Derkaloustian Maryanne, Bhattacharyya Pushpita, Ngo Truc, Cashaback Joshua G A, Medina Jared, Dhong Charles B
bioRxiv. 2025 May 22:2024.10.25.620351. doi: 10.1101/2024.10.25.620351.
Fine touch perception is often correlated to material properties and friction coefficients, but the inherent variability of human motion has led to low correlations and contradictory findings. Instead, we hypothesized that humans use frictional instabilities to discriminate between objects. Here, we constructed a set of coated surfaces with minimal physical differences, but due to differences in surface chemistry, generated different types of instabilities depending on how quickly a finger is slid and pressed during sliding. In one experiment, we used a mechanical mock finger to quantify and classify differences in instability formation from different coated surfaces. In a second experiment, participants perform a discrimination task using the same coated surfaces. Using the data from these two experiments, we found that human discrimination response times were faster with surfaces where the mock finger produced more stiction spikes and discrimination accuracy was higher where the mock finger produced more steady sliding. Conversely, traditional metrics like surface roughness or average friction coefficient did not relate to tactile discriminability. In fact, the typical method of averaging friction coefficients led to a spurious correlation which erroneously suggests that distinct objects should feel identical and identical objects should feel distinct-similar to findings by others. Friction instabilities may offer a more predictive and tractable framework of fine touch perception than friction coefficients, which would accelerate the design of tactile interfaces.
精细触觉感知通常与材料特性和摩擦系数相关,但人类运动的固有变异性导致相关性较低且研究结果相互矛盾。相反,我们假设人类利用摩擦不稳定性来区分物体。在此,我们构建了一组物理差异极小的涂层表面,但由于表面化学性质的差异,根据手指在滑动过程中滑动和按压的速度不同,会产生不同类型的不稳定性。在一项实验中,我们使用一个机械模拟手指来量化和分类不同涂层表面在不稳定性形成方面的差异。在第二项实验中,参与者使用相同的涂层表面执行辨别任务。利用这两项实验的数据,我们发现,对于模拟手指产生更多静摩擦尖峰的表面,人类的辨别反应时间更快;而对于模拟手指产生更稳定滑动的表面,辨别准确率更高。相反,诸如表面粗糙度或平均摩擦系数等传统指标与触觉辨别能力无关。事实上,平均摩擦系数的典型方法导致了一种虚假的相关性,错误地表明不同的物体应该感觉相同,而相同的物体应该感觉不同——这与其他人的研究结果类似。与摩擦系数相比,摩擦不稳定性可能为精细触觉感知提供一个更具预测性和易处理性的框架,这将加速触觉界面的设计。