Colour discrimination evaluation under multiple light sources using signal detection theory

Colour discrimination is a crucial research topic in lighting quality studies. Till now, various experimental methods have been widely adopted. Those methods based on the traditional colour-discrimination framework primarily focused on observers' ability to perceive discernible colour differences while neglecting the impact of noise and the corresponding possibility of false alarms. In this study, signal detection theory (SDT) was introduced to enhance the rationality of the experimental design and data analysis of the current methodology. The effects of various contextual factors on colour discrimination were systematically investigated under multiple light sources by three groups of psychophysical experiments. The results indicated that compared to traditional methods, the SDT framework largely incorporated previous findings and revealed new discoveries. Separating the colour discrimination process into sensory sensitivity and decision-making criteria provides a deeper explanation for the human colour discrimination performance under various experimental conditions. Additionally, by controlling the experimental set-ups, we demonstrated that the effect of lighting on observers' sensitivity and decision criterion could be manipulated. These findings provide strong evidence for the advantages of the SDT framework when investigating the colour discrimination process.

Authors

Institutions

Publication Details

Journal
Optics Express
Published
2025-03-17
DOI
https://doi.org/10.1364/oe.555495
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Colour discrimination evaluation under multiple light sources using signal detection theory

Yan-juan Liu, Julian Klabes, Tran Quoc Khanh, Xinyu Dong et al.
Optics Express
Infrared Target Detection Methodologies
article

Colour discrimination evaluation under multiple light sources using signal detection theory

Yan-juan Liu, Julian Klabes, Tran Quoc Khanh, Xinyu Dong, Hanwen Gong, Zhiyu Chen, Qiang Liu
article en

Abstract

Colour discrimination is a crucial research topic in lighting quality studies. Till now, various experimental methods have been widely adopted. Those methods based on the traditional colour-discrimination framework primarily focused on observers' ability to perceive discernible colour differences while neglecting the impact of noise and the corresponding possibility of false alarms. In this study, signal detection theory (SDT) was introduced to enhance the rationality of the experimental design and data analysis of the current methodology. The effects of various contextual factors on colour discrimination were systematically investigated under multiple light sources by three groups of psychophysical experiments. The results indicated that compared to traditional methods, the SDT framework largely incorporated previous findings and revealed new discoveries. Separating the colour discrimination process into sensory sensitivity and decision-making criteria provides a deeper explanation for the human colour discrimination performance under various experimental conditions. Additionally, by controlling the experimental set-ups, we demonstrated that the effect of lighting on observers' sensitivity and decision criterion could be manipulated. These findings provide strong evidence for the advantages of the SDT framework when investigating the colour discrimination process.

Optics ExpressVol. 33(7)
Technische Universität Darmstadt (DE)
Reduced inequalities
Openalex Percentile: Top 94%
Infrared Target Detection Methodologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.