Viscous textures: Velocity dependence in fingertip-surface scanning interaction

Daniel J. Brewer, David J. Meyer, Michael A. Peshkin, J. Edward Colgate

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We explore the impact of fingertip velocity and material properties on the lateral force interaction between a fingertip and a texture. Three sinusoidal gratings of varying compliance were scanned by a finger at a variety of speeds while lateral force and fingertip position were measured. Two robust trends were noted: one, for more compliant textures, the DC component of lateral force was larger, and it increased with scanning speed (i.e., it had a viscous component); two, for all textures, but especially the more compliant ones, the 1 /f background noise component of lateral force decreased with increased scanning speed. Focusing on the first of these trends, we used a TPad haptic device to implement virtual gratings with multiple levels of viscosity and DC friction, and we performed a multidimensional scaling analysis as well as comparisons to two of the physical gratings. The results demonstrate that both DC friction level and viscosity have significant perceptual consequences, but suggest that subjects may not be able to distinguish readily between friction and viscosity, at least at the levels implemented here.

Original languageEnglish (US)
Title of host publicationIEEE Haptics Symposium 2016, HAPTICS 2016 - Proceedings
EditorsSeungmoon Choi, Katherine J. Kuchenbecker, Greg Gerling
PublisherIEEE Computer Society
Pages265-270
Number of pages6
ISBN (Electronic)9781509009039
DOIs
StatePublished - Apr 29 2016
Event24th IEEE Haptics Symposium 2016, HAPTICS 2016 - Philadelphia, United States
Duration: Apr 8 2016Apr 11 2016

Publication series

NameIEEE Haptics Symposium, HAPTICS
Volume2016-April
ISSN (Print)2324-7347
ISSN (Electronic)2324-7355

Other

Other24th IEEE Haptics Symposium 2016, HAPTICS 2016
Country/TerritoryUnited States
CityPhiladelphia
Period4/8/164/11/16

Funding

This material is based upon work supported by the National Science Foundation under Grant No. IIS-1518602. The authors would like to thank Prof. Hong Z. Tan for providing the sinusoidal gratings from which casts were made, and to Prof. Roberta Klatzky for her advice on experimental design.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

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