“SpeedPerception is a large-scale web performance crowdsourcing study focused on the perceived loading performance of above-the-fold content.”
Premise: Perception of perceived performance is relative.
Phase-1 crowd sourced 07/28/2016 - 09/30/2016.
Hypothesis 1: Visual metrics will perform better than non-visual/network metrics
Hypothesis 2: No single metric can explain human choices with 90%+ accuracy
Hypothesis 3: User will not wait until “Visual Complete” to make their choice (despite the explicit instruction to wait until video turns grey)
Perception of speed and UX strongly impacted by popups / overlays
Hypothesis 1: Visual metrics will perform better than non-visual/network metrics
Hypothesis 1: Visual metrics will perform better than non-visual/network metrics
Hypothesis 2: No single metric can explain human choices with 90%+ accuracy
Hypothesis 2: No single metric can explain human choices with 90%+ accuracy
Hypothesis 3: User will not wait until “Visual Complete” to make their choice (despite the explicit instruction to wait until video turns grey)
http://instartlogic.github.io/p/SFHTML5