Investigating Tilt-based Gesture Keyboard Entry for Single-Handed Text Entry on Large Devices

Yeo, Hui-Shyong; Phang, Xiao-Shen; Castellucci, Steven J.; Kristensson, Per Ola; Quigley, Aaron

doi:10.1145/3025453.3025520

Cited by 43 publications

(26 citation statements)

References 34 publications

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“…Other researchers have proposed techniques that take advantage of other potentially useful information from the user, the environment, or mobile devices such as head orientation [50], gaze location [47], foot taps [18], or the orientation of a smart device [56,57].…”

Section: Pointing With Advanced Sensorsmentioning

confidence: 99%

Pointing All Around You

Petford

Nacenta

Gutwin

2018

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

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As display environments become larger and more diversenow often encompassing multiple walls and room surfacesit is becoming more common that users must find and manipulate digital artifacts not directly in front of them. There is little understanding, however, about what techniques and devices are best for carrying out basic operations above, behind, or to the side of the user. We conducted an empirical study comparing two main techniques that are suitable for full-coverage display environments: mouse-based pointing, and ray-cast 'laser' pointing. Participants completed search and pointing tasks on the walls and ceiling, and we measured completion time, path lengths and perceived effort. Our study showed a strong interaction between performance and target location: when the target position was not known a priori the mouse was fastest for targets on the front wall, but ray-casting was faster for targets behind the user. Our findings provide new empirical evidence that can help designers choose pointing techniques for full-coverage spaces.

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Section: Pointing With Advanced Sensorsmentioning

confidence: 99%

Pointing All Around You

Petford

Nacenta

Gutwin

2018

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

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“…In this context, future work should investigate recent mobile text entry techniques for VR, e.g. based on gesturing [35].…”

Section: Limitations and Future Workmentioning

confidence: 99%

Text Entry in Immersive Head-Mounted Display-Based Virtual Reality Using Standard Keyboards

Grubert

Witzani

Ofek

et al. 2018

2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

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118

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We study the performance and user experience of two popular mainstream text entry devices, desktop keyboards and touchscreen keyboards, for use in Virtual Reality (VR) applications. We discuss the limitations arising from limited visual feedback, and examine the efficiency of different strategies of use. We analyze a total of 24 hours of typing data in VR from 24 participants and find that novice users are able to retain about 60% of their typing speed on a desktop keyboard and about 40-45% of their typing speed on a touchscreen keyboard. We also find no significant learning effects, indicating that users can transfer their typing skills fast into VR. Besides investigating baseline performances, we study the position in which keyboards and hands are rendered in space. We find that this does not adversely affect performance for desktop keyboard typing and results in a performance trade-off for touchscreen keyboard typing.

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“…In this context, future work should investigate recent mobile text entry techniques for VR, e.g. based on gesturing [43].…”

Section: Limitations and Future Workmentioning

confidence: 99%

Effects of Hand Representations for Typing in Virtual Reality

Grubert

Witzani

Ofek

et al. 2018

2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)

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Figure 1: Views on the conditions studied in the experiment on effects of hand representations for typing in VR. From left to right: NoHand, IKHand, Fingertip and VideoHand. AbstractAlphanumeric text entry is a challenge for Virtual Reality (VR) applications. VR enables new capabilities, impossible in the real world, such as an unobstructed view of the keyboard, without occlusion by the user's physical hands. Several hand representations have been proposed for typing in VR on standard physical keyboards. However, to date, these hand representations have not been compared regarding their performance and effects on presence for VR text entry. Our work addresses this gap by comparing existing hand representations with minimalistic fingertip visualization. We study the effects of four hand representations (no hand representation, inverse kinematic model, fingertip visualization using spheres and video inlay) on typing in VR using a standard physical keyboard with 24 participants. We found that the fingertip visualization and video inlay both resulted in statistically significant lower text entry error rates compared to no hand or inverse kinematic model representations. We found no statistical differences in text entry speed.

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Investigating Tilt-based Gesture Keyboard Entry for Single-Handed Text Entry on Large Devices

Cited by 43 publications

References 34 publications

Pointing All Around You

Pointing All Around You

Text Entry in Immersive Head-Mounted Display-Based Virtual Reality Using Standard Keyboards

Effects of Hand Representations for Typing in Virtual Reality

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