Verbal Deception and the Model Statement as a Lie Detection Tool [PDF]
We have been reliably informed by practitioners that police officers and intelligence officers across the world have started to use the Model Statement lie detection technique. In this article we introduce this technique. We describe why it works, report
Aldert Vrij +2 more
doaj +2 more sources
Accuracy, Confidence, and Experiential Criteria for Lie Detection Through a Videotaped Interview [PDF]
An individual's ability to discriminate lies from truth is far from accurate, and is poorly related to an individual's confidence in his/her detection.
Antonietta Curci +4 more
doaj +2 more sources
Single-trial lie detection using a combined fNIRS-polygraph system [PDF]
Deception is a human behavior that many people experience in daily life. It involves complex neuronal activities in addition to several physiological changes in the body.
M. Raheel eBhutta +4 more
doaj +2 more sources
Neurorights vs. neuroprediction and lie detection: The imperative limits to criminal law. [PDF]
Díaz Soto JM, Borbón D.
europepmc +3 more sources
Group discussion improves lie detection. [PDF]
Significance Detecting lies is difficult. Accuracy rates in experiments are only slightly greater than chance, even among trained professionals. Costly programs aimed at training individual lie detectors have mostly been ineffective. Here we test a different strategy: asking individuals to detect lies as a group.
Klein N, Epley N.
europepmc +4 more sources
Neurophysiological Approaches to Lie Detection: A Systematic Review [PDF]
Background and Objectives: Lie detection is crucial in domains such as security, law enforcement, and clinical assessments. Traditional methods suffer from reliability issues and susceptibility to countermeasures. In recent years, electroencephalography (
Bewar Neamat Taha +2 more
doaj +2 more sources
Verbal Lie Detection: Its Past, Present and Future. [PDF]
Vrij A +5 more
europepmc +3 more sources
A novel approach for lie detection based on F-score and extreme learning machine. [PDF]
Gao J +6 more
europepmc +3 more sources
Response: Commentary: Distrust, False Cues, and Below-Chance Deception Detection Accuracy: Commentary on Stel et al. (2020) and Further Reflections on (Un)Conscious Lie Detection From the Perspective of Truth-Default Theory [PDF]
Mariëlle Stel, Eric van Dijk
doaj +2 more sources
The Segmented Interview: Partitioning the Initial Free Recall Topics into Segments to Enhance Information Gathering and Lie Detection. [PDF]
Deeb H, Vrij A, Severino M, Leal S.
europepmc +3 more sources

