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Eyes-free Text Entry with Error Correction on Touchscreen Mobile Devices

机译:无眼睛的文本输入,触摸屏移动设备上的纠错

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We present an eyes-free text entry method for mobile touchscreen devices. Input progresses by inking Graffiti strokes using a linger on a touchscreen. The system includes a word-level error correction algorithm. Auditory and tactile feedback guide eyes-free entry using speech and non-speech sounds, and by vibrations. In a study with 12 participants, three different feedback modes were tested. Entry speed, accuracy, and algorithm performance were compared between the three feedback modes. An overall entry speed of 10.0 wpm was found with a maximum rate of 21.5 wpm using a feedback mode that required a recognized stroke at the beginning of each word. Text was entered with an overall accuracy of 95.7%. The error correction algorithm performed well: 14.9% of entered text was corrected on average, representing a 70.3% decrease in errors compared to no algorithm. Where multiple candidates appeared, the intended word was 1st or 2nd in the list 94.2% of the time.
机译:我们为移动触摸屏设备提供了无需文本输入方法。在触摸屏上使用Linger涂上涂抹涂鸦笔画,输入进展。该系统包括字级纠错算法。使用语音和非语音以及振动,听觉和触觉反馈指南无需进入。在具有12名参与者的研究中,测试了三种不同的反馈模式。在三种反馈模式之间比较进入速度,准确性和算法性能。使用最大速率为10.0WPM的整体入口速度,最大速率为21.5WPM,其反馈模式需要在每个单词的开头识别的笔划。输入文本,整体准确性为95.7%。误差校正算法很好:平均校正了14.9%的输入文本,与无算法相比,误差减少了70.3%。在出现多个候选者的情况下,预期的单词在列表中是第94.2%的时间。

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