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 |
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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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