Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Decision Making

Decision Making

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...

Decision Making: Traditional Method

Decision Making: Traditional Method

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...

Decision Making: P-value Method

Decision Making: P-value Method

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 have a...

Statgraphics

Statgraphics

Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...

Manipulation and Analysis

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...

Mathematical Modeling: Problem Solving

Mathematical Modeling: Problem Solving

Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...

You might also read

Related Articles

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

Sort by

Same author

Dissociating the behavioral and computational features of implicit motor learning and explicit perturbation detection.

bioRxiv : the preprint server for biology·2026

Same author

Normalization accounts for temporal dynamics in human somatosensory cortex.

bioRxiv : the preprint server for biology·2026

Same author

Visual confidence accurately tracks increasing internal noise with eccentricity in peripheral vision.

bioRxiv : the preprint server for biology·2026

Same author

Implicit adaptation's effect on sensorimotor and motor confidence.

bioRxiv : the preprint server for biology·2025

Same author

Sensorimotor confidence during explicit motor adaptation.

bioRxiv : the preprint server for biology·2025

Same author

Functional Localization of Visual Motion Area FST in Humans.

Imaging neuroscience (Cambridge, Mass.)·2025

Search research articles

Related Experiment Video

Updated: Jul 3, 2026

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

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

Decision making, movement planning and statistical decision theory.

Julia Trommershäuser¹, Laurence T Maloney, Michael S Landy

¹Giessen University, Department of Psychology, Otto-Behaghel-Str. 10F, 35394 Giessen, Germany. julia.trommershaeuser@psychol.uni-giessen.de

Trends in Cognitive Sciences

|July 11, 2008

Summary

Behavioral studies reveal that people misrepresent probabilities in economic tasks but optimize decisions in motor tasks, despite similar mathematical frameworks. This highlights differences in uncertainty perception and information acquisition across domains.

Related Experiment Videos

Last Updated: Jul 3, 2026

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

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

Area of Science:

Cognitive psychology
Behavioral economics
Motor control

Background:

Understanding probability representation is crucial for decision-making.
Statistical decision theory provides a framework for analyzing behavioral tasks.
Discrepancies exist in how humans handle probability in different domains.

Purpose of the Study:

To compare probability representation in motor and economic tasks.
To investigate why performance differs in mathematically equivalent tasks.
To explore the role of uncertainty source and acquisition.

Main Methods:

Formulating behavioral tasks using statistical decision theory.
Comparing subject performance in economic and motor tasks.
Analyzing decision-making strategies and expected gain maximization.

Main Results:

Subjects in economic tasks often misrepresent rare event probabilities and fail to maximize expected gain.
Subjects in motor tasks adopt strategies close to maximizing expected gain.
Differences in uncertainty source and information acquisition are evident.

Conclusions:

Human probability representation and decision-making vary significantly across motor and economic domains.
The nature of uncertainty and how it's acquired impacts behavioral outcomes.
Further research is needed to fully understand these domain-specific differences.