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

Understanding Deception01:14

Understanding Deception

211
Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
211
Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

11.7K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
11.7K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

7.2K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
7.2K
Actuarial Approach01:20

Actuarial Approach

345
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
345
Strategies of Self-Presentation II: Self-Verification01:17

Strategies of Self-Presentation II: Self-Verification

245
Self-verification is a fundamental psychological drive wherein individuals seek affirmation of their self-concept from others, striving for consistency between their internal self-view and external perceptions. This drive operates even when the self-concept is negative, influencing interpersonal behavior and feedback preferences in complex and often counterintuitive ways. Unlike the self-enhancement motive, which seeks positive evaluations, self-verification prioritizes coherence and...
245
Eyewitness Memory01:22

Eyewitness Memory

552
Eyewitness memory refers to the recollection of events by someone who has directly witnessed them, often serving as critical evidence in legal settings. This type of memory is commonly used in criminal cases where a witness describes details like a suspect's appearance, clothing, or behavior during a crime. However, despite its perceived reliability, eyewitness memory is prone to significant errors.
One such error is memory distortion, which occurs because human memory does not function...
552

You might also read

Related Articles

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

Sort by
Same author

Impacts of physical and testimonial evidence on South Korean Police interrogator's selection of tactics.

Psychiatry, psychology, and law : an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law·2026
Same author

Assessing lying about opinions through extending the devil's advocate interview protocol with a same example statement.

Acta psychologica·2026
Same author

The Segmented Interview: Partitioning the Initial Free Recall Topics into Segments to Enhance Information Gathering and Lie Detection.

Behavioral sciences (Basel, Switzerland)·2025
Same author

All mouth and trousers? Use of the Devil's Advocate questioning protocol to determine authenticity of opinions about protester actions.

Psychiatry, psychology, and law : an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law·2024
Same author

Veracity Judgments Based on Complications: A Training Experiment.

Behavioral sciences (Basel, Switzerland)·2024
Same author

Introducing the high-context communication style interview protocol to detect deception in pairs.

Acta psychologica·2024

Related Experiment Video

Updated: Mar 8, 2026

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
07:36

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

Published on: May 3, 2016

9.1K

Insurance based lie detection: Enhancing the verifiability approach with a model statement component.

Adam C Harvey1, Aldert Vrij1, Sharon Leal1

  • 1Department of Psychology, University of Portsmouth, UK.

Acta Psychologica
|January 16, 2017
PubMed
Summary
This summary is machine-generated.

The Verifiability Approach (VA) enhanced with a model statement significantly improved lie detection accuracy from 65% to 90%. This refinement helps distinguish truth-tellers from liars by encouraging verifiable details.

Keywords:
Insurance interviewingeliciting cueslie detection

More Related Videos

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling
06:51

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling

Published on: April 6, 2018

8.9K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.7K

Related Experiment Videos

Last Updated: Mar 8, 2026

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
07:36

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

Published on: May 3, 2016

9.1K
The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling
06:51

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling

Published on: April 6, 2018

8.9K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.7K

Area of Science:

  • Psychology
  • Forensic Science
  • Communication Studies

Background:

  • The Verifiability Approach (VA) is a verbal lie detection tool.
  • VA has shown promise in insurance claims settings.
  • Enhancing VA with verifiable information is explored.

Purpose of the Study:

  • To examine the effectiveness of incorporating a Model Statement into the VA protocol.
  • To enhance verbal differences between liars and truth tellers.
  • To improve the accuracy of the VA in detecting deception.

Main Methods:

  • Experimental manipulation of VA with and without a Model Statement.
  • Participants provided genuine and fabricated insurance claim statements.
  • Hypothesized differential reporting of verifiable/unverifiable details and improved classification accuracy.

Main Results:

  • All three hypotheses were supported.
  • The Model Statement significantly increased VA classificatory accuracy from 65.0% to 90.0%.

Conclusions:

  • Supplementing the VA with a Model Statement is a useful refinement.
  • The Model Statement primes interviewees with checkable details.
  • This method enhances the VA's effectiveness in lie detection.