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A deception detection model by using integrated LLM with emotion features [PDF]
Scientific ReportsTraditional lie detection relies on the experience of human interrogators, making it susceptible to subjective factors and leading to misjudgments. To solve this problem, we propose an emotion-enhanced deception detection model, Lie Detection using ...
Chucheng Zhou +3 more
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The Polygraph and the Detection of Deception [PDF]
Journal of Forensic Psychology Practice, 2010 Over the last decade, Europe has seen a marked increase in the use of the polygraph for the detection of deception. Belgium and Finland nowadays regularly use polygraph tests in criminal investigations, and the United Kingdom and the Netherlands have adopted its use in the treatment and monitoring of sex offenders.
Meijer, Ewout H, Verschuere, Bruno
openaire +7 more sources
Multimodal machine learning for deception detection using behavioral and physiological data [PDF]
Scientific ReportsDeception detection is crucial in domains like national security, privacy, judiciary, and courtroom trials. Differentiating truth from lies is inherently challenging due to many complex, diversified behavioural, physiological and cognitive aspects ...
Gargi Joshi +17 more
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Emotional intelligence and mismatching expressive and verbal messages: a contribution to detection of deception. [PDF]
PLoS ONE, 2014 Processing facial emotion, especially mismatches between facial and verbal messages, is believed to be important in the detection of deception. For example, emotional leakage may accompany lying. Individuals with superior emotion perception abilities may
Jerzy Wojciechowski +2 more
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LegalEye: Multimodal Court Deception Detection Across Multiple Languages [PDF]
Behavioral SciencesThis study introduces LegalEye, a multimodal machine-learning model developed to detect deception in courtroom settings across three languages: English, Spanish, and Tagalog.
Rommel Isaac A. Baldivas +8 more
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Automatic Detection of Verbal Deception [PDF]
Computational Linguistics, 2016 A growing field in computer applications is the use of algorithms to spot the lie. The most promising area within this field is the analysis of the language of the liar since speakers effectively control only the meaning they wish to convey, but not the linguistic style of the communication.
Yoong Keok Lee
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Contextual considerations for deception production and detection in forensic interviews
Frontiers in Psychology, 2023 Most deception scholars agree that deception production and deception detection effects often display mixed results across settings. For example, some liars use more emotion than truth-tellers when discussing fake opinions on abortion, but not when ...
David M. Markowitz +3 more
doaj +1 more source
HOW PEOPLE [TRY TO] DETECT LIES IN EVERYDAY LIFE [PDF]
Trames, 2021 Laboratory-based deception-detection experiments often fail to capture the features of everyday life lie detection among ordinary citizens. In this study, we examined how people [try to] detect deception in real life.
Nuria Sánchez +2 more
doaj +1 more source
Lying takes time : a meta-analysis on reaction time measures of deception [PDF]
, 2017 Lie detection techniques are frequently used, but most of them have been criticized for the lack of empirical support for their predictive validity and presumed underlying mechanisms.
Ben-Shakhar, Gershon +4 more
core +11 more sources
Survey of software anomaly detection based on deception
网络与信息安全学报, 2022 Advanced persistent threats (APT) will use vulnerabilities to automatically load attack code and hide attack behavior, and exploits code reuse to bypass the non-executable stack ＆amp; heap protection, which is an essential threat to network security ...
Jianming FU +3 more
doaj +3 more sources