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Next-Point Prediction Metrics for Perceived Spatial Errors

Talkat UIST 2016 · 2016-10-16..10-19· [web-performance, web-platform]
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Defines seven side-effects of next-point prediction (lateness, anticipation, wrong distance/orientation, jitter, jumps, spring) and derives per-effect geometric metrics that predict perceived errors from input logs. Evaluates five predictors on tablet drawing/dragging/panning with 12 participants (~30 strokes each, 1.6 comments/condition) and reports strong correlations (for example R² = 0.90 for lateness, R² = 0.99 for jumps). Provides equations, thresholds (90° angular tests, smoothing cutoffs) and a public input-log dataset for comparing predictors.

AI-written summary · about

  1. 0:00Introduction to latency
  2. 2:07Input prediction methods
  3. 4:36User study design
  4. 9:15Side effects metrics
  5. 14:32Implications for design
  6. 16:17Q&A session
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