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You can’t kid a kidder: Association between production and detection of deception in an interactive deception task [PDF]

Frontiers in Human Neuroscience, 2012
Both the ability to deceive others, and the ability to detect deception, have long been proposed to confer an evolutionary advantage. Deception detection has been studied extensively, and the finding that typical individuals fare little better than ...
Gordon R.T. Wright, Christopher J Berry, Geoffrey eBird   +2 more
doaj   +4 more sources

Multimodal machine learning for deception detection using behavioral and physiological data [PDF]

Scientific Reports
Deception 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, Vaibhav Tasgaonkar, Aditya Deshpande, Aditya Desai, Bhavya Shah, Akshay Kushawaha, Aadith Sukumar, Kermi Kotecha, Saumit Kunder, Yoginii Waykole, Harsh Maheshwari, Abhijit Das, Shubhashi Gupta, Akanksha Subudhi, Priyanka Jain, N. K. Jain, Rahee Walambe, Ketan Kotecha   +17 more
doaj   +2 more sources

A Semi-Supervised Speech Deception Detection Algorithm Combining Acoustic Statistical Features and Time-Frequency Two-Dimensional Features [PDF]

Brain Sciences, 2023
Human lying is influenced by cognitive neural mechanisms in the brain, and conducting research on lie detection in speech can help to reveal the cognitive mechanisms of the human brain.
Hongliang Fu, Hang Yu, Xuemei Wang, Xiangying Lu, Chunhua Zhu   +4 more
doaj   +2 more sources

Ethics and Fairness Considerations in AI-Based Deception Detection Technologies for Mental Health Applications: Focus Group Study [PDF]

JMIR AI
BackgroundArtificial intelligence (AI) technologies are increasingly being integrated into mental health settings to support tasks such as clinical documentation and decision-making. In parallel, AI-enabled deception detection, which leverages multimodal
Sayde Leya King, Serena Bhaskar, Julia Woodward, Tempestt Neal   +3 more
doaj   +2 more sources

A deception detection model by using integrated LLM with emotion features [PDF]

Scientific Reports
Traditional 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, Yingqian Zhang, Chengcong Lin, Shuang Zhou   +3 more
doaj   +2 more sources

Deception Detection in Videos

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
We present a system for covert automated deception detection using information available in a video. We study the importance of different modalities like vision, audio and text for this task. On the vision side, our system uses classifiers trained on low level video features which predict human micro-expressions.
Zhe Wu 0001, Bharat Singh, Larry S. Davis, V. S. Subrahmanian   +3 more
openaire   +3 more sources

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   +5 more sources

Self and other-perceived deception detection abilities are highly correlated but unassociated with objective detection ability: Examining the detection consensus effect [PDF]

Scientific Reports
Subjective lying rates are often strongly and positively correlated. Called the deception consensus effect, people who lie often tend to believe others lie often, too.
David M. Markowitz
doaj   +2 more sources

Deceptively simple… The deception-general ability and the need to put the liar under the spotlight. [PDF]

Frontiers in Neuroscience, 2013
This Focused Review expands upon our original paper (You can’t kid a kidder": Interaction between production and detection of deception in an interactive deception task. Frontiers in Human Neuroscience, 6:87).
Gordon R.T. Wright, Christopher J Berry, Geoffrey eBird, Geoffrey eBird   +3 more
doaj   +2 more sources

LegalEye: Multimodal Court Deception Detection Across Multiple Languages [PDF]

Behavioral Sciences
This 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, Nivedha Sreenivasan, So Young Kang, Alexandra My-Linh Miller, Megan Chacko, Shreya Krishnan, Carmen Ayala, Esperanza Ayala, Dohyeong Kim   +8 more
doaj   +2 more sources