The use of adaptive lighting systems, which target an individual’s psychophysiological state, presents an opportunity to enhance employee’s health while simultaneously decreasing energy consumption. Although current studies show a significant increase in knowledge about the non-visual effects of lighting on individuals, no models or control algorithms have been developed for practical applications that utilize information about the influence of lighting on human states. To address this problem, a preliminary model was developed using both objective and subjective measures to determine individual psychophysiological states. A methodology was established to implement this model in office settings with computers operating for a standard 8‑hour workday. The model was tested in an office setting containing eight workspaces. In the first stage, both control and experimental groups were utilized. In the second stage of the testing, one group of participants took part. The correlated colour temperature ranged from 2700 K to 6100 K, while horizontal illuminance varied from 275 lx to 1060 lx. Electrical lighting control algorithms have been developed using psychophysiological state data. After two stages of full-scale modelling, the model was modified for simplicity and practicality. The results of this research indicate that adaptive lighting technology effectively enhances an individual’s psychophysiological state.
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• non-visual lighting effects
• dynamic lighting
• intelligent building
• well-being
• psychophysiological state
• performance
• keyboard handwriting