In vibrotactile design, it can be beneficial to communicate with potential users about the desired properties of a product. However, such users' expectations would need to be translated into physical vibration parameters. In everyday life, humans are frequently exposed to seat vibration. Humans have learned to intuitively associate specific labels (e.g., "tingling") with specific vibrations. Thus, the aim of this paper is to identify the most common sensory-perceptual attributes and their relationships to vibration parameters. First, we generalized everyday-life seat vibration into sinusoidal, amplitude-modulated sinusoidal, white Gaussian noise and impulse-like vibrations. Subsequently, the (peak) level, (center/carrier) frequency, bandwidth, modulation frequency and exponential decay rate parameters of these vibrations were systematically varied depending on the signal type. A free association task was conducted to reveal the most common sensory-perceptual attributes for each vibration. After aggregating similar attributes, the 21 most frequently occurring attributes were utilized in a second experiment to rate their suitability for describing each vibration stimulus. Principal component analysis guided the selection of six attribute groups, which can be represented by "up and down," "tingling," "weak," "repetitive," "uniform" and "fading." The observed relationships between vibration parameters and attribute ratings are suitable for future model building.

中文翻译：

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为以用户为中心的直观触觉设计绘制振动的感官感知空间

在振动触觉设计中，与潜在用户就产品的所需属性进行交流是有益的。然而，这些用户的期望需要转化为物理振动参数。在日常生活中，人们经常会受到座椅振动的影响。人类已经学会直观地将特定标签（例如，“刺痛”）与特定振动相关联。因此，本文的目的是确定最常见的感官知觉属性及其与振动参数的关系。首先，我们将日常生活中的座椅振动概括为正弦、调幅正弦、高斯白噪声和类脉冲振动。随后，（峰值）电平、（中心/载波）频率、带宽、这些振动的调制频率和指数衰减率参数根据信号类型系统地变化。进行自由联想任务以揭示每个振动最常见的感官感知属性。汇总相似的属性后，在第二个实验中使用 21 个最常出现的属性来评估它们对描述每个振动刺激的适用性。主成分分析指导了六个属性组的选择，可以用“上下”、“刺痛”、“弱”、“重复”、“均匀”和“褪色”来表示。观察到的振动参数和属性评级之间的关系适用于未来的模型构建。进行自由联想任务以揭示每个振动最常见的感官感知属性。汇总相似的属性后，在第二个实验中使用 21 个最常出现的属性来评估它们对描述每个振动刺激的适用性。主成分分析指导了六个属性组的选择，可以用“上下”、“刺痛”、“弱”、“重复”、“均匀”和“褪色”来表示。观察到的振动参数和属性评级之间的关系适用于未来的模型构建。进行自由联想任务以揭示每个振动最常见的感官感知属性。汇总相似的属性后，在第二个实验中使用 21 个最常出现的属性来评估它们对描述每个振动刺激的适用性。主成分分析指导了六个属性组的选择，可以用“上下”、“刺痛”、“弱”、“重复”、“均匀”和“褪色”来表示。观察到的振动参数和属性评级之间的关系适用于未来的模型构建。在第二个实验中使用了 21 个最常出现的属性来评估它们描述每个振动刺激的适用性。主成分分析指导了六个属性组的选择，可以用“上下”、“刺痛”、“弱”、“重复”、“均匀”和“褪色”来表示。观察到的振动参数和属性评级之间的关系适用于未来的模型构建。在第二个实验中使用了 21 个最常出现的属性来评价它们描述每个振动刺激的适用性。主成分分析指导了六个属性组的选择，可以用“上下”、“刺痛”、“弱”、“重复”、“均匀”和“褪色”来表示。观察到的振动参数和属性评级之间的关系适用于未来的模型构建。