TextTearing

Yoon, Dongwook; Chen, Nicholas; Guimbretière, François

doi:10.1145/2501988.2502036

Cited by 34 publications

(18 citation statements)

References 20 publications

(21 reference statements)

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“…The design of some of these digital text reading environments was informed by studies of active reading tasks [29,63]. Some have also suggested leveraging the digital environment to support new tasks, such as TextTearing to create space for annotations [73] or word-scale visualizations to allow cross-referencing within a text [22].…”

Section: Digital Support For Active Reading Of Textmentioning

confidence: 99%

Active Reading of Visualizations

Walny

Huron

Périn

et al. 2018

IEEE Trans. Visual. Comput. Graphics

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract-We investigate whether the notion of active reading for text might be usefully applied to visualizations. Through a qualitative study we explored whether people apply observable active reading techniques when reading paper-based node-link visualizations. Participants used a range of physical actions while reading, and from these we synthesized an initial set of active reading techniques for visualizations. To learn more about the potential impact such techniques may have on visualization reading, we implemented support for one type of physical action from our observations (making freeform marks) in an interactive node-link visualization. Results from our quantitative study of this implementation show that interactive support for active reading techniques can improve the accuracy of performing low-level visualization tasks. Together, our studies suggest that the active reading space is ripe for research exploration within visualization and can lead to new interactions that make for a more flexible and effective visualization reading experience. Permanent repository linkIndex Terms-active reading of visualizations, active reading, information visualization, spectrum of physical engagement

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Section: Digital Support For Active Reading Of Textmentioning

confidence: 99%

Active Reading of Visualizations

Walny

Huron

Périn

et al. 2018

IEEE Trans. Visual. Comput. Graphics

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“…Yoon et al [19] made use of the model of Vogel et al to reject unintended touches while an active stylus pen is recognized. Whereas for the handwriting with a general stylus pan, the pen nib does not always touch a display.…”

Section: Multi-touch Interactionmentioning

confidence: 99%

“…According to the past researches [19] and the existing application [17], utilizing an occlusion area will be a reliable approach to reduce occurrences of IDIR. It is important to point out that in making the dynamical occlusion area without any pen nib information, this then requires other information which detects can detect hand positions.…”

Section: Our Approachmentioning

confidence: 99%

Toward the reduction of incorrect drawn ink retrieval

Kitani

Kimura

Nakatani

2017

Hum. Cent. Comput. Inf. Sci.

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As tablet devices become popular, various handwriting applications are used. Some of applications incorporate a specific function, which is generally called palm rejection. Palm rejection enables application users to put the palm of a writing hand onto a touch display. It classifies intended touches and unintended touches so that it prevents accidental inking, which has been known to occur under the writing hand. Though some of palm rejections can remove accidental inking afterward, this function occasionally does not execute correctly as it may remove rather correct ink strokes as well. We call this interaction Incorrect Drawn Ink Retrieval (IDIR). In this paper, we propose a software algorithm that is a combination of two palm rejection logics that reduces IDIR with precision and without latency. That algorithm does not depend on specific hardware, such as an active stylus pen. Our data provides 98.98% correctness and the algorithm takes less than 10 ms for the distinction. We confirm that our experimental application reduced the occurrences of IDIR throughout an experiment.

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“…Other palmrejection techniques require the user to bring the pen tip on or near the screen before setting the palm down, which requires users to modify their natural movements (e.g. [55], or Microsoft Windows tablets, which turn off touch when the pen comes in range). Our approach uses sensors to detect when a touchscreen contact is associated with the hand holding the pen, thus showing that the problem can be framed as one of sensing appropriate contextual information.…”

Section: Palm Detection and Unintentional Touch Handlingmentioning

confidence: 99%

“…In the modern context of multi-touch tablets, pen input has received renewed interest, particularly when used as a distinct modality in tandem with touch [21,34,55]. However, many problems and ambiguities arise because the system can't easily determine whether the user intends to interact with the pen, with touch, or with the two in combination.…”

Section: Introductionmentioning

confidence: 99%

Sensing techniques for tablet+stylus interaction

Hinckley

Pahud

Benko

et al. 2014

Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology

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We explore grip and motion sensing to afford new techniques that leverage how users naturally manipulate tablet and stylus devices during pen + touch interaction. We can detect whether the user holds the pen in a writing grip or tucked between his fingers. We can distinguish bare-handed inputs, such as drag and pinch gestures produced by the nonpreferred hand, from touch gestures produced by the hand holding the pen, which necessarily impart a detectable motion signal to the stylus. We can sense which hand grips the tablet, and determine the screen's relative orientation to the pen. By selectively combining these signals and using them to complement one another, we can tailor interaction to the context, such as by ignoring unintentional touch inputs while writing, or supporting contextually-appropriate tools such as a magnifier for detailed stroke work that appears when the user pinches with the pen tucked between his fingers. These and other techniques can be used to impart new, previously unanticipated subtleties to pen + touch interaction on tablets.

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TextTearing

Cited by 34 publications

References 20 publications

Active Reading of Visualizations

Active Reading of Visualizations

Toward the reduction of incorrect drawn ink retrieval

Sensing techniques for tablet+stylus interaction

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