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

Stereotype Threat and Self-fulfilling Prophecies02:09

Stereotype Threat and Self-fulfilling Prophecies

42.5K
When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
42.5K
Threats to Biodiversity01:50

Threats to Biodiversity

27.2K
There have been five major extinction events throughout geological history, resulting in the elimination of biodiversity, followed by a rebound of species that adapted to the new conditions. In the current geological epoch, the Holocene, there is a sixth extinction event in progress. This mass extinction has been attributed to human activities and is thus provisionally called the Anthropocene. In 2019 the human population reached 7.7 billion people and is projected to comprise 10 billion by...
27.2K
Statistical Significance01:50

Statistical Significance

22.2K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
22.2K
Probability in Statistics01:14

Probability in Statistics

23.5K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
23.5K
Introduction to Statistics01:17

Introduction to Statistics

64.6K
The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
64.6K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

46.1K
VSEPR Theory for Determination of Electron Pair Geometries
46.1K

You might also read

Related Articles

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

Sort by
Same author

Human infants' perception and understanding of others' actions.

Infant behavior & development·2025
Same author

Challenges in the Development and Evaluation of Pediatric Heart Valve Technologies.

The Annals of thoracic surgery·2024
Same author

How attention factors into executive function in preschool children.

Frontiers in psychology·2023
Same author

More than fear: Contributions of biobehavioral synchrony and infants' reactivity to cooperative care.

The Behavioral and brain sciences·2023
Same author

Coupling between prefrontal brain activity and respiratory sinus arrhythmia in infants and adults.

Developmental cognitive neuroscience·2022
Same author

Corrigendum to "Coupling between prefrontal brain activity and respiratory sinus arrhythmia in infants and adults" [Dev. Cognit. Neurosci. 53 (2021) 101047].

Developmental cognitive neuroscience·2022
Same journal

From silenced shock to strategic resilience: a longitudinal qualitative study of nurse residents' trajectory in coping with patient verbal abuse.

Frontiers in psychology·2026
Same journal

Validation of the Internet Addiction Test (IAT) for forest firefighters: implications for human-technology interaction and occupational safety in the future of work.

Frontiers in psychology·2026
Same journal

Development and validation of the football emotion scale for Chinese youth players: a psychometric study.

Frontiers in psychology·2026
Same journal

From online engagement to offline action: how social media environmental engagement shapes university students' pro-environmental citizenship through intrinsic motivation and personal norms.

Frontiers in psychology·2026
Same journal

The multidimensional inventory of religious/spiritual wellbeing in Hungarian language: psychometric properties and initial validation.

Frontiers in psychology·2026
Same journal

Effects of occupational factors on depression in Chinese veterans: a fsQCA study based on 2022 CFPS data.

Frontiers in psychology·2026
See all related articles

Related Experiment Video

Updated: Feb 11, 2026

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
11:18

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat

Published on: September 12, 2014

15.8K

Statistical Models for Predicting Threat Detection From Human Behavior.

Timothy Kelley1, Mary J Amon2, Bennett I Bertenthal2

  • 1Naval Surface Warfare Center, Crane Division, Crane, IN, United States.

Frontiers in Psychology
|May 2, 2018
PubMed
Summary
This summary is machine-generated.

Mouse tracking data accurately predicts risky online behavior, outperforming traditional security knowledge surveys. This real-time behavioral analysis offers valuable insights for cybersecurity interventions and user safety online.

Keywords:
cyber securitycyberpsychologyhuman dynamicsmouse trackingphishingstatistical modelsthreat detection

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

6.1K
Behavioral Phenotyping of Murine Disease Models with the Integrated Behavioral Station INBEST
12:18

Behavioral Phenotyping of Murine Disease Models with the Integrated Behavioral Station INBEST

Published on: April 23, 2015

10.4K

Related Experiment Videos

Last Updated: Feb 11, 2026

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
11:18

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat

Published on: September 12, 2014

15.8K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

6.1K
Behavioral Phenotyping of Murine Disease Models with the Integrated Behavioral Station INBEST
12:18

Behavioral Phenotyping of Murine Disease Models with the Integrated Behavioral Station INBEST

Published on: April 23, 2015

10.4K

Area of Science:

  • Cybersecurity
  • Human-Computer Interaction
  • Behavioral Science

Background:

  • Distinguishing secure from insecure cyber platforms is crucial for user privacy and safety.
  • Mouse tracking offers high-resolution insights into perception, categorization, and decision-making during threat detection.
  • Real-time user behavior measures are increasingly explored in cybersecurity research, but their predictive value compared to self-report is debated.

Purpose of the Study:

  • To empirically evaluate the predictive accuracy of real-time mouse tracking data versus traditional questionnaires in identifying risky online behavior.
  • To assess the added value of mouse tracking in understanding user decision-making during simulated phishing attacks.
  • To validate mouse tracking-derived behavioral measures for cybersecurity and user intervention research.

Main Methods:

  • Participants navigated simulated secure and insecure websites with varying authentication levels.
  • Mouse tracking data and task performance were recorded during the website interaction task.
  • Hierarchical Bayesian logistic models compared the predictive accuracy of mouse tracking, website security factors, and survey data.

Main Results:

  • Participants exhibited a bias towards logging into websites, even potentially dangerous ones, with accuracy in identifying spoof sites near chance levels.
  • Models incorporating real-time mouse tracking indicators provided the most accurate prediction of participant behavior in identifying spoof websites.
  • Survey data on security knowledge and website familiarity were less predictive of risky online behavior than real-time behavioral measures.

Conclusions:

  • Real-time mouse tracking data significantly enhances the prediction of risky online behavior compared to traditional survey methods.
  • Mouse tracking provides validated, applicable measures for cybersecurity research and the development of user interventions.
  • Relying solely on survey data may underestimate users' susceptibility to online threats, highlighting the importance of behavioral analytics.