Viscous textures: Velocity dependence in fingertip-surface scanning interaction

We explore the impact of fingertip velocity and material properties on the lateral force interaction between a fingertip and a texture. Three sinusoidal gratings of varying compliance were scanned by a finger at a variety of speeds while lateral force and fingertip position were measured. Two robust trends were noted: one, for more compliant textures, the DC component of lateral force was larger, and it increased with scanning speed (i.e., it had a viscous component); two, for all textures, but especially the more compliant ones, the 1 /f background noise component of lateral force decreased with increased scanning speed. Focusing on the first of these trends, we used a TPad haptic device to implement virtual gratings with multiple levels of viscosity and DC friction, and we performed a multidimensional scaling analysis as well as comparisons to two of the physical gratings. The results demonstrate that both DC friction level and viscosity have significant perceptual consequences, but suggest that subjects may not be able to distinguish readily between friction and viscosity, at least at the levels implemented here.

[1]  Max Mintz,et al.  Refined methods for creating realistic haptic virtual textures from tool-mediated contact acceleration data , 2012, 2012 IEEE Haptics Symposium (HAPTICS).

[2]  B. Lemaire-Semail,et al.  Squeeze film effect for the design of an ultrasonic tactile plate , 2007, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[3]  Vincent Hayward,et al.  On the 1/f noise and non-integer harmonic decay of the interaction of a finger sliding on flat and sinusoidal surfaces , 2011, 2011 IEEE World Haptics Conference.

[4]  Heather Culbertson,et al.  Generating haptic texture models from unconstrained tool-surface interactions , 2013, 2013 World Haptics Conference (WHC).

[5]  Michael J. Adams,et al.  Friction of the Human Finger Pad: Influence of Moisture, Occlusion and Velocity , 2011 .

[6]  Satoshi Tadokoro,et al.  Detectability and Perceptual Consequences of Delayed Feedback in a Vibrotactile Texture Display , 2009, IEEE Transactions on Haptics.

[7]  J. Edward Colgate,et al.  Modeling and synthesis of tactile texture with spatial spectrograms for display on variable friction surfaces , 2015, 2015 IEEE World Haptics Conference (WHC).

[8]  Hannes P. Saal,et al.  Natural scenes in tactile texture. , 2014, Journal of neurophysiology.

[9]  J. Edward Colgate,et al.  T-PaD: Tactile Pattern Display through Variable Friction Reduction , 2007, Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (WHC'07).

[10]  Vincent Hayward,et al.  The Spatial Spectrum of Tangential Skin Displacement Can Encode Tactual Texture , 2011, IEEE Transactions on Robotics.

[11]  Heather Culbertson,et al.  Modeling and Rendering Realistic Textures from Unconstrained Tool-Surface Interactions , 2014, IEEE Transactions on Haptics.

[12]  J. Edward Colgate,et al.  Dynamics of ultrasonic and electrostatic friction modulation for rendering texture on haptic surfaces , 2014, 2014 IEEE Haptics Symposium (HAPTICS).

[13]  A. Kappers,et al.  Analysis of haptic perception of materials by multidimensional scaling and physical measurements of roughness and compressibility. , 2006, Acta psychologica.

[14]  Vincent Hayward,et al.  Mechanical behavior of the fingertip in the range of frequencies and displacements relevant to touch. , 2012, Journal of biomechanics.

[15]  J. Edward Colgate,et al.  A High-Fidelity Surface-Haptic Device for Texture Rendering on Bare Finger , 2014, EuroHaptics.