Discovering frequent user-environment interactions in intelligent environments

Aztiria, Asier, Augusto, Juan Carlos ORCID: https://orcid.org/0000-0002-0321-9150, Basagoiti, Rosa, Izaguirre, Alberto and Cook, Diane J. (2012) Discovering frequent user-environment interactions in intelligent environments. Personal and Ubiquitous Computing, 16 (1) . pp. 91-103. ISSN 1617-4909 [Article] (doi:10.1007/s00779-011-0471-4)

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Abstract

Intelligent Environments are expected to act proactively, anticipating the user's needs and preferences. To do that, the environment must somehow obtain knowledge of those need and preferences, but unlike current computing systems, in Intelligent Environments the user ideally should be released from the burden of providing information or programming any device as much as possible. Therefore, automated learning of a user's most common behaviors becomes an important step towards allowing an
environment to provide highly personalized services.
In this paper we present a system that takes information collected by sensors as a starting point, and then discovers frequent relationships between actions carried out
by the user. The algorithm developed to discover such patterns is supported by a language to represent those patterns and a system of interaction which provides the
user the option to fine tune their preferences in a natural way, just by speaking to the system.

Item Type: Article
Keywords (uncontrolled): Ambient Intelligence � intelligent environments � pattern learning � machine learning techniques
Research Areas: A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 9973
Useful Links:
Depositing User: Dr. Juan C. Augusto
Date Deposited: 26 Mar 2013 15:01
Last Modified: 04 Feb 2021 05:48
URI: https://eprints.mdx.ac.uk/id/eprint/9973

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