Tactile taps teach rhythmic text entry: passive haptic learning of morse code
Tactile taps teach rhythmic text entry: passive haptic learning of morse code
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触觉点击教授有节奏的文本输入：摩尔斯电码的被动触觉学习
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发表时间：
2016
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通讯作者：
Thad Starner
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作者：
Caitlyn E. Seim;Saul Reynolds;Sarthak Srinivas;Thad Starner
被动触觉学习（PHL）是在很少或没有主动注意学习的情况下获得感觉运动技能。可穿戴计算促进了这种技术，并且应用是多样的。然而，它是不知道是否节奏为基础的信息可以被动地传达。在一项12名参与者的研究中，我们调查了莫尔斯码，一种基于节奏的文本输入系统，是否可以通过PHL使用谷歌眼镜上的骨传导传感器来学习。经过四个小时的被动刺激，同时将注意力集中在分散注意力的任务上，PHL参与者在Glass的触控板上使用莫尔斯码键入pangram（一个包含字母表中所有字母的短语）的准确率达到94%，而对照组为53%。大多数PHL参与者在研究结束前达到了100%的准确率。在书面测试中，PHL参与者可以以98%的准确率写出字母表中每个字母的代码，而对照组的准确率为59%。当感知莫尔斯电码时，PHL参与者的表现也明显优于对照组：83%对46%的准确率。
Passive Haptic Learning (PHL) is the acquisition of sensorimotor skills with little or no active attention to learning. This technique is facilitated by wearable computing, and applications are diverse. However, it is not known whether rhythm-based information can be conveyed passively. In a 12 participant study, we investigate whether Morse code, a rhythmbased text entry system, can be learned through PHL using the bone conduction transducer on Google Glass. After four hours of exposure to passive stimuli while focusing their attention on a distraction task, PHL participants achieved a 94% accuracy rate keying a pangram (a phrase with all the letters of the alphabet) using Morse code on Glass's trackpad versus 53% for the control group. Most PHL participants achieved 100% accuracy before the end of the study. In written tests, PHL participants could write the codes for each letter of the alphabet with 98% accuracy versus 59% for control. When perceiving Morse code, PHL participants also performed significantly better than control: 83% versus 46% accuracy.