Non-visual effects of CCT and illuminance and driving task on driver's mood: evidence from an EEG study

Chen Pan; Jinchun Wu; Zelei Pan; Quan Chen; Chengqi Xue

doi:10.1117/12.2689919

7 September 2023 Non-visual effects of CCT and illuminance and driving task on driver's mood: evidence from an EEG study

Chen Pan, Jinchun Wu, Zelei Pan, Quan Chen, Chengqi Xue

Author Affiliations +

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127905H (2023) https://doi.org/10.1117/12.2689919
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

At present, the influence mechanism of road environment on drivers' mood remains unclear. In this paper, electroencephalogram (EEG) and other measurement methods were used to record the physiological and psychological indexes of driving under different correlated colour temperature (CCT) levels (3000k vs. 4000k vs. 5000k) and different brightness levels (20lx vs.30lx). The objective is to verify the effect of road lighting environment on drivers' mood. The results show that the interaction between CCT and illumination and driving task is significant. At 3000k, the drivers' emotional experience is the worst, while 4000k and 20lx are the best for drivers to maintain a good emotional state. However, increased lighting at 4000k and 5000k seemed more likely to cause negative mood in drivers.

Citation Download Citation

Chen Pan, Jinchun Wu, Zelei Pan, Quan Chen, and Chengqi Xue "Non-visual effects of CCT and illuminance and driving task on driver's mood: evidence from an EEG study", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127905H (7 September 2023); https://doi.org/10.1117/12.2689919

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KEYWORDS

Light sources and illumination

Roads

Electroencephalography

Emotion

Light sources

Safety

Visualization

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