Predicting Finger-Touch Accuracy Based on the Dual Gaussian Distribution Model
summary
Derives a predictive model from the Dual Gaussian Distribution Model that computes finger-touch success probability from target size alone, using two variance components (one proportional to target width, one constant finger ambiguity). Evaluated with 12 participants on 1-D vertical/horizontal and 2-D circular targets; predicted success rates match observed within <5% error for 4.8 mm and 7.2 mm targets and within <10% error for 2.4 mm targets.
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chapters (12)
- 0:00Intro
- 1:38Current Approach
- 3:05Target Selection Task
- 5:16Gaussian Distribution Model
- 8:30Standard Version
- 9:40Study
- 10:27Results
- 12:04Experimental Results
- 12:52Linear Regression
- 13:28Accuracy Prediction
- 14:35Keyboard Implementation
- 15:33Conclusions
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