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

957
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...
957
Decision Making: P-value Method01:09

Decision Making: P-value Method

6.9K
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...
6.9K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.4K
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...
5.4K
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

6.6K
Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
6.6K
Reason and Intuition01:37

Reason and Intuition

7.5K
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...
7.5K
Framing Effects03:26

Framing Effects

7.9K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.9K

You might also read

Related Articles

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

Sort by
Same author

Ancestral iconicity: the dance language of bees revisited.

Biological reviews of the Cambridge Philosophical Society·2026
Same author

Assessing Pressures Shaping Natural Language Lexica.

Cognitive science·2025
Same author

Birds combined calls more than 11 million years ago.

Scientific reports·2025
Same author

Evidence for compositional abilities in one-year-old infants.

Communications psychology·2025
Same author

Melodic contour supersedes short-term statistical learning in expressive accentuation.

PloS one·2024
Same author

Word learning tasks as a window into the <i>triggering problem</i> for presuppositions.

Natural language semantics·2024
Same journal

Exploring psychological tradeoffs: Developing and demonstrating an R Shiny app for Pareto optimization.

Behavior research methods·2026
Same journal

The performance of Bayesian fit measures in detecting misspecified multilevel structural equation modeling.

Behavior research methods·2026
Same journal

Psychometric functions from multiple responses : Dedicated to the memory of Colin L. Mallows.

Behavior research methods·2026
Same journal

Low-cost, open-source, full-stack software and Arduino-based hardware for control of commercially available animal behavior systems.

Behavior research methods·2026
Same journal

PyNeon: A Python package for the analysis of Neon multimodal mobile eye-tracking data.

Behavior research methods·2026
Same journal

Talking surveys: How photorealistic embodied conversational agents shape response quality, engagement, and satisfaction.

Behavior research methods·2026
See all related articles

Related Experiment Video

Updated: Jan 29, 2026

Femur Window Chamber Model for In Vivo Cell Tracking in the Murine Bone Marrow
08:41

Femur Window Chamber Model for In Vivo Cell Tracking in the Murine Bone Marrow

Published on: July 28, 2016

8.7K

Mouse tracking as a window into decision making.

Mora Maldonado1, Ewan Dunbar2, Emmanuel Chemla3

  • 1Center for Language Evolution, PPLS, University of Edinburgh, Dugald Stewart Building, Edinburgh, EH8 9AD, United Kingdom. Mora.Maldonado@ed.ac.uk.

Behavior Research Methods
|February 14, 2019
PubMed
Summary
This summary is machine-generated.

Mouse tracking reveals cognitive decision changes, with mouse path (spatial data) being more informative than speed or acceleration (temporal data) for detection. This method offers a fine-grained analysis of cognitive dynamics.

Keywords:
Decision makingLDAMouse trackingNegation processingSentence verification

More Related Videos

Intravital Microscopy of the Mouse Brain Microcirculation using a Closed Cranial Window
08:37

Intravital Microscopy of the Mouse Brain Microcirculation using a Closed Cranial Window

Published on: November 18, 2010

18.1K
In Vivo Wide-Field and Two-Photon Calcium Imaging from a Mouse Using a Large Cranial Window
06:45

In Vivo Wide-Field and Two-Photon Calcium Imaging from a Mouse Using a Large Cranial Window

Published on: August 4, 2022

8.4K

Related Experiment Videos

Last Updated: Jan 29, 2026

Femur Window Chamber Model for In Vivo Cell Tracking in the Murine Bone Marrow
08:41

Femur Window Chamber Model for In Vivo Cell Tracking in the Murine Bone Marrow

Published on: July 28, 2016

8.7K
Intravital Microscopy of the Mouse Brain Microcirculation using a Closed Cranial Window
08:37

Intravital Microscopy of the Mouse Brain Microcirculation using a Closed Cranial Window

Published on: November 18, 2010

18.1K
In Vivo Wide-Field and Two-Photon Calcium Imaging from a Mouse Using a Large Cranial Window
06:45

In Vivo Wide-Field and Two-Photon Calcium Imaging from a Mouse Using a Large Cranial Window

Published on: August 4, 2022

8.4K

Area of Science:

  • Cognitive Science
  • Human-Computer Interaction
  • Psychology

Background:

  • Mouse tracking is a promising, accessible alternative to eye-tracking for studying cognitive processes.
  • It offers finer-grained data than response times, capturing decision dynamics.
  • Investigating the utility of mouse movements for understanding cognitive shifts is crucial.

Purpose of the Study:

  • To determine how decision changes manifest in mouse movements.
  • To compare the effectiveness of spatial versus temporal mouse-tracking data in detecting cognitive shifts.
  • To evaluate standard mouse-tracking measures against an optimal analytical approach.

Main Methods:

  • Two experiments were conducted: one manipulating decision flips and another replicating linguistic negation studies.
  • Mouse trajectories were analyzed using standard measures (e.g., area under the curve, direction flips) and a linear discriminant analysis.
  • The study compared the sensitivity of spatial (position) versus temporal (speed, acceleration) mouse-tracking data.

Main Results:

  • Spatial information, specifically the mouse path, is more critical than temporal information (speed, acceleration) for identifying decision changes.
  • An optimal linear discriminant analysis highlighted the importance of positional data.
  • The study provides a quantitative comparison of various mouse-tracking metrics' sensitivities.

Conclusions:

  • Mouse tracking effectively captures cognitive decision changes, primarily through spatial trajectory analysis.
  • Mouse path data offers superior sensitivity for detecting cognitive shifts compared to speed or acceleration.
  • This research validates mouse tracking as a valuable tool for cognitive process research.