The Effect of Global and Local Damping on the Perception of Hardness

Effects of Physical Hardness on the Perception of Rendered Stiffness in an Encountered-Type Haptic Display

Rendering stable hard surfaces is an important problem in haptics; current haptic devices cannot render hard objects and free space together. In our previous work, we addressed these limitations using an encountered-type haptic display system, which showed significant improvements compared to traditional rendering methods. In our approach, we attach a plate with the desired hardness to the kinesthetic device's end-effector, which the user interacts with using an untethered stylus. This method allows us to directly change the hardness of the end-effector based on the rendered object. In this paper, we evaluate how changing the hardness of the end-effector can mask the device's stiffness and affect the user's perception of the interaction. Our human subject experiment results indicate that when the end-effector is made of a hard material, it is difficult for users to perceive the stiffness change rendered by the device. On the other hand, this stiffness change is easily distinguished when the end-effector is made of a soft material. These results show promise for our combined hardness-stiffness display in avoiding the limitations of haptic devices when rendering hard surfaces.

Unilateral and Bilateral Virtual Springs: Contact Transitions Unmask Device Dynamics

The study of haptic perception often makes use of haptic rendering to display the variety of impedances needed to run an experiment. Unacknowledged in many cases is the influence of the selected device hardware on what the user will feel, particularly in interactions featuring frequencies above the control bandwidth. While human motion is generally limited to 10 Hz, virtual environments with unilateral constraints are subject to excitation of a wider frequency spectrum through contact transitions. We employ the effective impedance decomposition to discuss the effects of parasitics outside the rendering bandwidth. We also introduce an analysis of the admittance and impedance controllers with respect to sensitivity to load cell noise. We explore these effects using a single degree-of-freedom device that can be configured for either a low or high mechanical advantage in a perceptual experiment, with experimental conditions designed through application of the effective impedance decomposition. We find that the excitation of high frequencies through contact transitions negatively impacts humans' ability to distinguish between stiffnesses.

A recursive Bayesian updating model of haptic stiffness perception

Stiffness of many materials follows Hooke's Law, but the mechanism underlying the haptic perception of stiffness is not as simple as it seems in the physical definition. The present experiments support a model by which stiffness perception is adaptively updated during dynamic interaction. Participants actively explored virtual springs and estimated their stiffness relative to a reference. The stimuli were simulations of linear springs or nonlinear springs created by modulating a linear counterpart with low-amplitude, half-cycle (Experiment 1) or full-cycle (Experiment 2) sinusoidal force. Experiment 1 showed that subjective stiffness increased (decreased) as a linear spring was positively (negatively) modulated by a half-sinewave force. In Experiment 2, an opposite pattern was observed for full-sinewave modulations. Modeling showed that the results were best described by an adaptive process that sequentially and recursively updated an estimate of stiffness using the force and displacement information sampled over trajectory and time. (PsycINFO Database Record