Haptic discrimination of stimuli varying in amplitude and width

We studied active haptic discrimination of the geometrical features of an object. The geometrical parameters under investigation were the amplitude and width of a gaussian-shaped surface. Haptic discrimination thresholds were measured with regard to three values of these geometrical parameters. We found that humans discriminate up to about 300 shapes when both amplitude and width are extrapolated to the range between 1 μm and 1 m. Over this range, which covers the span of the arms, the number of discriminations is small compared to the number across the full range of chromaticities in vision. Roughly speaking, humans are far better at discriminating sharp (extensive amplitude and little width) gaussian surfaces from smooth (small amplitude and extensive width) ones than they are at discriminating small (small amplitude and width) surfaces from large (extensive amplitude and width) ones. Our main conclusion is that discrimination in the geometrical domain is poorest when the proportion between amplitude and width is roughly the same for both shapes. Our results are in close agreement with results of earlier experiments on detection thresholds. This indicates that similar, or even the same, neural mechanisms were used for detection and discrimination of the geometrical parameters under investigation.

[1]  R. Johansson,et al.  Tactile detection thresholds for a single asperity on an otherwise smooth surface. , 1983, Somatosensory research.

[2]  J. J. Koenderink,et al.  Haptic detection thresholds of Gaussian profiles over the whole range of spatial scales , 2000, Experimental Brain Research.

[3]  P W Davidson,et al.  Haptic judgments of curvature by blind and sighted humans. , 1972, Journal of experimental psychology.

[4]  N. Perrin,et al.  Varieties of perceptual independence. , 1986, Psychological review.

[5]  I. Gordon,et al.  The haptic perception of curvature , 1982, Perception & psychophysics.

[6]  Harry L. Van Trees,et al.  Detection, Estimation, and Modulation Theory, Part I , 1968 .

[7]  J Hyvärinen,et al.  Movement‐sensitive and direction and orientation‐selective cutaneous receptive fields in the hand area of the post‐central gyrus in monkeys. , 1978, The Journal of physiology.

[8]  F. A. Seiler,et al.  Numerical Recipes in C: The Art of Scientific Computing , 1989 .

[9]  A. Goodwin,et al.  Tactile discrimination of curvature by humans using only cutaneous information from the fingerpads , 2004, Experimental Brain Research.

[10]  D. L. Macadam Visual Sensitivities to Color Differences in Daylight , 1942 .

[11]  Jan J. Koenderink,et al.  Similar mechanisms underlie curvature comparison by static and dynamic touch , 1999, Perception & psychophysics.

[12]  F. J. Clark,et al.  Signaling of kinesthetic information by peripheral sensory receptors. , 1982, Annual review of neuroscience.

[13]  E. H. Linfoot Principles of Optics , 1961 .