An intelligent lighting system: learn user preferences from inconsistent feedback

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)
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Samenvatting

In this paper, we propose an intelligent lighting system that is able to learn the most preferred light level of a user by iteratively interacting with the user. In each iteration, the system offers the user a certain amount of light and the user gives his feedback to the system. When the user is satisfied, implicit feedback is given by not intervening the system. Otherwise explicit feedback such as "too bright" or "too dark" will be given. Each user feedback is modeled as a probabilistic event, which means that it is possible that sometimes the user will give different feedback for the same light level. To avoid disturbing the user to much, we propose a learning algorithm which learns the most preferred light level of the user with only a few explicit interventions.
Originele taal-2Engels
TitelProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc
Pagina's1620-1626
Aantal pagina's7
ISBN van geprinte versie978-1-4503-4462-3
DOI's
StatusGepubliceerd - 2016
Evenement2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) - Heidelberg, Duitsland
Duur: 12 sep 201616 sep 2016
http://ubicomp.org/ubicomp2016/index.php

Congres

Congres2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016)
Verkorte titelUbiComp2016
LandDuitsland
StadHeidelberg
Periode12/09/1616/09/16
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