Whole-system programming of adaptive ambient intelligence

Simon Dobson, Paddy Nixon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Ambient intelligence involves synthesising data from a range of sources in order to exhibit meaningful adaptive behaviour without explicit user direction, driven by inputs from largely independent devices and data sources. This immediately raises questions of how such behaviours are to be specified and programmed, in the face of uncertainty both in the data being sensed and the tasks being supported. We explore the issues that impact the stability and flexibility of systems, and use these issues to derive constraints and targets for the next generation of programming frameworks.

Original languageEnglish
Title of host publicationProceedings of HCI International 2007
Number of pages9
Publication statusPublished - 2007

Publication series

NameLecture Notes in Computer Science


Dive into the research topics of 'Whole-system programming of adaptive ambient intelligence'. Together they form a unique fingerprint.

Cite this