Evaluating a crowdsourced system development model for Ambient Intelligence

Abstract

In this paper, our objective is to report our findings in regard to the system support offered for building Ambient Intelligence environments and applications. The evaluation of system support for Ambient Intelligence is very difficult because we cannot find globally accepted metrics and because it is very difficult to evaluate large-scale and long-term Ambient Intelligence environments in real contexts. We thus focus on building a few evaluation deployments and report the main challenges we have faced on integrating Ambient Intelligence underlying computing infrastructure and physical spaces, mapping to patterns of situated interaction in everyday life. We have also adopted a Crowdsourced system software development model. With this model we want to provide an open and flexible infrastructure as system support for Ambient Intelligence that are based on a balanced combination between global services and situated devices: global services provide functionality that can be relevant anywhere, thus obviating the need to create dedicated services on a case-by-case basis.