~/talk

Investigating Effects of Post-Selection Feedback for Acquiring Ultra-Small Targets on Touchscreen

Talkat CHI 2016 · 2016-05-07..05-12· [web-performance]
name:Chun Yu
links:none on file
links:none on file
name:Wei Xiong
linkedin:weixiong77
links:none on file
links:none on file
slides:none on file

Three staged experiments on smartphones and a smartwatch test a ripple post-selection visualization that shows the finger’s contact point after lift for 2–4 mm targets. Results: average error rate falls from ~44% to ~10% (overall reduction reported 78.4%), systematic offset drops >74% and standard deviation drops ~32%, first-experiment selection time rises 9.7% but smartwatch trials finish faster (900 ms vs 1.5 s) due to fewer retries, and touch adjustments become more accurate (regression slopes move toward −1).

AI-written summary · about

  1. 0:00Intro
  2. 0:30Background: Tiny Targets (2-4 mm)
  3. 1:20Post-Selection Feedback
  4. 2:03Touch is Inaccurate!
  5. 3:37Standard Deviation
  6. 4:56Motivation
  7. 6:22Crosshair Target
  8. 7:14Results of Exp. 1
  9. 8:14Subjective feedback
  10. 8:44Reciprocal task
  11. 9:07Error Rates
  12. 9:36Systematic Offset
  13. 12:20Summary of Three Experiments
  14. 13:34Correlation between dx and dx
  15. 14:17Positive Adjustment (Ratio)
  16. 14:35Positive Adjustment Ratio dx
  17. 15:53Mean Results
  18. 16:08Conclusion
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