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Towards a user preference model for interior lighting Part 1: Concept of the user preference model and experimental method

Khanh, T. Q. ; Bodrogi, P. ; Guo, X. ; Anh, P. Q. (2024)
Towards a user preference model for interior lighting Part 1: Concept of the user preference model and experimental method.
In: Lighting Research & Technology, 2019, 51 (7)
doi: 10.26083/tuprints-00016612
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Towards a user preference model for interior lighting Part 1: Concept of the user preference model and experimental method
Language: English
Date: 21 May 2024
Place of Publication: Darmstadt
Year of primary publication: 2019
Place of primary publication: London
Publisher: SAGE Publications
Journal or Publication Title: Lighting Research & Technology
Volume of the journal: 51
Issue Number: 7
DOI: 10.26083/tuprints-00016612
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

The objective and subjective factors influencing human-centric lighting design and their effect on the user of the lighting system are analysed with the aim of developing a user preference model. It is discussed how to apply this user preference model in the Internet of Things network structure of luminaires in order to obtain an ‘Internet of Luminaires’ for good user acceptance. The method of a visual experiment intended to elucidate these concepts and contribute to the user preference model is described. In the experiment, subjects assessed scene brightness, visual clarity, colour preference and scene preference in a real room. Modelling equations of these attributes will be shown and discussed in Part 2 of this work.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-166123
Classification DDC: 600 Technology, medicine, applied sciences > 621.3 Electrical engineering, electronics
Divisions: 18 Department of Electrical Engineering and Information Technology > Adaptive Lighting Systems and Visual Processing
Date Deposited: 21 May 2024 09:09
Last Modified: 24 May 2024 12:27
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/16612
PPN: 51851322X
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