Tap, Dwell or Gesture?

Yu, Chun; Gu, Yizheng; Yang, Zhican; Yi, Xin; Luo, Huiwu; Shi, Yuanchun

doi:10.1145/3025453.3025964

Cited by 125 publications

(37 citation statements)

References 34 publications

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“…The Microsoft HoloLens supports text input in augmented reality applications through a holographic keyboard and a pointer which is controlled using head rotation. Yu et al [21] also studied head-based text entry for VR and combined the concept with gesture-word recognition whereby experienced users perform up to 25 WPM. The VR system FaceTouch [5] leverages a touch-sensitive front cover of the HMD and the sense of proprioception to enable text input with up to ten WPM on a virtual keyboard.…”

Section: Text Inputmentioning

confidence: 99%

Physical Keyboards in Virtual Reality

Knierim

Schwind

Feit

et al. 2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

139

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Entering text is one of the most common tasks when interacting with computing systems. Virtual Reality (VR) presents a challenge as neither the user's hands nor the physical input devices are directly visible. Hence, conventional desktop peripherals are very slow, imprecise, and cumbersome. We developed a apparatus that tracks the user's hands, and a physical keyboard, and visualize them in VR. In a text input study with 32 participants, we investigated the achievable text entry speed and the effect of hand representations and transparency on typing performance, workload, and presence. With our apparatus, experienced typists benefited from seeing their hands, and reach almost outside-VR performance. Inexperienced typists profited from semi-transparent hands, which enabled them to type just 5.6 WPM slower than with a regular desktop setup. We conclude that optimizing the visualization of hands in VR is important, especially for inexperienced typists, to enable a high typing performance.

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Section: Text Inputmentioning

confidence: 99%

Physical Keyboards in Virtual Reality

Knierim

Schwind

Feit

et al. 2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

139

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“…Pointing with the head has been done for more than 20 years (e.g., [Ballard and Stockman 1995]). A recent study [Yu et al 2017] used the inertial measurement unit (IMU) in an HMD to type by head pointing. Dwell selection (400 ms) was found less efficient than click selection, while head gestures were fastest.…”

Section: Prior Workmentioning

confidence: 99%

A Fitts' law study of click and dwell interaction by gaze, head and mouse with a head-mounted display

Hansen

Rajanna²,

MacKenzie

et al. 2018

Proceedings of the Workshop on Communication by Gaze Interaction

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Gaze and head tracking, or pointing, in head-mounted displays enables new input modalities for point-select tasks. We conducted a Fitts' law experiment with 41 subjects comparing head pointing and gaze pointing using a 300 ms dwell (n = 22) or click (n = 19) activation, with mouse input providing a baseline for both conditions. Gaze and head pointing were equally fast but slower than the mouse; dwell activation was faster than click activation. Throughput was highest for the mouse (3.24 bits/s), followed by head pointing (2.47 bits/s) and gaze pointing (2.13 bits/s). Dwell activation was faster than click activation. The effective target width for gaze (≈ 94 pixels; about 3 •) was larger than for head and mouse (≈ 72 pixels; about 2.5 •). Subjective feedback rated the physical workload less for gaze pointing than head pointing.

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“…For typing sessions of 10mins each, BCR performed best with 15 WPM, while headpointing was at 10.2 WPM. Yu et al [81] compare letter-entry and WGT using headpointing for an HMD, and found WGT to be the fastest, reaching 24.7 WPM in the final session (80 phrases). Headpointing is a reasonable no-handed (although it requires button input for word confirmation) typing method for AR/VR.…”

Section: Typing In Vr/armentioning

confidence: 99%