Device independent text input: a rationale and an example
AVI '00 Proceedings of the working conference on Advanced visual interfaces
Few-key text entry revisited: mnemonic gestures on four keys
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bezel swipe: conflict-free scrolling and multiple selection on mobile touch screen devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SemFeel: a user interface with semantic tactile feedback for mobile touch-screen devices
Proceedings of the 22nd annual ACM symposium on User interface software and technology
Mobile messenger for the blind
ERCIM'06 Proceedings of the 9th conference on User interfaces for all
Investigating selection and reading performance on a mobile phone while walking
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Experimental analysis of touch-screen gesture designs in mobile environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Brailletouch: mobile texting for the visually impaired
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: context diversity - Volume Part III
PocketTouch: through-fabric capacitive touch input
Proceedings of the 24th annual ACM symposium on User interface software and technology
1 thumb, 4 buttons, 20 words per minute: design and evaluation of H4-writer
Proceedings of the 24th annual ACM symposium on User interface software and technology
Fat finger worries: how older and younger users physically interact with PDAs
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
No-look notes: accessible eyes-free multi-touch text entry
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
User learning and performance with bezel menus
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Touch typing using thumbs: understanding the effect of mobility and hand posture
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Exploring user motivations for eyes-free interaction on mobile devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Input finger detection for nonvisual touch screen text entry in Perkinput
Proceedings of Graphics Interface 2012
TypeInBraille: quick eyes-free typing on smartphones
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
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We present a single-handed and eyes-free Japanese kana text input system on touch screens of mobile devices. We first conducted preliminary experiments to investigate the accuracy with which subjects could single-handedly point to and flick without using their eyes. We found from the results that users can point at a screen that was divided into 2 x 2 with 100% accuracy and that users can flick at a 2 x 2 grid without using their eyes with 96.1% accuracy using our algorithm for flick recognition. The system used kana letter input based on two-stroke input with three keys to enable accurate eyes-free typing. First, users flick for consonant input, and then similarly flick for vowel input. We conducted a long-term user study to measure basic text entry speed and error rate performance under eyes-free conditions, and readability of transcribed phrases. As a result, the mean text entry speed was 51.2 characters per minute (cpm) in the 10th session of the user study and the mean error rate was 0.6% of all characters. The mean text entry speed was 33.9 cpm in the 11th session, which was conducted under totally eyes-free conditions and the mean error rate was 4.8% of all characters. We not only measured cpm and error rate, but also measured error rate of reading, which we devised as a novel metric to measure how accurately users can read transcribed phrases. The mean error rate of reading in the 11th session was 5.7% of all phrases.