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

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.5K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
2.5K
Distance Problem01:29

Distance Problem

112
When an object's velocity changes over time, the total distance traveled can be determined by summing small displacement intervals over short increments. This approach approximates the true distance through numerical summation and the use of integral calculus. An estimate of the total displacement can be obtained by measuring velocity at regular intervals and multiplying each value by the corresponding time step.If a runner accelerates over the first three seconds of a race, speed measurements...
112
Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

461
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
461
Distance Measurements by Taping01:18

Distance Measurements by Taping

557
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
557
Distance Corrections01:15

Distance Corrections

335
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
335
Causes of Similarity-Dissimilarity Effect01:26

Causes of Similarity-Dissimilarity Effect

307
The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
307

You might also read

Related Articles

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

Sort by
Same author

Degrees, Levels, and Profiles of Contextuality.

Entropy (Basel, Switzerland)·2026
Same author

Predicting the sound-induced flash illusion: A time-window-of-integration approach.

Psychological review·2025
Same author

Measuring Multisensory Integration in Reaction Time: Relative Entropy Approach.

Multisensory research·2025
Same author

Hidden variables, free choice, context-independence and all that.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2024
Same author

Quantum contextuality, causality and freedom of choice.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2024
Same author

Terms of debate: Consensus definitions to guide the scientific discourse on visual distraction.

Attention, perception & psychophysics·2024
Same journal

Testing linear hypotheses in repeated measures generalized linear models using external information.

Psychometrika·2026
Same journal

When Do Unifactorial Items Increase the Reliability?

Psychometrika·2026
Same journal

Longitudinal Designs for Diagnostic Models: Identification and Estimation.

Psychometrika·2026
Same journal

Modeling Rare Events and Nonmonotone Nonignorable Missingness of Time-Varying Outcomes and Predictors in Binary Time-Series Daily Diary Data: A Bayesian Selection Model.

Psychometrika·2026
Same journal

Revelle's Beta: The Wait Is Over-Computation Becomes Possible.

Psychometrika·2026
Same journal

On dimensional implication graphs.

Psychometrika·2026
See all related articles

Related Experiment Video

Updated: Mar 7, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.0K

Reconstructing Distances among Objects from Their Discriminability.

Ehtibar N Dzhafarov1,2, Hans Colonius3

  • 1Purdue University and Swedish Collegium for Advanced Studies in Social Sciences, USA. ehtibar@purdue.edu.

Psychometrika
|February 16, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method to create a dissimilarity metric for various stimuli based on discrimination probabilities. This approach, grounded in Regular Minimality, offers a flexible framework for analyzing perceptual systems.

Keywords:
Fechnerian Scaling of Discrete Object Sets (FSDOS)Multidimensional Fechnerian Scaling (MDFS)Nonconstant Self-DissimilarityRegular Minimalitycontinuous stimulus spacediscrete stimulus spacediscriminationpsychometric functionsame-different judgmentssubjective distance

More Related Videos

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

18.0K
Generating Strictly Controlled Stimuli for Figure Recognition Experiments
05:39

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Published on: March 18, 2019

5.6K

Related Experiment Videos

Last Updated: Mar 7, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.0K
Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

18.0K
Generating Strictly Controlled Stimuli for Figure Recognition Experiments
05:39

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Published on: March 18, 2019

5.6K

Area of Science:

  • Perception Science
  • Psychophysics
  • Information Theory

Background:

  • Quantifying perceptual dissimilarities is crucial for understanding how systems differentiate stimuli.
  • Existing methods often rely on restrictive assumptions about the relationship between discrimination and distance.

Purpose of the Study:

  • To develop a general and principled method for imposing a metric on discrete stimuli.
  • To establish a framework that accommodates various discrimination probability characteristics.

Main Methods:

  • Introduced the principle of Regular Minimality as the core requirement for discrimination.
  • Developed a procedure to derive a dissimilarity metric from observed discrimination probabilities.
  • Demonstrated applicability across diverse perceiving systems and stimulus types.

Main Results:

  • The proposed method does not require monotonic relationships between probabilities and distances.
  • It accommodates non-symmetric probabilities and allows for zero or one discrimination probabilities.
  • Regular Minimality provides a unifying principle for traditional analyses like Multidimensional Scaling and Cluster Analysis.

Conclusions:

  • A flexible and robust method for metric imposition on stimuli based on discrimination is presented.
  • The principle of Regular Minimality offers a generalized foundation for analyzing perceptual data.
  • This framework enhances the analysis of dissimilarity across various scientific domains.