It is increasingly common for software and hardware systems to support touch-based interaction. While the technology to support this interaction is still evolving, common protocols for providing consistent communication between hardware and software are available. However, this is not true for gesture recognition – the act of translating a series of strokes or touches into a system recognizable event. Developers often end up writing code for this process from scratch due to the lack of higher-level frameworks for defining new gestures. Gesture recognition can contain a significant amount of
Despite the considerable quantity of research directed towards multitouch technologies, a set of standardized UI components have not been developed. Menu systems provide a particular challenge, as traditional GUI menus require a level of pointing precision inappropriate for direct finger input. Marking menus are a promising alternative, but have yet to be investigated or adapted for use within multitouch systems. In this paper, we first investigate the human capabilities for performing directional chording gestures, to assess the feasibility of multitouch marking menus. Based on the positive
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TEAM MEMBERS:
Julian LepinskiTovi GrossmanGeorge Fitzmaurice
Modern mobile phones can store a large amount of data, such as contacts, applications and music. However, it is difficult to access specific data items via existing mobile user interfaces. In this paper, we present Gesture Search, a tool that allows a user to quickly access various data items on a mobile phone by drawing gestures on its touch screen. Gesture Search contributes a unique way of combining gesture-based interaction and search for fast mobile data access. It also demonstrates a novel approach for coupling gestures with standard GUI interaction. A real world deployment with mobile
In this paper, we propose Objects, Containers, Gestures, and Manipulations (OCGM, pronounced like Occam’s Razor) as universal foundational metaphors of Natural User Interfaces. We compare OCGM to existing paradigms using SRK behavior classification and early childhood cognitive development, and justify the “universal” and “foundational” descriptors based upon cognitive linguistics and universal grammar. If adopted, OCGM would significantly improve the conceptual understanding of NUIs by developers and designers and ultimately result in better NUI applications.
We introduce our view of the relation between symbolic gestures and manipulations in multi-touch Natural User Interfaces (NUI). We identify manipulations not gestures as the key to truly natural interfaces. Therefore we suggest that future NUI research should be more focused on designing visual workspaces and model-world interfaces that are especially appropriate for multi-touch manipulations.
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TEAM MEMBERS:
Hans-Christian JetterJens GerkenHarald Reiterer
Though many tabletop applications allow users to interact with the application using complex multi-touch gestures, automated tool support for testing such gestures is limited. As a result, gesture-based interactions with an application are often tested manually, which is an expensive and error prone process. In this paper, we present TouchToolkit, a tool designed to help developers automate their testing of gestures by incorporating recorded gestures into unit tests. The design of TouchToolkit was informed by a small interview study conducted to explore the challenges software developers face
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TEAM MEMBERS:
Shahedul Huq KhandkarS. M. SohanJonathan SillitoFrank Maurer