Toward adaptation-aware optimization of tunable multi-LED lighting: modeling illuminance-dependent hue-bin preference...

Area of Science:

• Perceptual science
• Color science
• Lighting technology

Background:

• Adaptive spectral tuning in solid-state lighting necessitates models of color preference that incorporate visual adaptation.
• Understanding how adaptation illuminance influences color perception is crucial for developing perceptually grounded lighting systems.

Purpose of the Study:

• To quantify the impact of adaptation illuminance on preferred local chroma and hue shifts across different color bins (red, yellow, green, blue).
• To develop adaptation-aware models of color preference for optimizing lighting systems.

Main Methods:

• Utilized ecologically valid multi-object stimuli and a dual-lighting design for independent control of object appearance and adaptation illuminance.
• Collected pooled observer ratings from 51 participants.
• Modeled preference distributions using bin-wise bivariate Gaussian functions in local chroma-hue shift space.

Main Results:

• Demonstrated a consistent logarithmic decrease in preferred chroma shift as illuminance increased.
• Observed varying hue-shift trends across different color bins.
• Noted decreasing tolerance regions for color preference at higher illuminance levels.
• Found that preferred chroma levels are higher under typical indoor conditions compared to previous studies.

Conclusions:

• The findings provide adaptation-aware, bin-wise mappings for color preference.
• These results are suitable for predictive preference metrics and the optimization of adaptive lighting systems.
• The study suggests a less steep decline in preferred chroma with increasing illuminance than previously reported.