Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

AugIR Meets GestureCards: A Digital Sketching Environment for Gesture-Based Applications

View through CrossRef
Abstract To gain a common understanding of an application’s layouts, dialogs and interaction flows, development teams often sketch user interface (UI). Nowadays, they must also define multi-touch gestures, but tools for sketching UIs often lack support for custom gestures and typically just integrate a basic predefined gesture set, which might not suffice to specifically tailor the interaction to the desired use cases. Furthermore, sketching can be enhanced with digital means, but it remains unclear whether digital sketching is actually beneficial when designing gesture-based applications. We extended the AugIR, a digital sketching environment, with GestureCards, a hybrid gesture notation, to allow software engineers to define custom gestures when sketching UIs. We evaluated our approach in a user study contrasting digital and analog sketching of gesture-based UIs.
Title: AugIR Meets GestureCards: A Digital Sketching Environment for Gesture-Based Applications
Description:
Abstract To gain a common understanding of an application’s layouts, dialogs and interaction flows, development teams often sketch user interface (UI).
Nowadays, they must also define multi-touch gestures, but tools for sketching UIs often lack support for custom gestures and typically just integrate a basic predefined gesture set, which might not suffice to specifically tailor the interaction to the desired use cases.
Furthermore, sketching can be enhanced with digital means, but it remains unclear whether digital sketching is actually beneficial when designing gesture-based applications.
We extended the AugIR, a digital sketching environment, with GestureCards, a hybrid gesture notation, to allow software engineers to define custom gestures when sketching UIs.
We evaluated our approach in a user study contrasting digital and analog sketching of gesture-based UIs.

Related Results

GestureCards
GestureCards
Describing gestures in detail has various advantages for project teams: communication is simplified, interaction concepts are documented, and technical decisions are supported. Com...
Gesture Interaction Preference of Healthy APP for Elderly Users
Gesture Interaction Preference of Healthy APP for Elderly Users
Purpose: With the increase in the number of elderly people, the social problems of aging are becoming more and more prominent, and the consumption for the elderly is forming a larg...
Language Is Gesture
Language Is Gesture
A new way of viewing language, as a dynamic mode of meaning-making of which gesture is a fundamental part. When David McNeill began his work on gesture more than for...
Dynamic Gesture Recognition Based on iCPM and RNN
Dynamic Gesture Recognition Based on iCPM and RNN
Abstract Aim to solve the problem that continuous complex actions are difficult to be recognized by computer vision technology in actual production, this paper colle...
Elements of Meaning in Gesture
Elements of Meaning in Gesture
Summarizing her pioneering work on the semiotic analysis of gestures in conversational settings, Geneviève Calbris offers a comprehensive account of her unique perspective on the r...
The Stuff of Life: Gesture in Giuseppe Maria Mitelli’s Alfabeto in Sogno
The Stuff of Life: Gesture in Giuseppe Maria Mitelli’s Alfabeto in Sogno
My paper will look at Giuseppe Maria Mitelli’s 1683 human alphabet book, the Alfabeto in Sogno, as a consideration of gesture. Primarily, it will explore two connected aspects of g...
Eksistensi Digital Wedding Di Era Disrupsi Dalam Maqashid Syariah
Eksistensi Digital Wedding Di Era Disrupsi Dalam Maqashid Syariah
Abstract The era of disruption has presented a new phenomenon in wedding procedures, namely digital weddings.  The emergence of digital marriage raises questions about its validity...
Multiscale Wavelet Feature Extraction Integrated with CNN for Improved Gesture Prediction
Multiscale Wavelet Feature Extraction Integrated with CNN for Improved Gesture Prediction
Abstract This study focuses on the application of multiscale wavelet analysis to hand gesture recognition. A crucial component of human-computer interaction, hand gesture r...

Back to Top