augmented reading; 2016 dld conference
TRANSCRIPT
![Page 1: Augmented Reading; 2016 DLD Conference](https://reader034.vdocuments.site/reader034/viewer/2022042722/589e507c1a28ab1c7f8b61a1/html5/thumbnails/1.jpg)
a more valuable web
Augmenting Reading
asym.co @AsymmetricaLabs
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@AsymmetricaLabs
Background
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• Writing began without spaces between words.
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@AsymmetricaLabs
Background
2
• With the advent of the printing press, word spaces became uniform.
• Writing began without spaces between words.
![Page 4: Augmented Reading; 2016 DLD Conference](https://reader034.vdocuments.site/reader034/viewer/2022042722/589e507c1a28ab1c7f8b61a1/html5/thumbnails/4.jpg)
@AsymmetricaLabs
Background
2
• With the advent of the printing press, word spaces became uniform.
• The web broke out of the fixed layout mold, but not fixed spaces.
• Writing began without spaces between words.
![Page 5: Augmented Reading; 2016 DLD Conference](https://reader034.vdocuments.site/reader034/viewer/2022042722/589e507c1a28ab1c7f8b61a1/html5/thumbnails/5.jpg)
@AsymmetricaLabs
Background
2
• Asymmetrica brings natural language cues back with asymmetrical spacing.
• With the advent of the printing press, word spaces became uniform.
• The web broke out of the fixed layout mold, but not fixed spaces.
• Writing began without spaces between words.
![Page 6: Augmented Reading; 2016 DLD Conference](https://reader034.vdocuments.site/reader034/viewer/2022042722/589e507c1a28ab1c7f8b61a1/html5/thumbnails/6.jpg)
@AsymmetricaLabs
Problem: Distraction
3
. . .
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@AsymmetricaLabs
Problem: Distraction
3
. . .
Currently there are no ways to improve reading that are scalable–•–unobtrusive–•–effective
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@AsymmetricaLabs
Solution: Asymmetrica
4
Text
Text w/ Asym Spacing
A cloud-based API to adjust the word spacing of text
Asym APIs
Creators & Publishers
asym
~6 ms
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@AsymmetricaLabs
Chunking
5
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@AsymmetricaLabs
User Experience
6
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@AsymmetricaLabs
Why Now?
7
• High-quality language datasets • Ubiquitous high resolution displays • Better browser rendering
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@AsymmetricaLabs
Machine Learning
8
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@AsymmetricaLabs
Machine Learning
8
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@AsymmetricaLabs
Human Learning
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•Statistical properties of language
•Marking syntactic cues helps reading
•How do we find these cues and measure their importance?
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@AsymmetricaLabs
Chromatography for Syntactic Cues
Separate mixtures into their components10 @AsymmetricaLabs
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@AsymmetricaLabs
Chromatography for Syntactic Cues
Separate mixtures into their components10 @AsymmetricaLabs
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Journal Fiction Magazine News Blog
0
Syntactically Important
Not Important
11 @AsymmetricaLabs
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0
Syntactically Important
Not Important
Composite: 1 million documents
Syntactic “fingerprint”
of English
12 @AsymmetricaLabs
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@AsymmetricaLabs
Value: Funnels & Engagement
13
‣ +21% blog article completion
‣ +7% interest in sharing a health literacy blog
‣ +11% landing page conversions
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@AsymmetricaLabs
Value: Ads
14
Display Ads Example Experiment
6 banner creatives–•–12 A/B tests–•–615k impressions
728x90
Example Ad
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@AsymmetricaLabs
Value: Ads
14
Display Ads Example Experiment
6 banner creatives–•–12 A/B tests–•–615k impressions
+24%CTR
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@AsymmetricaLabs
Conclusion
15
asym.co
• Cloud-based microtypography is now a thing – available for English & German
• Readers: Free Asym Browser Extension
• Content creators & distributors: Asym API
asym
![Page 23: Augmented Reading; 2016 DLD Conference](https://reader034.vdocuments.site/reader034/viewer/2022042722/589e507c1a28ab1c7f8b61a1/html5/thumbnails/23.jpg)
a more valuable web
@AsymmetricaLabs
Thank you and happy reading!