In this paper, qualitative descriptors of images (QIDL(+)), 3D scenes (QSn3D) and movements (QMD) are proposed to be applied to ambient intelligent systems for: (i) improving human-computer interaction and (ii) enhancing their reasoning capabilities. These qualitative descriptors align with human perception and are used to produce narratives. Moreover, logic descriptions are obtained in first order logic and Prolog syntax, which enables straightforward reasoning capabilities. Finally, some use case tests carried out at Cartesium - the intelligent building at Spatial Cognition centre, at the University of Bremen are provided to show the flexibility and applicability of these qualitative descriptors. The results provided are discussed in terms of usability, logic framework used and integration of descriptors.