A hybrid framework to program smart environments

Aiman Erbad*, Charles Krasic

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Smart environments improve the user experience by customizing the environment according to her/his preferences. Preferences are either captured by agent learning or specified through user-centric programming. Autonomous agents use artificial intelligence to implicitly learn the reactions to different stimulus without user control over what or when to learn. Conversely, user-centric techniques enable users to explicitly associate the appropriate actions with specific conditions in a teaching session. This project presents a hybrid framework that utilizes Behavior-Based AI to customize smart environment settings while giving the user control over the high level environment behavior. The framework uses a voice recognition interface supported by an underlying programming engine to improve usability, flexibility and correctness.

Original languageEnglish
Title of host publicationInnovations'07
Subtitle of host publication4th International Conference on Innovations in Information Technology, IIT
PublisherIEEE Computer Society
Pages228-232
Number of pages5
ISBN (Print)9781424418411
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventInnovations'07: 4th International Conference on Innovations in Information Technology, IIT - Dubai, United Arab Emirates
Duration: 18 Nov 200720 Nov 2007

Publication series

NameInnovations'07: 4th International Conference on Innovations in Information Technology, IIT

Conference

ConferenceInnovations'07: 4th International Conference on Innovations in Information Technology, IIT
Country/TerritoryUnited Arab Emirates
CityDubai
Period18/11/0720/11/07

Fingerprint

Dive into the research topics of 'A hybrid framework to program smart environments'. Together they form a unique fingerprint.

Cite this