Abstract:Recently, households have begun to adopt networking technologies to interconnect devices within the home. Yet little is known about the consequences for households of setting up and living with these complex networks, nor the impact of such technologies on the routines of the home. In this paper, we report findings from an empirical study of households containing complex networks of computer and audio/visual technologies. Our study finds that home networks require significant household effort not just to coordinate their use, but also their set up and maintenance. We also show how the coordination around networking has to be worked into the routines of the home and the householders.
This paper presents a context-aware mobile recommender system, codenamed Magitti. Magitti is unique in that it infers user activity from context and patterns of user behavior and, without its user having to issue a query, automatically generates recommendations for content matching. Extensive field studies of leisure time practices in an urban setting (Tokyo) motivated the idea, shaped the details of its design and provided data describing typical behavior patterns. The paper describes the fieldwork, user interface, system components and functionality, and an evaluation of the Magitti prototype.
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