Research Article
Fundamental Services for Context-Sensitive Mobile Applications
@INPROCEEDINGS{10.4108/ICST.MOBIQUITOUS2008.3866, author={Stephan Kopf and Thomas King and Philipp Bostan and Hendrik Lemelson and Sina Deibert and Wolfgang Effelsberg}, title={Fundamental Services for Context-Sensitive Mobile Applications}, proceedings={1st International ICST Workshop on Human Control of Ubiquitous Systems}, publisher={ACM}, proceedings_a={HUCUBIS}, year={2010}, month={5}, keywords={Context-sensitive service discovery indoor positioning image adaptation.}, doi={10.4108/ICST.MOBIQUITOUS2008.3866} }- Stephan Kopf
Thomas King
Philipp Bostan
Hendrik Lemelson
Sina Deibert
Wolfgang Effelsberg
Year: 2010
Fundamental Services for Context-Sensitive Mobile Applications
HUCUBIS
ICST
DOI: 10.4108/ICST.MOBIQUITOUS2008.3866
Abstract
A challenge for the development of mobile applications is the heterogeneity of the different device classes. For instance, an application which runs well on a personal digital assistant (PDA) might be unsuitable for mobile phones. To facilitate the development of mobile applications we have developed several services. We will elaborate on three fundamental services which simplify the user interaction: service discovery, indoor positioning, and image adaptation. These services enable a usercentered configuration of mobile applications. The search for a special service based on text queries or web browsing may be long-winded, because many services are not suitable for certain mobile devices. We have developed a context-sensitive service discovery technique which analyses user preferences and user context to select suitable services. An important context attribute is the current position of a user. Therefore, besides outdoor positioning services, we have developed an indoor positioning service, which reliably detects the position of a mobile device in buildings. The visualization of multimedia data is another important aspect for the human computer interaction due to the different display resolutions of mobile devices. Exemplarily, we present the image adaptation service which identifies relevant semantic content in images and adapts an image in an intelligent way to the screen resolution of a mobile device.
