End-User Development in Ambient Intelligence

Abstract

In this paper we propose a novel conceptual framework for the design and continuous evolution of ambient intelligence environments. This framework is structured along three layers - physical, inference and user layer - sharing an information space of events, conditions and actions. In particular, an end-user development approach is advocated for the user layer to support rule design and development. At this stage of the research agenda, we are investigating which could be the most suitable interaction style for rule design: indeed, it should be compatible with the underlying distributed inference layer and easy to use by a community of end users (e.g. a family). To this aim, this paper presents a user study that explores end-user development tasks for a smart home and compares two well-known systems in supporting end users in these activities. The results of the study have provided some indications for the further implementation of our framework.