JOURNAL ARTICLE

Visualization in Multimodal User Interfaces of Mobile Applications

Georg FuchsHeidrun Schumann

Year: 2005 Journal:   Leibniz-Zentrum für Informatik (Schloss Dagstuhl)   Publisher: Schloss Dagstuhl – Leibniz Center for Informatics

Abstract

Advanced user interfaces are a crucial factor in the success of mobile information systems employed by different users on a variety of devices. They should provide state-of-the-art visualization and interaction techniques taylored for specific tasks, while at the same time allow flexible deployment of these components on a multitude of (mobile) hardware platforms. Especially visualizations have to adapt to the platform capabilities in order to remain not only effective, but also adequate. Focus & Context techniques are one way to efficiently make use of displays with low resolution and size, as are lens techniques. Here, a good tradeoff between complexity and response time is important. Also, complex inputs are not feasible on most mobile devices. Simple, straightforward, context-driven interaction options must be presented to a user. The above can be archieved by integrating a task model, user (role) and resource models as well as multimodal interaction facilities such as speech recognition, into the user interface component of mobile information systems. The talk will report on research on the above aspects within the M6C project.

Keywords:
Computer science Human–computer interaction Visualization User interface Context (archaeology) Focus (optics) Variety (cybernetics) Mobile device User interface design Multimodal interaction Component (thermodynamics) Data visualization Resource (disambiguation) User experience design Software deployment World Wide Web Software engineering Artificial intelligence

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Topics

Usability and User Interface Design
Physical Sciences →  Computer Science →  Human-Computer Interaction
Multimedia Communication and Technology
Social Sciences →  Social Sciences →  Sociology and Political Science
Data Visualization and Analytics
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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