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Uncertain text entry on mobile devices
| Content Provider | CiteSeerX |
|---|---|
| Author | Weir, Daryl Pohl, Henning Rogers, Simon Vertanen, Keith Kristensson, Per Ola |
| Description | Users often struggle to enter text accurately on touchscreen keyboards. To address this, we present a flexible decoder for touchscreen text entry that combines probabilistic touch mod-els with a language model. We investigate two different touch models. The first touch model is based on a Gaussian Pro-cess regression approach and implicitly models the inherent uncertainty of the touching process. The second touch model allows users to explicitly control the uncertainty via touch pressure. Using the first model we show that the character error rate can be reduced by up to 7 % over a baseline method, and by up to 1.3 % over a leading commercial keyboard. Us-ing the second model we demonstrate that providing users with control over input certainty reduces the amount of text users have to correct manually and increases the text entry rate. Author Keywords Mobile text entry; keyboard error correction |
| File Format | |
| Language | English |
| Publisher Institution | In Proc. CHI (2014 |
| Access Restriction | Open |
| Subject Keyword | Different Touch Model Leading Commercial Keyboard Touchscreen Text Entry Baseline Method Error Correction Text User Touching Process Author Keywords Mobile Text Entry First Model Second Model Input Certainty Second Touch Model Text Entry Rate Touch Pressure Touchscreen Keyboard Language Model Gaussian Pro-cess Regression Approach First Touch Model Mobile Device Uncertain Text Entry Probabilistic Touch Mod-els Character Error Rate Flexible Decoder Inherent Uncertainty |
| Content Type | Text |
| Resource Type | Article |
