Literature DB >> 17558923

Texture perception through direct and indirect touch: an analysis of perceptual space for tactile textures in two modes of exploration.

T Yoshioka1, S J Bensmaïa, J C Craig, S S Hsiao.   

Abstract

Considerable information about the texture of objects can be perceived remotely through a probe. It is not clear, however, how texture perception with a probe compares with texture perception with the bare finger. Here we investigate the perception of a variety of textured surfaces encountered daily (e.g., corduroy, paper, and rubber) using the two scanning modes - direct touch through the finger and indirect touch through a probe held in the hand - in two tasks. In the first task, subjects rated the overall pair-wise dissimilarity of the textures. In the second task, subjects rated each texture along three continua, namely, perceived roughness, hardness, and stickiness of the surfaces, shown previously as the primary dimensions of texture perception in direct touch. From the dissimilarity judgment experiment, we found that the texture percept is similar though not identical in the two scanning modes. From the adjective rating experiments, we found that while roughness ratings are similar, hardness and stickiness ratings tend to differ between scanning conditions. These differences between the two modes of scanning are apparent in perceptual space for tactile textures based on multidimensional scaling (MDS) analysis. Finally, we demonstrate that three physical quantities, vibratory power, compliance, and friction carry roughness, hardness, and stickiness information, predicting perceived dissimilarity of texture pairs with indirect touch. Given that different types of texture information are processed by separate groups of neurons across direct and indirect touch, we propose that the neural mechanisms underlying texture perception differ between scanning modes.

Entities:  

Mesh:

Year:  2007        PMID: 17558923      PMCID: PMC2635116          DOI: 10.1080/08990220701318163

Source DB:  PubMed          Journal:  Somatosens Mot Res        ISSN: 0899-0220            Impact factor:   1.111


  42 in total

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Journal:  J Neurosci       Date:  1997-10-01       Impact factor: 6.167

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Journal:  J Neurophysiol       Date:  1996-05       Impact factor: 2.714

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  34 in total

1.  Perceptual constancy of texture roughness in the tactile system.

Authors:  Takashi Yoshioka; James C Craig; Graham C Beck; Steven S Hsiao
Journal:  J Neurosci       Date:  2011-11-30       Impact factor: 6.167

2.  The tactile speed aftereffect depends on the speed of adapting motion across the skin rather than other spatiotemporal features.

Authors:  Sarah McIntyre; Tatjana Seizova-Cajic; Alex O Holcombe
Journal:  J Neurophysiol       Date:  2015-12-02       Impact factor: 2.714

3.  Effect of blocking tactile information from the fingertips on adaptation and execution of grip forces to friction at the grasping surface.

Authors:  Seda Bilaloglu; Ying Lu; Daniel Geller; John Ross Rizzo; Viswanath Aluru; Esther P Gardner; Preeti Raghavan
Journal:  J Neurophysiol       Date:  2015-12-09       Impact factor: 2.714

4.  Roughness of simulated surfaces examined with a haptic tool: effects of spatial period, friction, and resistance amplitude.

Authors:  Allan M Smith; Georges Basile; Jonathan Theriault-Groom; Pascal Fortier-Poisson; Gianni Campion; Vincent Hayward
Journal:  Exp Brain Res       Date:  2009-12-11       Impact factor: 1.972

Review 5.  Tactile intensity and population codes.

Authors:  Sliman J Bensmaia
Journal:  Behav Brain Res       Date:  2008-03-12       Impact factor: 3.332

6.  Kinematics of unconstrained tactile texture exploration.

Authors:  Thierri Callier; Hannes P Saal; Elizabeth C Davis-Berg; Sliman J Bensmaia
Journal:  J Neurophysiol       Date:  2015-03-04       Impact factor: 2.714

7.  Simulating tactile signals from the whole hand with millisecond precision.

Authors:  Hannes P Saal; Benoit P Delhaye; Brandon C Rayhaun; Sliman J Bensmaia
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-26       Impact factor: 11.205

8.  Millisecond precision spike timing shapes tactile perception.

Authors:  Emily L Mackevicius; Matthew D Best; Hannes P Saal; Sliman J Bensmaia
Journal:  J Neurosci       Date:  2012-10-31       Impact factor: 6.167

9.  Tactile perception of the roughness of 3D-printed textures.

Authors:  Chelsea Tymms; Denis Zorin; Esther P Gardner
Journal:  J Neurophysiol       Date:  2017-11-22       Impact factor: 2.714

10.  Factors Involved in Tactile Texture Perception through Probes.

Authors:  Takashi Yoshioka; Julia Zhou
Journal:  Adv Robot       Date:  2009       Impact factor: 1.699

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