Paper Info
Title
WiseType : a tablet keyboard with color-coded visualization and various editing options for error correction
Abstract
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.
Year
DOI
Venue
2019
10.20380/GI2019.04
graphics interface
Keywords
Field
DocType
Text entry, auto-correction, backspace, error correction, error detection, predictive text, touchscreen, virtual keyboard
Computer vision,Predictive text,Visualization,Input method,Computer science,Word error rate,Touchscreen,Error detection and correction,Grammar,Mobile device,Artificial intelligence
Conference
ISBN
Citations 
PageRank 
978-0-9947868-4-5
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Ohoud Alharbi100.34
Ahmed Sabbir Arif257.49
Wolfgang Stuerzlinger31143101.60
Mark D. Dunlop446963.24
Andreas Komninos517426.23