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The Impact of Artificial Light Distribution and Surface Colour on Students’ Cognitive Functions and Perception
KTH, School of Architecture and the Built Environment (ABE), Architecture, Lighting Design.
2024 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Artificial lighting has been found to influence humans in a visual and non-visual, physiological and psychological manner. It affects task performance, learning behaviour and emotional state. Such relations, however, are primarily examined regarding colour temperature, illuminance, and spectral power distribution of the light, but not its spatial distribution. This thesis therefore investigates the impact of light distribution and surface colours on cognitive functions and perception in secondary school students. Participants are surveyed in a written examination environment with a neuropsychological screening test and a questionnaire. For the investigation, hexagonal classrooms with different accent colours, blue and yellow, and two different light distribution scenarios are chosen.   Results indicated that an altered, dynamic light distribution in a mock-up scenario led to an enhanced perception of pleasantness compared to the existing, uniform classroom lighting. However, ratings of emotional state showed less beneficial results in the mock-up lighting. Furthermore, no improvement of cognitive task performance in the mock-up lighting was found. Generally, yellow investigation environments were rated more pleasant and beneficial for alertness than blue ones.  Although this study generates several hypotheses, making generalisations about the contribution of light distribution and surface colour to effective learning environments beneficial for well-being and performance requires further investigation. 

Place, publisher, year, edition, pages
2024.
Series
TRITA-ABE-MBT-24285
Keywords [en]
Light Distribution, Classroom, Case Study, Surface Colours, Performance
National Category
Architecture
Identifiers
URN: urn:nbn:se:kth:diva-352635OAI: oai:DiVA.org:kth-352635DiVA, id: diva2:1894890
Educational program
Master of Science - Architectural Lighting Design
Supervisors
Examiners
Available from: 2024-09-04 Created: 2024-09-04 Last updated: 2025-02-24

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf