~/talk

Quantifying Aversion to Costly Typing Errors in Expert Mobile Text Entry

Talkat CHI 2017 · 2017-05-06..05-11· [ux-and-product-design]
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name:Varun Rao
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Claim: expert mobile typists intentionally slow movement to avoid time-consuming deletions. Empirical method uses a mini QWERTY pointing task with a simulated Delete penalty, 20 participants, ~1,200 training and 4,300 test trials each. Result: costly-error condition yields 2.4 WPM slower estimated typing on Android mini QWERTY; a risk-aware model tightens existing upper bounds by 3.29 WPM and shows risk aversion accounts for 65.98% explained of the gap between prior models and observed expert speeds.

AI-written summary · about

  1. 0:00Introduction to expert text entry
  2. 1:14Costly typing errors impact
  3. 2:39Simulating text entry tasks
  4. 4:03Measured movement time changes
  5. 5:51Limitations of existing models
  6. 6:11New expert text entry model
  7. 8:25Estimating movement times
  8. 9:06Computing upper bounds
  9. 9:29Empirical validation study
  10. 11:57Risk aversion explains differences
  11. 12:38Implications for keyboard design
  12. 13:22Future research directions
  13. 18:08Q&A and discussion
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