Exploring the Effects of Traditional Chinese Medicine Scents on Mitigating Driving Fatigue
Nengyue Su, Liang Luo, Yu Gu, Fuji Ren
TL;DR
The paper tackles driving fatigue in autonomous driving contexts by evaluating Traditional Chinese Medicine scents in two driving-simulator studies. Study 1 maps six TCM scents to the arousal–valence circumplex to identify argy wormwood (high arousal) and tangerine peel (high valence) for testing in Study 2, which shows both scents improve alertness and reaction time, with distinct short-term vs. long-term usage profiles. The results demonstrate that TCM scents can mitigate fatigue and improve driving performance, though scent longevity and acceptance differ by scent, prompting ideas for AI-assisted, personalized scent-regulation in cars. These insights could guide the development of in-car fatigue-regulation designs that leverage culturally resonant olfactory cues while acknowledging practical limitations.
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.
