BiTipText: Bimanual Eyes-Free Text Entry on a Fingertip Keyboard

Xu, Zheer; Chen, Wei-Hao; Zhao, Dongyang; Luo, Jiehui; Wu, Te-Yen; Gong, Jun; Yin, Sicheng; Zhai, Jialun; Yang, Xing-Dong

doi:10.1145/3313831.3376306

Cited by 30 publications

(2 citation statements)

References 44 publications

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“…Corsten et al highlight how the force and angle of thumb-input can be used on smartphones to reduce the size of input widgets [15]. Taken the concept of thumb-based input even further, Xu et al present a miniature fingertip keyboard that allows for eyes-free text entry based on 3D tracking of participant fingers [73]. The backside of smartphones, as well as the case and bezel of smartwatches, have also been explored as an input surface [71,77], allowing users to interact without obstructing the screen.…”

Section: Tangible Data Input Techniquesmentioning

confidence: 99%

Tangible Self-Report Devices: Accuracy and Resolution of Participant Input

Berkel

Merritt

Bruun

et al. 2022

Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction

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Tangible input has been explored as a means for participants to self-report experiences while minimising disruption and allowing for discrete data collection. However, the accuracy of these tangible devices has not been studied systematically. We compared six input techniques, including slider, slider with resistance, capacitive touch slider, squeeze, rotary knob, and joystick, to understand their accuracy and resolution profile. Each of these wireless devices was designed in a similar form factor and intended to be operated discretely with one hand. We assessed input accuracy and participant perceptions across devices through a controlled lab study (N = 20), highlighting diverging limits to the accuracy of the input technique and possible explanations for the differences in resolution. Our results indicate that participant accuracy was highest using a slider, and lowest using a squeeze-based input. We discuss the suitability and challenges of discreet tangible self-report techniques, and highlight open research questions for future work. CCS CONCEPTS• Human-centered computing → Ubiquitous and mobile computing design and evaluation methods; Mobile devices; Empirical studies in ubiquitous and mobile computing.

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Section: Tangible Data Input Techniquesmentioning

confidence: 99%

Tangible Self-Report Devices: Accuracy and Resolution of Participant Input

Berkel

Merritt

Bruun

et al. 2022

Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction

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“…The study developed an optimization model to identify the thumb that can minimize the travel time between keys and utilized it to improve the typing speed of a split QWERTY soft keyboard for a 7-inch Tablet PC. More recently, Xu et al [13] proposed a new keystroke guide for the left and right thumbs that can help users utilize their muscle memory habituated from two-thumb text entry on a QWERTY soft keyboard and thereby improve typing speed. They developed a simulation model to derive the key arrangement for each thumb that can maximize eyes-free typing speed and exploited it in the design of a bimanual fingertip keyboard to advance typing performance and usability.…”

Section: Introductionmentioning

confidence: 99%

Which Thumb, the Left or Right, Touches the Letter Keys on a Smartphone QWERTY Soft Keyboard during Two-Thumb Key Entry?

Yu,

Park,

Chang

2023

Applied Sciences

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This study aims to observe which thumb, the left or right, is used for keystrokes and examine the patterns during two-thumb key entry on a smartphone QWERTY soft keyboard. A total of 36 college students, including 18 left-handed and 18 right-handed, were recruited for testing, and they had 9.7 years of smartphone use experience on average. A smartphone application was implemented, and whether the left or right thumb was used for touch interactions was recorded for each of the 26 letter keys. As a result, it was found that there were slightly more letter keys that were statistically more often tapped by the left thumb during the two-thumb key entry on the QWERTY soft keyboard, regardless of the participant’s handedness. In addition, all the letter keys were touched statistically more often with the relatively closer one of both thumbs, except for the letter keys G and V in the center. It seemed that the distance between keys and thumbs was regarded as the most important factor influencing the thumb choice for keystrokes, followed by the habituated experience of using physical QWERTY keyboards.

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