Stylus input and editing without prior selection of mode

Saund, Eric; Lank, Edward

doi:10.1145/964696.964720

Cited by 56 publications

(30 citation statements)

References 13 publications

(8 reference statements)

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“…Thus we decided to remove the first trial of each set of 5 repeated trials from our analysis. Our analysis revealed a significant effect for Delimiter Technique, F (3,21) =18, p<.001. Post-hoc (Bonferroni) pairwise comparisons revealed that Timeout was significantly slower than all other delimiters (p<.01), but completion times for Pigtail, Handle, and Button did not differ significantly from one another.…”

Section: Completion Time: Main Experimental Blockmentioning

confidence: 66%

See 1 more Smart Citation

Design and analysis of delimiters for selection-action pen gesture phrases in scriboli

Hinckley

Baudisch

Ramos

et al. 2005

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

131

114

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We present a quantitative analysis of delimiters for pen gestures. A delimiter is "something different" in the input stream that a computer can use to determine the structure of input phrases. We study four techniques for delimiting a selection-action gesture phrase consisting of lasso selection plus marking-menu-based command activation. Pigtail is a new technique that uses a small loop to delimit lasso selection from marking ( Fig. 1). Handle adds a box to the end of the lasso, from which the user makes a second stroke for marking. Timeout uses dwelling with the pen to delimit the lasso from the mark. Button uses a button press to signal when to delimit the gesture. We describe the role of delimiters in our Scriboli pen interaction testbed, and show how Pigtail supports scope selection, command activation, and direct manipulation all in a single fluid pen gesture.

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Section: Completion Time: Main Experimental Blockmentioning

confidence: 66%

“…A tap is used as a cue to the system to attempt to recognize the preceding ink stroke(s). Stylus input without prior selection of mode [21] takes a recognition-based approach to classify lassos drawn during ink mode as selection gestures, and to provide options in a menu if it is uncertain.…”

Section: Related Workmentioning

confidence: 99%

Design and analysis of delimiters for selection-action pen gesture phrases in scriboli

Hinckley

Baudisch

Ramos

et al. 2005

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

131

114

View full text Add to dashboard Cite

show abstract

“…pressing a dedicated key(s) to get into gesture mode and pressing it again to get out of the gesture mode, required explicit effort on part of the user, were not intuitive and posed usability issues. Previous studies done around switching techniques in pen/stylus based interfaces have also proven that actions where the user must conventionally specify an intended mode before performing a task, end up being barriers to the usability of such systems [7,8,9]. In order to avoid explicit mode switching, we have come up with two different interactions, where in gesture indication and mode switching happen simultaneously.…”

Section: Gesture Invocationmentioning

confidence: 99%

GeCCo: Finger gesture-based command and control for touch interfaces

Madhvanath

Mandalapu

Madan

et al. 2012

2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)

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gesture recognition; touch gestures; mode-switching; adaptation With touch-based interfaces becoming commonplace on personal computing devices ranging from phones and slates to notebook and desktop PCs, a number of common tasks that were once performed using mouse or keyboard input now need to be performed using fingers on the touch surface. Finger-drawn gestures offer a viable alternative to desktop and keyboard shortcuts as shortcuts for common tasks such as launching of applications and navigation of large media collections. In order to be truly effective, the interface for definition, management and invocation of gestures should be highly intuitive, and optimized for the device. In particular, the process of invoking gestures should be seamless and natural. Further, the recognition of gestures needs to be robust for the specific user. In this paper, we describe GeCCo (Gesture Command and Control), a system for personalized finger gesture shortcuts for touch-enabled desktops and trackpad-enabled notebook PCs. One of the key issues addressed in the design of GeCCo is that of mode switching in the context of notebook PCs. We describe a user study to decide between different interactions for mode switching. The interactions are designed such that mode switch and gesture can be simultaneously indicated. Since new gestures may be defined by the user at any time, statistical pattern classification techniques which require large numbers of training samples for each gesture are not useful. Instead we use nearest-neighbor classification with Dynamic Time Warping (DTW) distance, and a writer adaptation scheme for improving accuracy to desired levels. We conclude the paper with experimental results and some thoughts on next steps. Abstract-With touch-based interfaces becoming mainstream on personal computing devices ranging from phones and slates to even notebook and desktop PCs, a number of common tasks that were once performed using mouse or keyboard input now need to be performed using fingers on the touch surface. In this paper, we focus on the use of finger gestures as shortcuts for tasks such as command and control of applications, navigation of large collections. A keyboard shortcut or desktop icon for an application may be substituted with a finger gesture e.g. tracing a gesture 'O' launches MS Outlook. Such gestures may be used even on a conventional notebook PC using the trackpad. However in order to be truly effective, the interface for definition, management and invocation of gestures should be highly intuitive, and customized to the available device hardware. In particular, it should be possible for the user to define and modify gestures as and when required, and the process of invoking gestures should be seamless and natural. Further, the recognition of gestures needs to be robust for the specific user. We describe GeCCo (Gesture Command and Control), an application prototype we have created for touch-enabled devices that allows the user to define his or her own gesture shortcuts for applications. One of t...

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“…However, WeMet system didn't go further beyond simple sketch support on PC-based meeting environment. One step beyond sketching without recognition, Saund et al and Rubine et al [9,10] proposed various PC-based approaches with handwritten text and gesture recognition. Devices bearing an active writable display (like Tablet PC's and PDA's) can be expensive to deploy.…”

Section: Related Workmentioning

confidence: 99%

POEMS: A Paper Based Meeting Service Management Tool

Liu¹,

Hu²

2007

Multimedia and Expo, 2007 IEEE International Conference On

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As more and more tools are developed for meeting support tasks, properly using these tools to get expected results becomes too complicated for many meeting participants. To address this problem, we propose POEMS (Paper Offered Environment Management Service) that allows meeting participants to control services in a meeting environment through a digital pen and an environment photo on digital paper. Unlike state-of-the-art device control interfaces that require interaction with text commands, buttons, or other artificial symbols, our photo enabled service access is more intuitive. Compared with PC and PDA supported control, this new approach is more flexible and cheap. With this system, a meeting participant can initiate a whiteboard on a selected public display by tapping the display image in the photo, or print out a display by drawing a line from the display image to a printer image in the photo. The user can also control video or other active applications on a display by drawing a link between a printed controller and the image of the display. This paper presents the system architecture, implementation tradeoffs, and various meeting control scenarios.

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Stylus input and editing without prior selection of mode

Cited by 56 publications

References 13 publications

Design and analysis of delimiters for selection-action pen gesture phrases in scriboli

Design and analysis of delimiters for selection-action pen gesture phrases in scriboli

GeCCo: Finger gesture-based command and control for touch interfaces

POEMS: A Paper Based Meeting Service Management Tool

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