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

Decision Making01:20

Decision Making

311
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
311
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.8K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.3K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.3K
Reason and Intuition01:37

Reason and Intuition

7.0K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.0K
Sensation01:21

Sensation

885
Sensory receptors are specialized neurons that respond to specific types of external stimuli, initiating the process known as sensation. This occurs when sensory input, such as light entering the eye, is detected by these receptors, causing chemical changes in the cells of the retina. These cells then convert the sensory stimulus into action potentials that are transmitted to the central nervous system, a process termed transduction.
Absolute thresholds can quantify the sensitivity of sensory...
885
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

7.5K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.5K

You might also read

Related Articles

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

Sort by
Same author

AI-assisted teams outperform AI-led teams but not human-only teams in assessing research reproducibility in quantitative social science.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

The Effect of Cognitive Ability on Novices' Learning of a Field Hockey Motor Skill.

Research quarterly for exercise and sport·2026
Same author

Investigating the analytical robustness of the social and behavioural sciences.

Nature·2026
Same author

The funding system needs fixing - but it's not a 'waste of time and money'.

Nature·2026
Same author

High-value decisions are made quickly, with no consistent effect on accuracy.

PNAS nexus·2025
Same author

The Ideological Turing Test: A Behavioral Measure of Open-Mindedness and Perspective-Taking.

Cognitive science·2025
Same journal

Geographical psychology: Spatial variation in psychological phenomena and their consequences.

Trends in cognitive sciences·2026
Same journal

Multi-brain neurofeedback: what are we training for?

Trends in cognitive sciences·2026
Same journal

The developing vocal self.

Trends in cognitive sciences·2026
Same journal

Searching beyond decrements: Attentional guidance across the adult lifespan.

Trends in cognitive sciences·2026
Same journal

Looking into working memory through micro eye movements.

Trends in cognitive sciences·2026
Same journal

Timescapes of non-human experience.

Trends in cognitive sciences·2026
See all related articles

Related Experiment Video

Updated: Oct 14, 2025

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.1K

Magnitude-sensitivity: rethinking decision-making.

Angelo Pirrone1, Andreagiovanni Reina2, Tom Stafford3

  • 1Centre for Philosophy of Natural and Social Science, London School of Economics and Political Science, London, UK.

Trends in Cognitive Sciences
|November 9, 2021
PubMed
Summary
This summary is machine-generated.

Magnitude-sensitivity shows that decision-making performance depends on the total value of choices. This fundamental principle impacts ecological and computational models, guiding future research and robotic design.

Keywords:
computational modelsdecision-makingecological decision-makingmagnitude-sensitivityoptimality

More Related Videos

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
07:42

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

Published on: August 2, 2018

13.9K
Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
07:09

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

6.2K

Related Experiment Videos

Last Updated: Oct 14, 2025

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.1K
An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents
07:42

An Automated T-maze Based Apparatus and Protocol for Analyzing Delay- and Effort-based Decision Making in Free Moving Rodents

Published on: August 2, 2018

13.9K
Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
07:09

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

6.2K

Area of Science:

  • Decision-making science
  • Behavioral economics
  • Cognitive neuroscience

Background:

  • Decision-making performance is influenced by the overall value of available options.
  • This phenomenon, termed magnitude-sensitivity, has broad implications across various scientific domains.

Purpose of the Study:

  • To review theoretical and empirical findings on magnitude-sensitivity.
  • To underscore the significance of magnitude-sensitivity in understanding decision-making processes.

Main Methods:

  • Literature review of theoretical and empirical studies on magnitude-sensitivity.
  • Analysis of its impact on ecological, computational, and optimal decision-making models.

Main Results:

  • Magnitude-sensitivity affects decision-making across diverse organisms and contexts.
  • It has prompted reevaluation of existing decision-making models and inspired bio-inspired robotics.

Conclusions:

  • Magnitude-sensitivity is a crucial concept for understanding decision-making.
  • Future research should explore open questions and novel applications of this principle.