on Information Technology for Social Good
PublisherAssociation for Computing Machinery
Pages218-224
Number of pages7
ISBN (Electronic)9781450392846
DOIs
StatePublished - Sep 7 2022
Externally publishedYes
Event2nd ACM Conference on Information Technology for Social Good, GoodIT 2022 - Limassol, Cyprus
Duration: Sep 7 2022Sep 9 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2nd ACM Conference on Information Technology for Social Good, GoodIT 2022
Country/TerritoryCyprus
CityLimassol
Period9/7/229/9/22

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Keywords

  • COVID-19
  • YouTube
  • accessibility
  • people with visual impairments
  • social media
  • video data analysis

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