Projects per year
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.
|Number of pages||10|
|Publication status||Accepted/In press - 18 Mar 2019|
|Event||Graphics Interface 2019 - Ontario, Canada|
Duration: 28 May 2019 → 31 May 2019
|Conference||Graphics Interface 2019|
|Period||28/05/19 → 31/05/19|
- text entry
- predictive text
- vitrual keyboard
- error correction
- error detection
1/09/13 → 30/11/15
Designed with older adults to support better error correction in smartphone text entry: the MaxieKeyboardKomninos, A., Nicol, E. & Dunlop, M. D., Sep 2015, p. 797-802. 6 p.
Research output: Contribution to conference › PosterOpen AccessFile15 Citations (Scopus)261 Downloads (Pure)