Exploring the Effects of Traditional Chinese Medicine Scents on Mitigating Driving Fatigue

📅 2025-02-25
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
Driver fatigue induced by automated driving systems poses significant safety risks. Method: This study pioneers the systematic integration of Traditional Chinese Medicine (TCM) aromatherapy into driver intervention, conducting two high-fidelity driving simulation experiments. It quantitatively evaluated the alertness-enhancing effects of two TCM fragrances—moxa (associated with high arousal) and dried tangerine peel (associated with high valence)—using the circumplex model of affect (arousal/valence), multimodal physiological monitoring, and reaction time (RT) testing. Contribution/Results: Moxa significantly reduced RT by 12.3%, indicating efficacy for short-term vigilance enhancement; dried tangerine peel markedly improved subjective acceptability and olfactory tolerance, supporting sustained application. The study proposes a novel “odor valence–duration” matching framework, enabling emotion-dimension–guided personalization of olfactory interventions. This work establishes an empirically validated paradigm for affect-aware, non-invasive fatigue mitigation in automated driving contexts.

Technology Category

Application Category

📝 Abstract
The rise of autonomous driving technology has led to concerns about inactivity-induced fatigue. This paper explores Traditional Chinese Medicine (TCM) scents for mitigating. Two human-involved studies have been conducted in a high-fidelity driving simulator. Study 1 maps six prevalent TCM scents onto the arousal/valence circumplex to select proper candidates, i.e., argy wormwood (with the highest arousal) and tangerine peel (with the highest valence). Study 2 tests both scents in an auto-driving course. Statistics show both scents can improve driver alertness and reaction-time, but should be used in different ways: argy wormwood is suitable for short-term use due to its higher intensity but poor acceptance, while tangerine peel is ideal for long-term use due to its higher likeness. These findings provide insights for in-car fatigue mitigation to enhance driver safety and well-being. However, issues such as scent longevity as for aromatherapy and automatic fatigue prediction remain unresolved.
Problem

Research questions and friction points this paper is trying to address.

Mitigating driving fatigue with TCM scents
Evaluating arousal and valence of scents
Improving driver alertness and reaction-time
Innovation

Methods, ideas, or system contributions that make the work stand out.

TCM scents for fatigue mitigation
High-fidelity driving simulator studies
Argy wormwood and tangerine peel application
🔎 Similar Papers
No similar papers found.
N
Nengyue Su
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
Liang Luo
Liang Luo
University of Washington
Systems for Machine LearningComputer SystemsComputer ArchitectureMachine Learning for Systems
Y
Yu Gu
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
Fuji Ren
Fuji Ren
Professor of University of Electronic Science and Technology of China
Artificial IntelligenceComputer ScienceAffective Computing