Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Sound Intensity Level00:53

Sound Intensity Level

Humans perceive sound by hearing. The human ear helps sound waves reach the brain, which then interprets the waves and creates the perception of hearing. The loudness of the environment in which a person is located determines whether they can distinguish between different sound sources.
The human ear can perceive an extensive range of sound intensity, necessitating the use of the logarithmic scale to define a physical quantity—the intensity level. It is a ratio of two intensities and hence a...
Fineness Modulus01:19

Fineness Modulus

The fineness modulus (FM) of aggregate is a numerical index that measures the coarseness or fineness of the particles. It is calculated by adding the cumulative percentages of aggregate retained on each of a specified series of sieves and dividing the sum by 100.
Consider performing sieve analysis on sand through a set of ASTM sieves. The weight of aggregate retained in each sieve and pan placed at the bottom is recorded, as given in Column B of Table 1.
To determine the fineness modulus of...
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
Dynamic Modulus of Elasticity of Concrete01:16

Dynamic Modulus of Elasticity of Concrete

The dynamic modulus of elasticity assesses how a concrete structure deforms under impact or dynamic loads. It is typically higher than the static modulus of elasticity, measured under slow, steady loading conditions.
The sonic test is a common method to determine the dynamic modulus. In this test, a concrete beam, sized either 6 x 6 x 30 inches or 4 x 4 x 20 inches, is clamped at its center. Vibrations are initiated at one end of the beam by an electromagnetic exciter unit powered by a...
Ratio Level of Measurement00:54

Ratio Level of Measurement

The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated. For...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Water addition to e-liquids to reduce flavour aldehyde acetal formation: chemistry and user sensory experience and appeal.

Tobacco control·2026
Same author

Differences in "minty" flavor compound and synthetic cooling agent presence in US-marketed menthol-mint e-liquids and devices between 2019-2023.

Research square·2026
Same author

Unveiling interactions of spatial-temporal information in tactile motion perception.

Scientific reports·2025
Same author

The effect of "ice" components in sweet-flavored nicotine-containing e-liquids among young adult e-cigarette users.

Experimental and clinical psychopharmacology·2025
Same author

"Ice" flavor elements in E-cigarette images: Influence on liking and intention to use among youth who are at risk of E-cigarette use.

Drug and alcohol dependence·2025
Same author

Itch and Pain Behaviors in Irritant Contact Dermatitis Produced by Sodium Lauryl Sulfate in Mice.

International journal of molecular sciences·2024

Related Experiment Video

Updated: Jul 3, 2026

Quantitative Hardness Measurement by Instrumented AFM-indentation
08:21

Quantitative Hardness Measurement by Instrumented AFM-indentation

Published on: November 22, 2016

Magnitude estimation of softness.

Robert M Friedman1, Kim D Hester, Barry G Green

  • 1Department of Anesthesiology, Yale University School of Medicine, PO Box 208051, 333 Cedar Street, New Haven, CT 06520, USA. robert.friedman@vanderbilt.edu

Experimental Brain Research
|August 6, 2008
PubMed
Summary

Humans can accurately estimate silicone rubber softness using touch, even without direct skin contact. Softness perception relies on object deformation, with kinesthetic and vibratory cues also influencing judgment.

More Related Videos

Stiffness Measurement of Soft Silicone Substrates for Mechanobiology Studies Using a Widefield Fluorescence Microscope
07:02

Stiffness Measurement of Soft Silicone Substrates for Mechanobiology Studies Using a Widefield Fluorescence Microscope

Published on: July 3, 2018

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects
07:32

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

Published on: September 1, 2016

Related Experiment Videos

Last Updated: Jul 3, 2026

Quantitative Hardness Measurement by Instrumented AFM-indentation
08:21

Quantitative Hardness Measurement by Instrumented AFM-indentation

Published on: November 22, 2016

Stiffness Measurement of Soft Silicone Substrates for Mechanobiology Studies Using a Widefield Fluorescence Microscope
07:02

Stiffness Measurement of Soft Silicone Substrates for Mechanobiology Studies Using a Widefield Fluorescence Microscope

Published on: July 3, 2018

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects
07:32

Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

Published on: September 1, 2016

Area of Science:

  • Haptics
  • Human Perception
  • Material Science

Background:

  • Estimating material properties like softness is crucial for object interaction.
  • The human sensory system integrates multiple cues for accurate perception.

Purpose of the Study:

  • To investigate how humans perceive and scale the softness of silicone rubber under varying contact conditions.
  • To determine the relative importance of tactile and kinesthetic cues in softness perception.

Main Methods:

  • Participants actively indented silicone rubber disks or received passive indentations.
  • Contact modes included direct finger pad contact, passive stimulation, and tool-mediated indentation (stylus).
  • Tactile and kinesthetic cues were manipulated by altering the contact method.

Main Results:

  • Softness scaling was consistent across different contact modes, indicating robust perception.
  • Perception of softness was independent of peak force and force rate within tested ranges.
  • The mode of contact influenced the scaling function, with more cues leading to steeper slopes.
  • Objects were classified as soft if their compliance exceeded that of the human finger.

Conclusions:

  • Tactile information about object deformation is sufficient for magnitude scaling of softness.
  • Object conformity to the body influences softness classification.
  • Kinesthetic and vibratory cues are typically used, especially when direct skin contact is absent.