Speedperception Results Are In

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SPEEDPERCEPTION RESULTS ARE IN
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• We are excited to reveal the first results from
  the SpeedPerception challenge! We had over 5,000
  sessions completed, with over 50,000 valid data
  points.
• We tested three hypotheses, of which two were
  confirmed
• ? No single metric can explain human choices with
  90 accuracy
• ? Visual metrics will perform better than
  non-visual/network metrics
• ? Users will not wait until visual complete to
  make a determination
• For those of you unaware, SpeedPerception is a
  free, open-source, benchmark dataset of how
  people perceive above-the-fold rendering and
  webpage loading processes, which can be used to
  better understand the perceptual aspects of
  end-user web experience. The benchmark weve
  posted on Github can provide a quantitative basis
  to compare different algorithms. Our hope is that
  this data will spur computer scientists and web
  performance engineers to make progress
  quantifying perceived web performance.
• Dataset, study and results http//speedperception
  .com/
• Challenge Site http//speedperception.meteorapp.c
  om/challenge
• Thank you to everyone who participated. While
  weve posted the initial findings on Github, we
  will be releasing additional results. We
  appreciate feedback on both the study and
  results, and suggestions for next steps. If you
  want to analyze the data yourself and test your
  own hypotheses, the data and code are all
  available on Github. Please do share any results
  and conclusions with us.

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