Code for Caption Crowd (IKILeUS)

Version 1.0
Fathallah, Nadeen; Staab, Steffen, 2025, "Code for Caption Crowd (IKILeUS)", https://doi.org/10.18419/DARUS-4775, DaRUS, V1, UNF:6:e9mxpfNAwwwZlt8Uc4I+mQ== [fileUNF]
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Subtitle A Collaborative Platform for Improving Automated Captions Through User Feedback
Description
CaptionCrowd is an interactive platform developed within the IKILeUS project at the University of Stuttgart to improve video caption accuracy for the Deaf and Hard of Hearing (DHH) community. While automatic captions provide some accessibility, they often contain errors in grammar, homophones, and domain-specific terminology, making comprehension challenging. CaptionCrowd enables users to collaboratively identify and correct inaccurate captions in real-time, improving their quality through community-driven feedback.
The platform features a user-friendly web-based video player that allows users to highlight incorrect words in subtitles, with their selections recorded for further analysis. User testing with 16 participants revealed that manually correcting captions can be cognitively demanding, highlighting the ongoing need for enhanced accessibility solutions. (2024-11-30)
Subject Computer and Information Science
Keyword Accessibility, Assistive Technologies, Video Accessibility, Automatic Subtitles, Collaborative Caption Correction, Deaf and Hard of Hearing (DHH) Support
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MIT License

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Published Feb 28, 2025
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MD5: aadc2e2eeb8a75df7a5843133be16dd6
app.js
CaptionCrowd-main/Javascript Code - 19.8 KB
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package-lock.json
CaptionCrowd-main/JSON - 545 B
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package.json
CaptionCrowd-main/JSON - 562 B
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README.md
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styles.css
CaptionCrowd-main/Cascading Style Sheet - 629 B
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settings.json
CaptionCrowd-main/.vscode/JSON - 40 B
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captions1.srt
CaptionCrowd-main/captions/application/x-subrip - 5.3 KB
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MD5: 589b8f44f91be0f461b04c8fd505e07f
captions10.srt
CaptionCrowd-main/captions/application/x-subrip - 2.9 KB
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