Abstract
Each day more and more new technological devices appear in our world. We want to have everything connected so that we can monitor different aspects inside a city such as the traffic, or inside a building such the position of the people. Even nearly everyone now owns a mobile phone that carries with himself all the time and that enables them to receive information of that type in real time. The problem with such infrastructures is how expensive it is to install and maintain an ambient intelligence environment, so a tool to help in this task would be really appreciated. In this paper we propose the creation of such tool as an AmI simulator that integrates both a network and a social simulator. The authors performed a case study where four experts and twenty-one learners were involved in order to analyze the qualitative characteristics of an AmI simulator, studied whether a simulator can draw more conclusions than the execution of a social and network simulator separately; and finally studied the user satisfaction with an AmI simulator.
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