Gerling Gregory J, Hauser Steven C, Soltis Bryan R, Bowen Alexis K, Fanta Kathryn D, Wang Yuxiang
IEEE Trans Haptics. 2018 Oct-Dec;11(4):498-508. doi: 10.1109/TOH.2018.2825396. Epub 2018 Apr 10.
Understanding how we perceive differences in material compliance, or 'softness,' is a central topic in the field of haptics. The intrinsic elasticity of an object is the primary factor thought to influence our perceptual estimates. Therefore, most studies test and report the elasticity of their stimuli, typically as stiffness or modulus. However, many reported estimates are of very high magnitude for silicone-elastomers, which may be due to artifacts in characterization technique. This makes it very difficult to compare the perceptual results between the studies. The work herein defines a standardized and easy-to-implement way to characterize test stimuli. The procedure involves the unconstrained, uniaxial compression of a plate into cylindrical substrates 10 mm tall by 10 mm diameter. The resultant force-displacement data are straightforwardly converted into stress-strain data, from which a modulus is readily derived. This procedure was used to re-characterize stimuli from prior studies. The revised results from the validated method herein are 200-1,100 percent lower than modulus values either reported and/or approximated from stiffness. This is practically significant when differences of 10-15 percent are perceptually discriminable. The re-characterized estimates are useful in comparing prior studies and designing new studies. Furthermore, this characterization methodology may help more readily bridge studies on perception with those designing technology.
理解我们如何感知材料顺应性(即“柔软度”)方面的差异,是触觉领域的一个核心主题。物体的固有弹性被认为是影响我们感知估计的主要因素。因此,大多数研究测试并报告其刺激物的弹性,通常以刚度或模量来表示。然而,许多报告的硅橡胶弹性体估计值非常高,这可能是由于表征技术中的假象所致。这使得很难比较不同研究之间的感知结果。本文的工作定义了一种标准化且易于实施的方法来表征测试刺激物。该程序包括将一块平板无约束地单轴压缩到直径10毫米、高10毫米的圆柱形基底中。由此产生的力-位移数据可以直接转换为应力-应变数据,从中很容易得出模量。该程序被用于重新表征先前研究中的刺激物。本文经过验证的方法得出的修正结果比从刚度报告和/或估算的模量值低200%-1100%。当感知上可分辨的差异为10%-15%时,这在实际中具有重要意义。重新表征的估计值有助于比较先前的研究并设计新的研究。此外,这种表征方法可能有助于更轻松地将感知研究与技术设计研究联系起来。