TipText: Eyes-Free Text Entry on a Fingertip Keyboard

Xu, Zheer; Wong, Pui Chung; Gong, Jun; Wu, Te-Yen; Nittala, Aditya Shekhar; Bi, Xiaojun; Steimle, Jürgen; Fu, Hongbo; Zhu, Kening; Yang, Xing-Dong

doi:10.1145/3332165.3347865

Cited by 60 publications

(31 citation statements)

References 68 publications

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“…This is not to say that past work in blind-tapping and eyes-free gesture typing are flawed in any way; we believe that there is a second trade-off between hands-encumbered techniques such as those of Lu et al, Yang et al, and Zhu et al, and techniques that use more subtle forms of input via specialized controllers or restricted input spaces [1,13,42,45,46] as highlighted in Table 3. After minimal training, and considering Table 3, STAT's performance recommends it as a useful addition to the suite of techniques for text-based input on HMDs.…”

Section: Comparison Of Performance With Prior Workmentioning

confidence: 98%

“…Within this space, Ahn et al [1] explored various techniques that leverage a smartwatch's touch screen. TipText [42] uses small finger-tip gestures to capture text input (but requires augmentation of the fingertips). Researchers have also used the surface of an HMD for text input, e.g.…”

Section: Text Entry On Constrained Touchmentioning

confidence: 99%

“…Past research [12,22,25,39] addressed this by simply wearing the input device at belt or side, as in our strap-on condition. In the end, we chose to include a comparison of in-and out-ofpocket, as improving touch typing interactions on constrained touch interfaces is an area of ongoing research [1,8,9,12,20,42,49] with applications that include in-pocket text entry [49]. Given that many people do carry phones in their pants pockets (21 out of 23 of our survey respondents), we felt both in-and out-of-pocket had merit for exploration, but -while out-of-pocket text entry could be achieved through a strap on a users leg (e.g.…”

Section: Limitationsmentioning

confidence: 99%

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STAT: Subtle Typing Around the Thigh for Head-Mounted Displays

Henderson

Ceha

Lank

2020

22nd International Conference on Human-Computer Interaction With Mobile Devices and Services

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In head-mounted display (HMD) interaction, text entry is frequently supported via some form of virtual touch, controller, or ray casting keyboard. While these options effectively support text entry, they often incur costs of additional external hardware, awkward movements, and hand encumbrance. We propose STAT, a low-cost, mobile, touch typing technique that leverages a smartphone screen located at the thigh, to support both tap and word gesture text input for HMDs. Through a controlled laboratory study, we explore the efficacy of our technique-including a comparison of typing in and out of an enclosed pocket-and present design recommendations for the opportunistic use of a personal touchscreen device positioned at a user's thigh for HMD text entry. CCS CONCEPTS • Human-centered computing → Text input; User studies.

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Section: Comparison Of Performance With Prior Workmentioning

confidence: 98%

Section: Text Entry On Constrained Touchmentioning

confidence: 99%

Section: Limitationsmentioning

confidence: 99%

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STAT: Subtle Typing Around the Thigh for Head-Mounted Displays

Henderson

Ceha

Lank

2020

22nd International Conference on Human-Computer Interaction With Mobile Devices and Services

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“…Similarly, the location of touch-based inputs can proceed with some noticeable approaches, such as the spectacle frame of immersive reality headsets [220], handheld controller [223], as well as the surroundings of the headsets [129,133]. Recent works demonstrate more concealed operations for immersive reality in mobile environments, with on-body interaction [131], including but not limited to finger-to-forearm interaction [60], finger space interaction [132], and thumb-to-index finger interaction [218].…”

Section: The Frontier Of Interaction Design With Extended Realities (Ar/mr/vr)mentioning

confidence: 99%

Emerging ExG-based NUI Inputs in Extended Realities: A Bottom-up Survey

Shatilov

Chatzopoulos

Lee

et al. 2021

ACM Trans. Interact. Intell. Syst.

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Incremental and quantitative improvements of two-way interactions with e x tended realities (XR) are contributing toward a qualitative leap into a state of XR ecosystems being efficient, user-friendly, and widely adopted. However, there are multiple barriers on the way toward the omnipresence of XR; among them are the following: computational and power limitations of portable hardware, social acceptance of novel interaction protocols, and usability and efficiency of interfaces. In this article, we overview and analyse novel natural user interfaces based on sensing electrical bio-signals that can be leveraged to tackle the challenges of XR input interactions. Electroencephalography-based brain-machine interfaces that enable thought-only hands-free interaction, myoelectric input methods that track body gestures employing electromyography, and gaze-tracking electrooculography input interfaces are the examples of electrical bio-signal sensing technologies united under a collective concept of ExG. ExG signal acquisition modalities provide a way to interact with computing systems using natural intuitive actions enriching interactions with XR. This survey will provide a bottom-up overview starting from (i) underlying biological aspects and signal acquisition techniques, (ii) ExG hardware solutions, (iii) ExG-enabled applications, (iv) discussion on social acceptance of such applications and technologies, as well as (v) research challenges, application directions, and open problems; evidencing the benefits that ExG-based Natural User Interfaces inputs can introduce to the area of XR.

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“…As wearable devices (e.g., smartglasses and smartwatches) are being tightly interwoven into our daily lives, an easy-to-carry and always-available input device is desirable to interact with these devices [22,10,35]. A wireless ring-shaped keyboard, which supports text entry by detecting fnger typing, is one of the promising approaches [11,23].…”

Section: Introductionmentioning

confidence: 99%

TelemetRing: A Batteryless and Wireless Ring-shaped Keyboard using Passive Inductive Telemetry

Takahashi

Fukumoto²,

Han

et al. 2020

Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

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TelemetRing is a batteryless and wireless ring-shaped keyboard that supports command and text entry in daily lives by detecting fnger typing on various surfaces. The proposed inductive telemetry approach eliminates bulky batteries or capacitors from the ring part. Each ring consists of a sensor coil (the ring part itself), 1-DoF piezoelectric accelerometer, and varactor diode; moreover, it has different resonant frequencies. Typing shocks slightly shift the resonant frequency, and these are detected by a wrist-mounted readout coil. 5-bit chord keyboard is realized by attaching fve sensor rings on fve fngers. Our evaluation shows that the prototype achieved the tiny (6 g, 3.5 cm 3) ring sensor and 89.7% of typing detection ratio.

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TipText: Eyes-Free Text Entry on a Fingertip Keyboard

Cited by 60 publications

References 68 publications

STAT: Subtle Typing Around the Thigh for Head-Mounted Displays

STAT: Subtle Typing Around the Thigh for Head-Mounted Displays

Emerging ExG-based NUI Inputs in Extended Realities: A Bottom-up Survey

TelemetRing: A Batteryless and Wireless Ring-shaped Keyboard using Passive Inductive Telemetry

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