Practical programming in Tcl and Tk (2nd ed.)
Practical programming in Tcl and Tk (2nd ed.)
Predicting text entry speed on mobile phones
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Text input for mobile devices: comparing model prediction to actual performance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reassessing current cell phone designs: using thumb input effectively
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Twiddler typing: one-handed chording text entry for mobile phones
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
LetterEase: Improving text entry on a handheld device via letter reassignment
OZCHI '05 Proceedings of the 17th Australia conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future
The Smart Phone: A Ubiquitous Input Device
IEEE Pervasive Computing
Investigating text input methods for mobile phones
Telematics and Informatics
Glyph 2: une saisie de texte avec deux appuis de touche par caractère - principes et comparaisons
IHM '06 Proceedings of the 18th International Conferenceof the Association Francophone d'Interaction Homme-Machine
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Proceedings of the 4th Nordic conference on Human-computer interaction: changing roles
Designing small keyboards is hard
Theoretical Computer Science
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
International Journal of Mobile Learning and Organisation
Tlk or txt? Using voice input for SMS composition
Personal and Ubiquitous Computing
Experimental evaluations of the Twiddler one-handed chording mobile keyboard
Human-Computer Interaction
Modeling learning effects in mobile texting
Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia
What input errors do you experience? Typing and pointing errors of mobile Web users
International Journal of Human-Computer Studies
When fingers do the talking: a study of text messaging
Interacting with Computers
Small-device users situationally impaired by input
Computers in Human Behavior
Usability risk level evaluation for physical user interface of mobile phone
Computers in Industry
A Meta-Analytical Review of Empirical Mobile Usability Studies
Journal of Usability Studies
A chinese mobile phone input method based on the dynamic and self-study language model
EUC'06 Proceedings of the 2006 international conference on Emerging Directions in Embedded and Ubiquitous Computing
Computers in Human Behavior
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The rapid growth of Short Message Service (SMS) text messaging is generating substantial commercial and research interest in fast and efficient text input methods for mobile devices. This paper presents an empirical study that compares three mobile phone text input techniques. The methods are 'multi-press input with timeout', 'multi-press input with a next button', and 'two-key'. The study shows that there is a significant speed difference, in words per minute (wpm), between the methods. The multi-press with next method provided the most rapid text input at 7.2 wpm, followed by multi-press with timeout at 6.4 wpm. The two-key method was the slowest at 5.5 wpm. These results are much slower than those predicted by Fitts' Law models reported in prior research. Subjective results regarding learnability, errors and efficiency showed no significant difference between the methods.