~/talk

Augmenting Reading

on YouTube 12m
Talkat DLD Munich 2016 · 2016-01-17..01-19· [web-platform, ux-and-product-design]

speaker

name:Chris Nicholas
links:none on file

resources

video:https://youtu.be/HpGRp10LoFE
slides:none on file

summary

Asym is a micro‑typography system that adjusts individual word spacing via a cloud-based API to create variable, asymmetrical spaces that visually chunk meaning; it builds high‑resolution syntactic maps by analyzing over a million documents (a chromatographic approach) and trains models with artificial neural networks. Peer literature cites ~10–20% reading gains, internal A/B tests report higher landing‑page conversions and article completion, and a Google Display test across ~600,000 impressions shows a 24% CTR uplift. English and Spanish are live and German launches at DLD16.

AI-written summary · about

chapters (9)

  1. 0:00Start
  2. 1:06Background
  3. 2:10Solution: Asymmetrica
  4. 2:22Chunking
  5. 3:14User Experience
  6. 4:42Human Learning
  7. 6:00Chromatography for Syntactic Cues DLD
  8. 9:43Value: Ads
  9. 10:44Conclusion

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