“Body coupled FingerRing”: wireless wearable keyboard
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
A kinetic and 3D image input device
CHI 98 Cconference Summary on Human Factors in Computing Systems
Automatic spelling correction in scientific and scholarly text
Communications of the ACM
Developing Natural Language Interfaces: Processing Human Conversations
Developing Natural Language Interfaces: Processing Human Conversations
Language modeling for soft keyboards
Proceedings of the 7th international conference on Intelligent user interfaces
Language modeling for soft keyboards
Eighteenth national conference on Artificial intelligence
Effect of foreign language on text transcription performance: Finns writing English
Proceedings of the third Nordic conference on Human-computer interaction
Can we do without GUIs? Gesture and speech interaction with a patient information system
Personal and Ubiquitous Computing
Queuing Network Modeling of Transcription Typing
ACM Transactions on Computer-Human Interaction (TOCHI)
Relative keyboard input system
Proceedings of the 13th international conference on Intelligent user interfaces
The Evaluation of Operating Posture in Typing the QWERTY Keyboard on PDA
EHAWC '09 Proceedings of the International Conference on Ergonomics and Health Aspects of Work with Computers: Held as Part of HCI International 2009
Word n-grams for cluster keyboards
TextEntry '03 Proceedings of the 2003 EACL Workshop on Language Modeling for Text Entry Methods
Typing on flat glass: examining ten-finger expert typing patterns on touch surfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The 1line keyboard: a QWERTY layout in a single line
Proceedings of the 24th annual ACM symposium on User interface software and technology
Personalized input: improving ten-finger touchscreen typing through automatic adaptation
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Hi-index | 0.01 |
Using traditional mobile input devices results in decreasedeffectiveness and efficiency. To improve usability issues aportable Non-Keyboard QWERTY touch-typing paradigm that supportsthe mobile touch-typing user is presented and investigated. Itrequires negligible training time. Pressure sensors strapped to thefingertips of gloves detect which finger is depressed. A languagemodel based on lexical and syntactic knowledge transforms thedepressed finger stroke sequence into real words and sentences.Different mobile input QWERTY paradigms (miniaturised, floating andNon-Keyboard) have been compared with full-size QWERTY. Among themobile input paradigms, the Non-Keyboard fared significantlybetter, both regarding character error rate and subjectiveratings.