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Electronic Simulation for Virtual Reality: Virtual Prototyping
TPCG '04 Proceedings of the Theory and Practice of Computer Graphics 2004 (TPCG'04)
DistScroll " A New One-Handed Interaction Device
ICDCSW '05 Proceedings of the Fifth International Workshop on Smart Appliances and Wearable Computing - Volume 05
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Parallel Tracking and Mapping for Small AR Workspaces
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
MagicPhone: pointing & interacting
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A middleware for intelligent environments and the internet of things
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
IE '11 Proceedings of the 2011 Seventh International Conference on Intelligent Environments
Evaluating Mobile Applications in Virtual Environments: A Survey
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Testing context-aware services based on smartphones by agent based social simulation
Journal of Ambient Intelligence and Smart Environments - Intelligent agents in Ambient Intelligence and smart environments
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"There's An App For That" -- but how do we actually develop them? While smartphones and tablet PCs are getting more and more popular and their application scenarios are growing, we still develop them using only a standard integrated development environment. Although context-based services and apps do, next to network connectivity, require lots of sensor data, the tools for providing realistic sensor data during development are still immature. Developing, testing, debugging and evaluating those next-generation context-based apps require sensor data from the mobile device -- acceleration, motion, light, sound, camera and many more sensors are available. Though, the existing development tools do seriously limit application developers by not providing the data at all or only on a very limited scale. Especially for indoor environment applications such as indoor navigation, seamless interaction between public and private displays and activity recognition and monitoring, realistic sensor data are needed and simulation support during the development phase is essential. In this paper, we present our work towards a holistic approach for mobile application development in intelligent environments. At the example of the Android mobile device platform, we show how our approach can facilitate more effective and realistic means for mobile application development.