基于嗅觉刺激的驾驶员负向情绪正向调控方法研究

Research on The Olfactory Stimulation-Based Method for Positively Regulating Drivers’Negative Emotions

针对驾驶员在异常情绪下更容易导致交通事故发生的问题,研究一种用于智能座舱的驾驶员异常情绪正向调控方法。招募30名被试者进行试验,利用视频素材诱发驾驶员愤怒等负向情绪,利用E-prime软件控制的嗅觉体验测试仪释放薰衣草、甜橙、沉香木气味对驾驶员负向情绪进行正向调节,采用ErgoLab多通道生理仪检测记录在气味刺激下被试者的心电信号(ECG)、光电容积脉搏波信号(PPG)、呼吸信号(RESP)等生理特征信号;采用问卷调查获取被试者的主观感受;使用面部表情识别软件对驾驶员情绪进行分析,联合主客观数据分析驾驶员的情绪调节效果,通过30组对照试验研究3种嗅觉刺激气体对负向情绪的调节效果,结果表明,沉香木调节效果最好,甜橙其次,薰衣草最差。

To address the issue that drivers are more likely to cause traffic accidents under abnormal emotions,a method for positive regulation of drivers'abnormal emotions in intelligent cockpits was studied.Thirty subjects were recruited for the experiment,and the video materials were used to induce drivers'negative emotions such as anger.An olfactory experience tester,controlled by E-Prime software,released scents like lavender,sweet orange and agarwood to positively regulate the drivers'negative emotions.The ErgoLab multichannel physiological instrument was utilized to detect and record the subjects'physiological signals under olfactory stimulation,including electrocardiogram(ECG),photoelectric volume pulse wave(PPG)and respiratory signal(RESP).Questionnaires were used to obtain the subjective feelings of the subjects.Facial expression recognition software was employed to analyze driver's emotions.And a combined analysis of subjective and objective data was performed to evaluate the emotion regulation effects on drivers.Through a comparative study involving 30 groups,the effects of three olfactory stimulants(lavender,sweet orange and agarwood)on negative emotions were examined.The results show that agarwood has the best regulating effect,followed by sweet orange and lavender is the least effective.