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How smart your smartphone is in lie detection?
International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2019Lying is a (practically) unavoidable component of our day to day interactions with other people, and it includes both oral and textual communications (e.g. text entered via smartphones).
Md. Mizanur Rahman +4 more
semanticscholar +1 more source
ReLiDSS: Novel lie detection system from speech signal
ACS/IEEE International Conference on Computer Systems and Applications, 2016Lying is among the most common wrong human acts that merits spending time thinking about it. The lie detection is until now posing a problem in recent research which aims to develop a non-contact application in order to estimate physiological changes. In
Hanen Nasri, W. Ouarda, A. Alimi
semanticscholar +1 more source
A Study on Using Blink Parameters from EEG Data for Lie Detection
International Conference on Computational Collective Intelligence, 2018The use of EEG signals taken from human brain showcases promising information for detecting lies and false intent in a person with increased accuracy.
Joshua Immanuel, Ajay Joshua, S. George
semanticscholar +1 more source
You must be lying because I don't understand you: Language proficiency and lie detection.
Journal of experimental psychology. Applied, 2016We examined the impact of interviewees' language proficiencies on observers' lie detection performance. Observers (N = 132) were randomly assigned to make deception judgments about interviewees (N = 56) from Four proficiency groups (i.e., native ...
E. Elliott, Amy‐May Leach
semanticscholar +1 more source
The emergence of “truth machines”?: Artificial intelligence approaches to lie detection
Ethics and Information Technology, 2022Jo Ann Oravec
semanticscholar +1 more source
Journal of Clinical Psychiatry, 2016
OBJECTIVE Intentional deception is a common act that often has detrimental social, legal, and clinical implications. In the last decade, brain activation patterns associated with deception have been mapped with functional magnetic resonance imaging (fMRI)
D. Langleben +6 more
semanticscholar +1 more source
OBJECTIVE Intentional deception is a common act that often has detrimental social, legal, and clinical implications. In the last decade, brain activation patterns associated with deception have been mapped with functional magnetic resonance imaging (fMRI)
D. Langleben +6 more
semanticscholar +1 more source
The Oxford Handbook of Lying, 2018
Detecting lies is a difficult task. People lie frequently, and most lies are trivial. However, some lies can have very serious consequences. Research has repeatedly demonstrated that people are not good at detecting deceit, with accuracy typically ...
S. Mann
semanticscholar +1 more source
Detecting lies is a difficult task. People lie frequently, and most lies are trivial. However, some lies can have very serious consequences. Research has repeatedly demonstrated that people are not good at detecting deceit, with accuracy typically ...
S. Mann
semanticscholar +1 more source
, 2016
When using a content-based lie detection tool, a decision regarding veracity is made by evaluating the presence of specific content criteria within the interviewee’s account.
Galit Nahari
semanticscholar +1 more source
When using a content-based lie detection tool, a decision regarding veracity is made by evaluating the presence of specific content criteria within the interviewee’s account.
Galit Nahari
semanticscholar +1 more source
A Review of Automatic Lie Detection from Facial Features
Journal of nonverbal behaviorHugues Delmas +3 more
semanticscholar +1 more source
Eye Movements and Lie Detection
International Conference on Intelligent Human Systems Integration, 2018Yulia V. Bessonova, A. Oboznov
semanticscholar +1 more source