A Shortcut for Caret Positioning on Touch-Screen Phones

Lai, Jianwei; Rajabi, Navid; Javadi, Elahe

doi:10.1145/3338286.3340146

Cited by 6 publications

(1 citation statement)

References 9 publications

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“…The majority of the studies on text manipulation focuses on the touch-based interfaces appearing in various computing devices [1,22]. The following examples illustrate that text manipulations on laptop computers and smartphones are never an easy task in the domain of human-computer interaction, although a laptop computer owns a spacious touchpad for controlling the caret position within in-text environments.…”

Section: Text Selection On Touch-based Interfacesmentioning

confidence: 99%

Press-n-Paste: Copy-and-Paste Operations with Pressure-sensitive Caret Navigation for Miniaturized Surface in Mobile Augmented Reality

Lee

Zhu

Yau

et al. 2021

Proc. ACM Hum.-Comput. Interact.

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Copy-and-paste operations are the most popular features on computing devices such as desktop computers, smartphones and tablets. However, the copy-and-paste operations are not sufficiently addressed on the Augmented Reality (AR) smartglasses designated for real-time interaction with texts in physical environments. This paper proposes two system solutions, namely Granularity Scrolling (GS) and Two Ends (TE), for the copy-and-paste operations on AR smartglasses. By leveraging a thumb-size button on a touch-sensitive and pressure-sensitive surface, both the multi-step solutions can capture the target texts through indirect manipulation and subsequently enables the copy-and-paste operations. Based on the system solutions, we implemented an experimental prototype named Press-n-Paste (PnP). After the eight-session evaluation capturing 1,296 copy-and-paste operations, 18 participants with GS and TE achieve the peak performance of 17,574 ms and 13,951 ms per copy-and-paste operation, with 93.21% and 98.15% accuracy rates respectively, which are as good as the commercial solutions using direct manipulation on touchscreen devices. The user footprints also show that PnP has a distinctive feature of miniaturized interaction area within 12.65 mm * 14.48 mm. PnP not only proves the feasibility of copy-and-paste operations with the flexibility of various granularities on AR smartglasses, but also gives significant implications to the design space of pressure widgets as well as the input design on smart wearables.

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Section: Text Selection On Touch-based Interfacesmentioning

confidence: 99%