It is essential for environments that aim at helping people in their daily life that they have some sort of Ambient Intelligence. Learning the preferences and habits of users then becomes an important step in allowing a system to provide such personalized services. Thus far, the exploration of these issues by the scientific community has not been extensive, but interest in the area is growing. Ambient Intelligence environments have special characteristics that have to be taken into account during the learning process. We identify these characteristics and use them to highlight the strengths and weaknesses of developments so far, providing direction to encourage further development in this specific area of Ambient Intelligence.
%0 Journal Article
%1 AztiriaIzaguirreAugusto10air
%A Aztiria, Asier
%A Izaguirre, Alberto
%A Augusto, Juan
%D 2010
%J Artificial Intelligence Review
%K v1500 springer paper embedded ai action recognition learn assist zzz.ami
%N 1
%P 35-51
%R 10.1007/s10462-010-9160-3
%T Learning Patterns in Ambient Intelligence Environments: A Survey
%V 34
%X It is essential for environments that aim at helping people in their daily life that they have some sort of Ambient Intelligence. Learning the preferences and habits of users then becomes an important step in allowing a system to provide such personalized services. Thus far, the exploration of these issues by the scientific community has not been extensive, but interest in the area is growing. Ambient Intelligence environments have special characteristics that have to be taken into account during the learning process. We identify these characteristics and use them to highlight the strengths and weaknesses of developments so far, providing direction to encourage further development in this specific area of Ambient Intelligence.
@article{AztiriaIzaguirreAugusto10air,
abstract = {It is essential for environments that aim at helping people in their daily life that they have some sort of Ambient Intelligence. Learning the preferences and habits of users then becomes an important step in allowing a system to provide such personalized services. Thus far, the exploration of these issues by the scientific community has not been extensive, but interest in the area is growing. Ambient Intelligence environments have special characteristics that have to be taken into account during the learning process. We identify these characteristics and use them to highlight the strengths and weaknesses of developments so far, providing direction to encourage further development in this specific area of Ambient Intelligence.},
added-at = {2012-05-30T10:42:39.000+0200},
author = {Aztiria, Asier and Izaguirre, Alberto and Augusto, Juan},
biburl = {https://www.bibsonomy.org/bibtex/2772bfddd4c99e2389c06a9cf5c703312/flint63},
doi = {10.1007/s10462-010-9160-3},
file = {SpringerLink:2010/AztiriaIzaguirreAugusto10air.pdf:PDF},
groups = {public},
interhash = {c04d93f140d5ebd6a644d756c6e7fcdb},
intrahash = {772bfddd4c99e2389c06a9cf5c703312},
issn = {0269-2821},
journal = {Artificial Intelligence Review},
keywords = {v1500 springer paper embedded ai action recognition learn assist zzz.ami},
month = {#jun#},
number = 1,
pages = {35-51},
timestamp = {2018-04-16T11:37:10.000+0200},
title = {Learning Patterns in Ambient Intelligence Environments: A Survey},
username = {flint63},
volume = 34,
year = 2010
}