Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Phrase sets for evaluating text entry techniques
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Performance of menu-augmented soft keyboards
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Recent developments in text-entry error rate measurement
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Alphabetically constrained keypad designs for text entry on mobile devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Text Entry Systems: Mobility, Accessibility, Universality
Text Entry Systems: Mobility, Accessibility, Universality
Design and evaluation of korean text entry methods for mobile phones
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Mobile text entry metrics for field studies
IASTED-HCI '07 Proceedings of the Second IASTED International Conference on Human Computer Interaction
| Hi-index | 0.01 |
On devices such as mobile phones, text is often entered using keypads and predictive text entry techniques. Current metrics used for measuring text entry error rates have limitations in terms of the types of errors they account for, and cannot easily distinguish between different types of errors. This research proposes a new text entry error metric that addresses some of the outstanding issues that exist with current metrics. Specifically, the metric accounts in detail for the way the user handles corrections during text entry, moving beyond current keystroke level error measurement. The feasibility and usefulness of this new metric is shown through the analysis of an experiment that tests an alphabetically constrained keypad design that includes upper and lower case letters, numbers, and punctuation marks.