WiseType: a tablet keyboard with color-coded visualization and various editing options for error correction

Ohoud Alharbi, Ahmed Sabbir Arif, Wolfgang Stuerzlinger, Mark D. Dunlop, Andreas Komninos

Research output: Contribution to conferencePaperpeer-review

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To address the problem of improving text entry accuracy in mobile devices, we present a new tablet keyboard that offers both immediate and delayed feedback on language quality through auto-correction, prediction, and grammar checking. We combine different visual representations for grammar and spelling errors, accepted predictions, and auto-corrections, and also support interactive swiping/tapping features and improved interaction with previous errors, predictions, and auto-corrections. Additionally, we added smart error correction features to the system to decrease the overhead of correcting errors and to decrease the number of operations. We designed our new input method with an iterative user-centered approach through multiple pilots. We conducted a lab-based study with a refined experimental methodology and found that WiseType outperforms a standard keyboard in terms of text entry speed and error rate. The study shows that color-coded text background highlighting and underlining of potential mistakes in combination with fast correction methods can improve both writing speed and accuracy.
Original languageEnglish
Number of pages10
Publication statusAccepted/In press - 18 Mar 2019
EventGraphics Interface 2019 - Ontario, Canada
Duration: 28 May 201931 May 2019


ConferenceGraphics Interface 2019
Internet address


  • text entry
  • predictive text
  • vitrual keyboard
  • touchscreen
  • auto-correction
  • error correction
  • error detection
  • backspace


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