智能座舱车载香氛用户嗅觉感知偏好测试方法研究

A Test Method for Olfactory Perception Preferences of Intelligent Cockpit Vehicle Fragrance Users

为提升智能座舱车载香氛用户嗅觉体验的满意度,找出目标用户群体偏好的车载香氛品类,提出一种基于用户生理特征信号的车载香氛嗅觉感知偏好测试方法。搭建了车载香氛用户嗅觉测试试验环境,以嗅觉体验测试仪作为气味发生装置,以常用的车载香氛(薄荷、茉莉、甜橙)作为测评对象,招募了32名被试者进行香氛偏好测试试验,利用ErgoLAB多通道生理仪检测并记录在气味刺激下用户皮电、脉搏、呼吸的变化,并在ErgoLAB人机交互平台上进行初步的数据处理,利用语义差异量表采集用户的主观偏好数据,建立基于优劣解距离法的综合评估模型对客观数据进行分析,用斯皮尔曼相关系数进行相关分析检验。检验结果显示,客观生理数据综合得分和主观喜好得分呈显著的正相关,薄荷味的香氛最能令用户感到满意。

To improve the olfactory experience satisfaction of intelligent cockpit vehicle fragrance users,and to find out the preferred fragrance categories of target user groups,this paper proposes a method for assessing vehicle fragrance preferences based on users'physiological signals.An experimental setup was created to assess the olfactory preferences of vehicle fragrance users,utilizing a smell experience tester as the odor-generating device.Three commonly used vehicle fragrances,i.e.,mint,jasmine and orange,were selected as the test samples.Thirty-two participants were recruited for the test,and the changes in skin conductivity,pulse and respiration were measured and recorded by using the ErgoLAB multi-channel physiological monitoring system.After the initial data processing on the ErgoLAB human-computer interaction platform,users'subjective preference data were collected by using a semantic difference scale.A comprehensive evaluation model based on the Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS)was then established to analyze the objective data,and correlation analysis was conducted using Spearman's correlation coefficient to validate the findings.The results show a significant positive correlation between the comprehensive scores of objective physiological data and users'subjective preference ratings,with mint fragrance being the most satisfying to users.