🤖 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.
📝 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.