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Towards a user preference model for interior lighting. Part 2: Experimental results and modelling

Khanh, TQ ; Bodrogi, P ; Guo, X ; Anh, PQ (2024)
Towards a user preference model for interior lighting. Part 2: Experimental results and modelling.
In: Lighting Research & Technology, 2019, 51 (7)
doi: 10.26083/tuprints-00016631
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 2: Experimental results and modelling
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-00016631
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

Subjects assessed their visual impressions about scene brightness, visual clarity, colour preference and scene preference in a real room in which the horizontal illuminance, the correlated colour temperature and the level of chroma enhancement of the light source were changed systematically. The aim of the experiment is to contribute to the development of a user preference model. The concept of this model and the experimental method were described in Part 1 of this work. In Part 2, modelling equations of these four visual attributes and their validation are shown. Criterion illuminance levels for ‘good’ levels of the visual attributes were determined depending on correlated colour temperature.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-166316
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 09:16
Last Modified: 23 May 2024 10:56
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/16631
PPN: 518480801
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