Predicting the Effect of Surface Texture on the Qualitative Form of Prehension

Reach-to-grasp movements change quantitatively in a lawful (i.e. predictable) manner with changes in object properties. We explored whether altering object texture would produce qualitative changes in the form of the precontact movement patterns. Twelve participants reached to lift objects from a tabletop. Nine objects were produced, each with one of three grip surface textures (high-friction, medium-friction and low-friction) and one of three widths (50 mm, 70 mm and 90 mm). Each object was placed at three distances (100 mm, 300 mm and 500 mm), representing a total of 27 trial conditions. We observed two distinct movement patterns across all trials—participants either: (i) brought their arm to a stop, secured the object and lifted it from the tabletop; or (ii) grasped the object ‘on-the-fly’, so it was secured in the hand while the arm was moving. A majority of grasps were on-the-fly when the texture was high-friction and none when the object was low-friction, with medium-friction producing an intermediate proportion. Previous research has shown that the probability of on-the-fly behaviour is a function of grasp surface accuracy constraints. A finger friction rig was used to calculate the coefficients of friction for the objects and these calculations showed that the area available for a stable grasp (the ‘functional grasp surface size’) increased with surface friction coefficient. Thus, knowledge of functional grasp surface size is required to predict the probability of observing a given qualitative form of grasping in human prehensile behaviour.

[1]  R. Klatzky,et al.  Effects of Object Texture on Precontact Movement Time in Human Prehension. , 1994, Journal of motor behavior.

[2]  Andrew D. Wilson,et al.  The effect of distance on reaction time in aiming movements , 2007, Experimental Brain Research.

[3]  Mark Mon-Williams,et al.  The effect of orientation on prehension movement time , 2007, Experimental Brain Research.

[4]  S. Lehman The Neural and Behavioural Organization of Goal‐Directed Movements , 1990, Neurology.

[5]  Zoubin Ghahramani,et al.  Computational principles of movement neuroscience , 2000, Nature Neuroscience.

[6]  B Henson,et al.  A novel tactile sensation measurement system for qualifying touch perception , 2010, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[7]  C L MacKenzie,et al.  Is object texture a constraint on human prehension?: kinematic evidence. , 1991, Journal of motor behavior.

[8]  P. Fitts The information capacity of the human motor system in controlling the amplitude of movement. , 1954, Journal of experimental psychology.

[9]  Ronald S. Fearing,et al.  Simplified Grasping and Manipulation with Dextrous Robot Hands , 1984, 1984 American Control Conference.

[10]  R. Johansson,et al.  Factors influencing the force control during precision grip , 2004, Experimental Brain Research.

[11]  Eli Brenner,et al.  On the relation between object shape and grasping kinematics. , 2004, Journal of neurophysiology.

[12]  Geoffrey P. Bingham,et al.  Discovering affordances that determine the spatial structure of reach-to-grasp movements , 2011, Experimental Brain Research.

[13]  E. Brenner,et al.  Grasping trapezoidal objects , 2007, Experimental Brain Research.