Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems 2017
DOI: 10.1145/3025453.3025783
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Efficient Typing on a Visually Occluded Physical Keyboard

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Cited by 68 publications
(50 citation statements)
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“…The integration of physical desktop keyboards with VR settings has attracted the attention of researchers. Walker et al (2017) employed an orthogonal approach to examine the use of a completely visually occluded keyboard for typing in VR. The mean text-entry rates of their participants were 41.2-43.7 words-per-minute (WPM), with mean character error rates of 8.4%-11.8%.…”
Section: Related Workmentioning
confidence: 99%
“…The integration of physical desktop keyboards with VR settings has attracted the attention of researchers. Walker et al (2017) employed an orthogonal approach to examine the use of a completely visually occluded keyboard for typing in VR. The mean text-entry rates of their participants were 41.2-43.7 words-per-minute (WPM), with mean character error rates of 8.4%-11.8%.…”
Section: Related Workmentioning
confidence: 99%
“…They found that the character error rate (CER) was unacceptably high in the HMD condition (7.0% average CER) but could be reduced to an average 3.5% CER using an auto-correcting decoder. A year later, they showed that feedback of a virtual keyboard in VR, showing committed types, can help users correct their hand positions and reduce error rates while typing [33]. In contrast, in this paper, we will show that by visualizing users' finger tips while typing, there is no need for an auto-correcting decoder as with the visual feedback users' character error rate is already sufficiently low for both desktop and touchscreen keyboard typing.…”
Section: Related Workmentioning
confidence: 72%
“…They found that the character error rate (CER) was unacceptably high in the HMD condition (7.0% average CER) but could be reduced to an average 3.5% CER using an auto-correcting decoder. A year later, they showed that feedback of a virtual keyboard in VR, showing committed types, can help users correct their hand positions and reduce error rates while typing [40]. They discovered that their participants typed at an average entry rates of 41.2-43.7 words per minute (wpm), with average character error rates of 8.3%-11.8%.…”
Section: Keyboards For Vrmentioning
confidence: 99%
“…Hence, we set out to compare common hand representations using a standard desktop keyboard. Specifically, we compare following hand representations: no hand representation as studied by Walker and Vertanen [40], blended video see-through of the user's hands as proposed by McGill et al [22], an inverse kinematic hand model as used by Schwind et al [31] and a minimalistic sphere representation of the user's fingertips. Further, we conjecture that with appropriate visualization, there is no need for an auto-correcting decoder, which reduces the complexity of the typing system.…”
Section: Hand Representation For Typing In Vrmentioning
confidence: 99%
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