scholarly journals Roughness perception of unfamiliar dot pattern textures

2013 ◽  
Vol 143 (1) ◽  
pp. 20-34 ◽  
Author(s):  
Judith Eck ◽  
Amanda L. Kaas ◽  
Joost L.J. Mulders ◽  
Rainer Goebel
Keyword(s):  
Roughness Perception

Attention in Two-Finger Roughness Perception

2008 ◽  
Author(s):  
Roberta D. Roberts ◽  
Glyn W. Humphreys
Keyword(s):  
Roughness Perception

scholarly journals Human roughness perception and possible factors effecting roughness sensation

2017 ◽  
Vol 48 (3) ◽  
pp. 181-192 ◽  
Author(s):  
Tugba Aktar ◽  
Jianshe Chen ◽  
Rammile Ettelaie ◽  
Melvin Holmes ◽  
Brian Henson
Keyword(s):  
Roughness Perception

Effect of Median Frequency Levels upon the Roughness of Jittered Stimuli

1969 ◽  
Vol 12 (2) ◽  
pp. 330-336 ◽  
Author(s):  
Robert F. Coleman
Keyword(s):  
Magnitude Estimation ◽  
Rating Scale ◽  
Paired Comparisons ◽  
Median Frequency ◽  
Estimation Techniques ◽  
The Relationship ◽  
Roughness Perception

This study investigated the relationship between median frequency levels and roughness perception for jittered stimuli. Five median frequency levels were combined with four jitter excursions to form stimuli which were submitted to 32 listeners, who judged roughness by paired comparisons, rating scale, and magnitude estimation techniques. The results showed the same trends in each of the procedures. Stimuli of lower median frequency were judged to be rougher than those of higher median frequency, for all jitter conditions. The conclusion is that the median frequency levels of jittered wavetrains do affect the perception of roughness in analog stimuli. Whether the same relationship holds for human rough voices must be experimentally verified.

Selective effects of auditory stimuli on tactile roughness perception

2008 ◽  
Vol 1242 ◽  
pp. 87-94 ◽  
Author(s):  
Yuika Suzuki ◽  
Jiro Gyoba ◽  
Shuichi Sakamoto
Keyword(s):  
Auditory Stimuli ◽  
Tactile Roughness ◽  
Roughness Perception ◽  
Selective Effects

scholarly journals Roughness perception in haptic virtual reality for sighted and blind people

2007 ◽  
Vol 69 (4) ◽  
pp. 502-512 ◽  
Author(s):  
Diana Kornbrot ◽  
Paul Penn ◽  
Helen Petrie ◽  
Stephen Furner ◽  
Andrew Hardwick
Keyword(s):  
Virtual Reality ◽  
Blind People ◽  
Roughness Perception

scholarly journals Tactile Roughness Perception of Virtual Gratings by Electrovibration

2020 ◽  
Vol 13 (3) ◽  
pp. 562-570 ◽  
Author(s):  
Aykut Isleyen ◽  
Yasemin Vardar ◽  
Cagatay Basdogan
Keyword(s):  
Tactile Roughness ◽  
Roughness Perception

scholarly journals Visual motion information modulates tactile roughness perception

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yosuke Suzuishi ◽  
Souta Hidaka ◽  
Scinob Kuroki
Keyword(s):  
Visual Motion ◽  
Motion Information ◽  
Tactile Roughness ◽  
Roughness Perception

scholarly journals Tactile perception of the roughness of 3D-printed textures

2018 ◽  
Vol 119 (3) ◽  
pp. 862-876 ◽  
Author(s):  
Chelsea Tymms ◽  
Denis Zorin ◽  
Esther P. Gardner
Keyword(s):  
Surface Roughness ◽  
High Resolution ◽  
3D Printing ◽  
Human Subjects ◽  
Three Dimensional ◽  
Weber Fraction ◽  
Parametric Modeling ◽  
Surface Geometry ◽  
Surface Parameters ◽  
Roughness Perception

Surface roughness is one of the most important qualities in haptic perception. Roughness is a major identifier for judgments of material composition, comfort, and friction and is tied closely to manual dexterity. Some attention has been given to the study of roughness perception in the past, but it has typically focused on noncontrollable natural materials or on a narrow range of artificial materials. The advent of high-resolution three-dimensional (3D) printing technology provides the ability to fabricate arbitrary 3D textures with precise surface geometry to be used in tactile studies. We used parametric modeling and 3D printing to manufacture a set of textured plates with defined element spacing, shape, and arrangement. Using active touch and two-alternative forced-choice protocols, we investigated the contributions of these surface parameters to roughness perception in human subjects. Results indicate that large spatial periods produce higher estimations of roughness (with Weber fraction = 0.19), small texture elements are perceived as rougher than large texture elements of the same wavelength, perceptual differences exist between textures with the same spacing but different arrangements, and roughness equivalencies exist between textures differing along different parameters. We posit that papillary ridges serve as tactile processing units, and neural ensembles encode the spatial profiles of the texture contact area to produce roughness estimates. The stimuli and the manufacturing process may be used in further studies of tactile roughness perception and in related neurophysiological applications. NEW & NOTEWORTHY Surface roughness is an integral quality of texture perception. We manufactured textures using high-resolution 3D printing, which allows precise specification of the surface spatial topography. In human psychophysical experiments we investigated the contributions of specific surface parameters to roughness perception. We found that textures with large spatial periods, small texture elements, and irregular, isotropic arrangements elicit the highest estimations of roughness. We propose that roughness correlates inversely with the total contacted surface area.

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