Driver emotion regulation via ambient lighting and music: An EEG-based ergonomic evaluation for intelligent cockpit

Effective regulation of drivers’ negative emotions is crucial for traffic safety, particularly in intelligent vehicles increasingly rely on multimodal human-machine interactions. This study integrates neuroergonomics and automotive engineering perspectives to investigate the neural mechanisms through which sensory modulation supports emotional recovery during driving, and to determine whether combined auditory-visual cues produce synergistic benefits beyond unimodal effects. Twenty participants were exposed to aversive audiovisual stimuli followed by simulated driving, during which EEG features (energy, differential entropy, and asymmetric entropy), behavioral indicators, and subjective ratings were obtained. Source-level analysis focused on the dorsolateral prefrontal cortex (dlPFC), one of the regions central to autonomic and affective regulation. Results within this participants group indicated that multisensory stimulation improved emotional and functional recovery, with EEG activity showing tighter coupling with driving performance than with subjective reports, suggesting neural responses may provide more direct markers of safety-relevant restoration. Fast-tempo music paired with green lighting elicited a clear synergistic effect under the tested conditions, whereas its combination with yellow lighting yielded only additive improvements. These findings advance neuroergonomic understanding of how multisensory cues modulate affective and cognitive states during driving and offer preliminary guidance for developing adaptive, emotion-aware cockpit systems aimed at improving driver safety and well-being.

Authors

Institutions

Publication Details

Journal
Alexandria Engineering Journal
Published
2026-02-01
DOI
https://doi.org/10.1016/j.aej.2026.02.001
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Driver emotion regulation via ambient lighting and music: An EEG-based ergonomic evaluation for intelligent cockpit

Xianhui Wu, Meng Zheng, Yong Peng, Chaojie Fan et al.
Alexandria Engineering Journal
Sleep and Work-Related Fatigue
article

Driver emotion regulation via ambient lighting and music: An EEG-based ergonomic evaluation for intelligent cockpit

Xianhui Wu, Meng Zheng, Yong Peng, Chaojie Fan, Ziteng Zhang, Zhuoxi Jiang, Chenxi Li
article en

Abstract

Effective regulation of drivers’ negative emotions is crucial for traffic safety, particularly in intelligent vehicles increasingly rely on multimodal human-machine interactions. This study integrates neuroergonomics and automotive engineering perspectives to investigate the neural mechanisms through which sensory modulation supports emotional recovery during driving, and to determine whether combined auditory-visual cues produce synergistic benefits beyond unimodal effects. Twenty participants were exposed to aversive audiovisual stimuli followed by simulated driving, during which EEG features (energy, differential entropy, and asymmetric entropy), behavioral indicators, and subjective ratings were obtained. Source-level analysis focused on the dorsolateral prefrontal cortex (dlPFC), one of the regions central to autonomic and affective regulation. Results within this participants group indicated that multisensory stimulation improved emotional and functional recovery, with EEG activity showing tighter coupling with driving performance than with subjective reports, suggesting neural responses may provide more direct markers of safety-relevant restoration. Fast-tempo music paired with green lighting elicited a clear synergistic effect under the tested conditions, whereas its combination with yellow lighting yielded only additive improvements. These findings advance neuroergonomic understanding of how multisensory cues modulate affective and cognitive states during driving and offer preliminary guidance for developing adaptive, emotion-aware cockpit systems aimed at improving driver safety and well-being.

Alexandria Engineering JournalVol. 138
Central South University (CN), Ministry of Transport (CN), Changsha University of Science and Technology (CN)
Openalex Percentile: Top 65%
Sleep and Work-Related Fatigue
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.

Driver emotion regulation via ambient lighting and music: An EEG-based ergonomic evaluation for intelligent cockpit — Xianhui Wu, Meng Zheng, et al. · Alexandria Engineering Journal (2026) | TGRS Research Map | TGRS