the user experience of captioning webinar
DESCRIPTION
The User Experience of Captioning - And How Automation Improves Caption Quality While Saving Time and Money Sam Cartsos and Sarah Murphy, of Frameweld, discuss the elements of captioning that lead to highly usable captions and positive user experiences. They also discuss how those principles informed Frameweld's work on SyncWords, a caption automation platform, and how automation can drive improved caption quality. Webinar originally aired Dec. 12, 2013 at 1pm EST. www.syncwords.com www.frameweld.comTRANSCRIPT
The User Experience of Captions
How Automation Can Save Time, Money and Improve the Quality of Captions
Sam Cartsos & Sarah Murphy
Live captions provided through:www.recapd.com
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The User Experience of Captions
How Automation Can Save Time, Money and Improve the Quality of Captions
Sam Cartsos & Sarah Murphy
Captioning
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User Experience The Users of “User Experience” UX of Cap5ons for Online Video
S%ll and Cap%on From Annie Hall 5
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No captions at all are the WORST captions
Quality Transcrip%on vs. Automated Transcrip%on
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Report on the State of Closed Cap%oning of Internet Protocol Delivered Video Programming via Electronic Filing, May 16, 2013
Cap%ons are not accurate Only shows one leQer Timing is not relevant
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Cap%on segment is too long to read and digest
Areas that Affect Cap%on Quality & UX
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• Convey the informa%on within the media
• Remove unnecessary words that add cluQer like “ums”
• Conform to exis%ng cap%on style guides
Transcrip%on is manual
Especially quality transcripts
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Accurately Timed Captions appear as the words are spoken
Segmentation�
Chunking text into manageable bits
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Too much text
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Characters per line Mul%ple speakers
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Propor%onality More difficult to read with one long line of text, and one very short
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Repeated action with precision Detail orientated Leads to better quality
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Triangle shaped cap%ons are easier to read
Centered text
BoQom of the screen
Key Features of Quality Captions
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Centered text BoQom of the screen Black drop shadow White or bright text Wide font
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Automation Do not automate transcrip%on Pre-‐process %ming Word level alignment of media to transcript Manage cap%on formaang and segmenta%on Ability to edit by hand, automa%on processes edits and %mes on the fly SyncWords scores cap%on factors and segments cap%ons based on the best possible output
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Hand s%tching takes longer, and has greater frequency of irregulari%es
Sewing machines make quick work of the same job
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What works for one user is not always what every user wants SyncWords allows users to tailor caption outputs fitting specific needs
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Automation Allows for Customization in Styling
Text color Characters per line and number of lines Pop-‐on cap%ons Time shid to show cap%ons just before words are spoken
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Using Technology to Fine Tune Timing
Hermione’s Time Turner from Harry Potter
Set cap%ons a few milliseconds before dialogue begins
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Alignment & Chunking
• Deep Neural Networks
• Natural Language Processing (NLP)
Machine Learning
Algorithms
Contact Us
Sarah Murphy Director of Business Development
[email protected] @fw_sarah
Sam Cartsos Senior Partner [email protected] @scartsos
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Thank you!