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Related Concept Videos

Force Classification01:22

Force Classification

Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Classification of Systems-II01:31

Classification of Systems-II

Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
Classification of Systems-I01:26

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Aggregates Classification01:29

Aggregates Classification

Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
Stress Concentrations01:24

Stress Concentrations

Stress concentration is when stress intensifies near discontinuities such as holes or abrupt cross-sectional changes in a structural member. This localized stress can often surpass the average stress within the member. The stress distribution in flat bars, either with a circular hole or varying widths connected by fillets, can be determined experimentally using a photoelastic method. The results are based on ratios of geometric parameters like the ratio of the hole's radius to the smaller width...
Stress Concentrations01:13

Stress Concentrations

The concept of stress concentration is crucial for understanding how materials respond under bending stresses, particularly when there are irregularities or discontinuities in the material's geometry. Normally, stress in a symmetric member subjected to pure bending is assumed to be uniformly distributed across the entire cross-section. However, this assumption does not hold when there are variations in the cross-sectional geometry or the presence of notches and holes.
The stress concentration...

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Related Experiment Video

Updated: Jun 23, 2026

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

Choking and excelling under pressure in experienced classifiers.

Darrell A Worthy1, Arthur B Markman, W Todd Maddox

  • 1Department of Psychology, University of Texas, Austin, Texas 78712, USA. worthyda@mail.utexas.edu

Attention, Perception & Psychophysics
|May 12, 2009
PubMed
Summary

Pressure negatively impacts categorization performance in highly trained individuals, regardless of task type. However, under extreme pressure, information-integration tasks were performed better than rule-based tasks, contrasting with previous findings.

Related Experiment Videos

Last Updated: Jun 23, 2026

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
06:09

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation

Published on: September 8, 2023

Area of Science:

  • Cognitive Psychology
  • Neuroscience

Background:

  • Previous research indicates pressure affects category learning differently based on expertise.
  • Inexperienced individuals may choke on rule-based tasks but improve on information-integration tasks under pressure.

Purpose of the Study:

  • To investigate the effects of pressure on categorization performance in highly trained individuals.
  • To compare performance under pressure versus low-pressure conditions across different task types.

Main Methods:

  • Participants underwent extensive training on rule-based or information-integration tasks.
  • A pressure group performed the task for monetary bonuses, while a control group performed without pressure.
  • Performance decrements were analyzed between groups and task types.

Main Results:

  • Pressure led to performance decrements in both rule-based and information-integration tasks for experienced classifiers.
  • This contrasts with findings in inexperienced classifiers where rule-based tasks suffered more than information-integration tasks.
  • Under extreme "superpressure," information-integration tasks were performed better than rule-based tasks.

Conclusions:

  • Pressure can impair categorization performance in experts, contrary to some findings with novices.
  • The type of task and the level of pressure interact to influence performance.
  • Findings contribute to understanding "choking under pressure" phenomena in cognitive tasks.