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

Role of Shaping in Operant Conditioning01:19

Role of Shaping in Operant Conditioning

220
Shaping is a technique used in operant conditioning to train complex behaviors by rewarding successive approximations toward the target behavior. This method is necessary because organisms are unlikely to perform complex behaviors spontaneously. Instead, shaping breaks down the desired behavior into small, manageable steps.
The steps involved in shaping begin with reinforcing any response that resembles the desired behavior. For example, parents might praise a child for picking up one toy. As...
220
Decision Making01:20

Decision Making

68
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...
68
Fixed Action Patterns01:06

Fixed Action Patterns

15.6K
A fixed action pattern (FAP) is a specific, hard-wired sequence of behaviors that occurs in response to an external stimulus, called a sign stimulus. The behavior is “fixed” because it is essentially unchangeable—proceeding similarly across individuals of a species every time it occurs.
15.6K
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

7.2K
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...
7.2K
Heuristics01:21

Heuristics

45
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
45
Reason and Intuition01:37

Reason and Intuition

6.3K
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...
6.3K

You might also read

Related Articles

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

Sort by
Same author

Attention probes may inflate real effects and create pseudoeffects: A rerun and reassessment of Hemed et al. (2020).

Journal of experimental psychology. General·2025
Same author

The unboxing has already begun: One motivation construct at a time.

The Behavioral and brain sciences·2025
Same author

A spatial human thymus cell atlas mapped to a continuous tissue axis.

Nature·2024
Same author

Sub-threshold neuronal activity and the dynamical regime of cerebral cortex.

Nature communications·2024
Same author

Cortical reactivations predict future sensory responses.

Nature·2023
Same author

A spatial human thymus cell atlas mapped to a continuous tissue axis.

bioRxiv : the preprint server for biology·2023
Same journal

Demonstration of a quantum C-NOT gate in a time-multiplexed fully reconfigurable photonic processor.

Nature communications·2026
Same journal

Nonlinear quantum light source with van der Waals ferroelectric NbOX<sub>2</sub> (X = Br, I).

Nature communications·2026
Same journal

Antagonistic histone H2A variants and autonomous heterochromatin formation shape epigenomic patterns in Arabidopsis.

Nature communications·2026
Same journal

The long tail of nitrate pollution in groundwater challenges governance of global water quality.

Nature communications·2026
Same journal

Select microbial metabolites promote tau aggregation in a murine tauopathy model.

Nature communications·2026
Same journal

Warming climate has lengthened global intense tropical cyclone seasons.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: May 9, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.3K

Using an algorithmic approach to shape human decision-making through attraction to patterns.

Haran Shani-Narkiss1, Baruch Eitam2, Oren Amsalem3

  • 1UCL Sainsbury Wellcome Centre for Neural Circuits and Behaviour, London, W1T 4JG, UK. h.shani-narkiss@ucl.ac.uk.

Nature Communications
|May 2, 2025
PubMed
Summary
This summary is machine-generated.

Humans are drawn to predictable patterns, even when they are not beneficial. A study showed that a pattern-based algorithm biased decision-making, highlighting the value humans place on regularity.

More Related Videos

Pavlovian Conditioned Approach Training in Rats
06:57

Pavlovian Conditioned Approach Training in Rats

Published on: February 4, 2016

10.9K
The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

5.6K

Related Experiment Videos

Last Updated: May 9, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
06:48

The HoneyComb Paradigm for Research on Collective Human Behavior

Published on: January 19, 2019

9.3K
Pavlovian Conditioned Approach Training in Rats
06:57

Pavlovian Conditioned Approach Training in Rats

Published on: February 4, 2016

10.9K
The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

5.6K

Area of Science:

  • Decision-making science
  • Behavioral economics
  • Cognitive psychology

Background:

  • Humans exhibit a natural attraction to patterns and regularity.
  • This attraction may influence decision-making processes, even when regularity offers no objective advantage.

Purpose of the Study:

  • To investigate if decision-makers are influenced by regularity, even when it is not profitable.
  • To develop and test an algorithm designed to exploit this preference for regularity.

Main Methods:

  • An algorithm was created to allocate rewards in a discernible, evolving pattern to one option.
  • This algorithm was used in an international challenge to bias individual preferences.

Main Results:

  • The pattern-based algorithm successfully biased preferences, leading to a 2:1 preference for the regular option.
  • This preference was established despite the regular option being disadvantageous.

Conclusions:

  • Humans assign value to regularity, influencing their choices.
  • Decision-making models solely based on reward learning may be incomplete, as they do not account for the value of qualitative patterns.