Advertisement

Contact Force and Duration Effects on Static and Dynamic Tactile Texture Discrimination

  • Hoi Fei Kwok
  • Kerry Darkins
  • Calogero M. Oddo
  • Lucia Beccai
  • Alan M. Wing
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6192)

Abstract

Tactile roughness magnitude estimates increase with contact force. However, it is not known whether discrimination thresholds are affected by contact force and other parameters, such as duration and tangential movement. The effects of these factors on roughness discrimination thresholds were determined using an adaptive staircase procedure for coarse and fine texture discrimination during active touch. The presence of tangential movement (dynamic touch) significantly reduced thresholds in coarse and fine texture discrimination compared to static touch, with effects more marked with fine textures. Contact force did not affect discrimination except in static touch of coarse texture when the threshold was significantly higher with low force. Within the perspective that texture discrimination involves distinct vibratory and spatial mechanisms, the results suggest that spatial-dependent texture discrimination deteriorates when contact force is reduced whereas vibration-dependent texture discrimination is unaffected by contact force. Texture discrimination was independent of contact duration in the range 1.36s to 3.46s, suggesting that tactile integration processes are completed relatively quickly.

Keywords

Tactile discrimination roughness contact force 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Lederman, S.J., Taylor, M.M.: Fingertip force, surface geometry and the perception of roughness by active touch. Perception and Psychophysics 12, 401–408 (1972)CrossRefGoogle Scholar
  2. 2.
    Lamb, G.D.: Tactile discrimination of textured surfaces: peripheral neural coding in the monkey. J. Physiol. 338, 567–587 (1983)CrossRefGoogle Scholar
  3. 3.
    Sathian, K., Zangaladze, A., Green, J., Vitek, J.L., DeLong, M.R.: Tactile spatial acuity and roughness discrimination: impairments due to aging and Parkinson’s disease. Neurology 49, 168–177 (1997)CrossRefGoogle Scholar
  4. 4.
    Tremblay, F., Mireault, A., LeTourneau, J., Pierrat, A., Bourrassa, S.: Tactile perception and manual dexterity in computer users. Somatosensory and Motor Research 19, 101–108 (2002)CrossRefGoogle Scholar
  5. 5.
    Morley, J.W., Goodwin, A.W., Darian-Smith, I.: Tactile discrimination of gratings. Experimental Brain Research 49, 291–299 (1983)CrossRefGoogle Scholar
  6. 6.
    Nefs, H.T., Kappers, A.M.L., Koenderink, J.J.: Frequency discrimination between and within line gratings by dynamic touch. Perception and Psychophysics 64, 969–980 (2002)CrossRefGoogle Scholar
  7. 7.
    Blake, D.T., Hsiao, S.S., Johnson, K.O.: Neural coding mechanisms in tactile pattern recognition: the relative contributions of slowly and rapidly adapting mechanoreceptors to perceived roughness. J. Neuroscience 17, 7480–7489 (1997)Google Scholar
  8. 8.
    Yoshioka, T., Gibb, B., Dorsch, A.K., Hsiao, S.S., Johnson, K.O.: Neural coding mechanisms underlying perceive roughness of finely textured surfaces. J. Neuroscience 21(17), 6905–6916 (2001)Google Scholar
  9. 9.
    Johnson, K.O.: The roles and functions of cutaneous mechanoreceptors. Current Opinion in Neurobiology 11, 455–461 (2001)CrossRefGoogle Scholar
  10. 10.
    Meftah, E.M., Belingard, L., Chapman, C.E.: Relative effects of the spatial and temporal characteristics of scanned surfaces on human perception of tactile roughness using passive touch. Experimental Brain Research 132, 351–361 (2000)CrossRefGoogle Scholar
  11. 11.
    Hollins, M., Risner, S.R.: Evidence for the duplex theory of tactile texture perception. Perception and Psychophysics 62, 695–705 (2000)CrossRefGoogle Scholar
  12. 12.
    Katz, D.: The world of touch (L.E. Krueger, trans.). Erlbaum, Hillsdale (original work published 1925) (1989)Google Scholar
  13. 13.
    Zwislocki, J.J., Relkin, E.M.: On a psychophysical transformed-rule up and down method converging on a 75% level of correct responses. Proc. Nat. Acad. Sci. 98, 4811–4814 (2001)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Hoi Fei Kwok
    • 1
  • Kerry Darkins
    • 1
  • Calogero M. Oddo
    • 2
  • Lucia Beccai
    • 3
  • Alan M. Wing
    • 1
  1. 1.Sensory and Motor Neuroscience, School of PsychologyUniversity of BirminghamEdgbaston, BirminghamUnited Kingdom
  2. 2.Advanced Robotics Technology and Systems Laboratory, Polo Sant’Anna ValderaPontedera, PisaItaly
  3. 3.Center for Micro-BioRobotics, Italian Institute of TechnologyPontedera, PisaItaly

Personalised recommendations