Understanding, Detecting and Mitigating the Effects of Coactivations in Ten-Finger Mid-Air Typing in Virtual Reality
Understanding, Detecting and Mitigating the Effects of Coactivations in Ten-Finger Mid-Air Typing in Virtual Reality
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DOI：
10.1145/3411764.3445671
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发表时间：
2021-05
期刊：
影响因子：
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通讯作者：
Conor R. Foy;John J. Dudley;Aakar Gupta;Hrvoje Benko;P. Kristensson
中科院分区：
文献类型：
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作者：
Conor R. Foy;John J. Dudley;Aakar Gupta;Hrvoje Benko;P. Kristensson
在虚拟或增强现实中用十个手指在虚拟键盘上打字暴露了具有挑战性的输入解释问题。在这种交互环境中有许多噪声源，这些噪声加剧了将人类行为准确地翻译成文本的挑战。特别具有挑战性的输入噪声源来自手的生理学。有意的手指运动可以在其他手指中产生无意的共激活。在物理键盘上，按键的阻力会加剧这个问题。在虚拟键盘上，在输入检测的简单解决方案下，协同激活很可能会引入虚假的输入事件。在本文中，我们研究的特点，区分有意激活共激活。基于这种分析，我们展示了三种具有高分辨力的替代共激活检测策略。最后，我们将共激活检测集成到概率解码器中，并证明其能够进一步降低未校正的字符错误率约10%的相对和0.9%的绝对。
Typing with ten fingers on a virtual keyboard in virtual or augmented reality exposes a challenging input interpretation problem. There are many sources of noise in this interaction context and these exacerbate the challenge of accurately translating human actions into text. A particularly challenging input noise source arises from the physiology of the hand. Intentional finger movements can produce unintentional coactivations in other fingers. On a physical keyboard, the resistance of the keys alleviates this issue. On a virtual keyboard, coactivations are likely to introduce spurious input events under a naïve solution to input detection. In this paper we examine the features that discriminate intentional activations from coactivations. Based on this analysis, we demonstrate three alternative coactivation detection strategies with high discrimination power. Finally, we integrate coactivation detection into a probabilistic decoder and demonstrate its ability to further reduce uncorrected character error rates by approximately 10% relative and 0.9% absolute.