Abstract-In this paper, we introduce and evaluate a community-based music voting service that relies on a DHTbased peer-to-peer network. Each community is created as a separate DHT overlay that is connected to a specific entertainment premise such as a cafeteria. A small-scale user testing was conducted in a laboratory environment to examine the attitudinal, social and perceived behavioral control factors associated with the community-based music voting service. Data was collected using questionnaires and short group interviews. The results indicate that the community-based services are seen attractive, and the service as such a very interesting and applicable idea, but the functionality would need to be enhanced.

In mobile networking, the use of context information in a versatile manner is emerging. Context information, which characterizes the situation of an entity, provides ease of use in mobile devices with limited input and output capabilities. A mobile peer-to-peer navigation application uses context information to verify this statement. It acts as a graphical user interface for group-based context-aware communication and as an enabler of inter-application cooperation. It uses an intelligent application platform for distributing context information. The analytical results consist of quantitative evaluation, involving functional testing and delay analysis, and a qualitative evaluation, involving user testing. The concepts of group-based context distribution and interapplication cooperation were found functional and useful.

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Understanding the economical effects of a technology has become more and more important. This has created a need for a conceptual framework to analyze the economic implications of technologies already in their design stage. So far, most of the research has been done in retrospect. Our framework is an organized approach to analyze this complex multidisciplinary task. The framework is experimented by analysing a case of a personalized mobile context-aware community web calendar. The market structure analysis concentrates on three solutions designed for the collection and distribution of user context and community information, an essential functionality for the service being developed.