LieWaves: dataset for lie detection based on EEG signals and wavelets

This study introduces an electroencephalography (EEG)-based dataset to analyze lie detection. Various analyses or detections can be performed using EEG signals. Lie detection using EEG data has recently become a significant topic. In every aspect of life, people find the need to tell lies to each other. While lies told daily may not have significant societal impacts, lie detection becomes crucial in legal, security, job interviews, or situations that could affect the community. This study aims to obtain EEG signals for lie detection, create a dataset, and analyze this dataset using signal processing techniques and deep learning methods. EEG signals were acquired from 27 individuals using a wearable EEG device called Emotiv Insight with 5 channels (AF3, T7, Pz, T8, AF4). Each person took part in two trials: one where they were honest and another where they were deceitful. During each experiment, participants evaluated beads they saw before the experiment and stole from them in front of a video clip. This study consisted of four stages. In the first stage, the LieWaves dataset was created with the EEG data obtained during these experiments. In the second stage, preprocessing was carried out. In this stage, the automatic and tunable artifact removal (ATAR) algorithm was applied to remove the artifacts from the EEG signals. Later, the overlapping sliding window (OSW) method was used for data augmentation. In the third stage, feature extraction was performed. To achieve this, EEG signals were analyzed by combining discrete wavelet transform (DWT) and fast Fourier transform (FFT) including statistical methods (SM). In the last stage, each obtained feature vector was classified separately using Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and CNNLSTM hybrid algorithms. At the study's conclusion, the most accurate result, achieving a 99.88% accuracy score, was produced using the LSTM and DWT techniques. With this study, a new data set was introduced to the literature, and it was aimed to eliminate the deficiencies in this field with this data set. Evaluation results obtained from the data set have shown that this data set can be effective in this field.

Unveiling the efficacy of the feedback concealed information test in collaborative crime detection

Collaborative crime poses severe social hazards. In collaborative crime scenarios, previous studies have indicated that perpetrators' collaborative encoding can impair the detection efficiency of P300-based complex trial protocols due to the collaborative encoding deficit. The feedback concealed information test (fCIT), a unique variation of the concealed information test, provides participants with feedback on how well they conceal information from memory. The fCIT, which has proven to be highly efficient, detects concealed information using recognition P300 along with feedback-related event-related potentials, and reflects the subject's motivation to conceal. However, no studies have examined the fCIT's effectiveness in identifying collaborative criminals. We propose that the fCIT's efficiency persists in cases of collaborative crime and test this hypothesis using a sample of 48 participants. The participants in the collaborative groups were instructed to have hushed conversations about theft to simulate the collaborative crime process. Subsequently, they completed the fCIT. The findings indicate a significant decline in recognition P300's detection efficiency when participants committed crimes collaboratively. Nevertheless, the detection efficiency of feedback P300 and feedback-related negativity remained high. This study's outcomes illustrate the capacity of the fCIT to detect perpetrators involved in collaborative crime.

Examining levels of processing using verbal & pictorial stimuli with the complex trial protocol in a mock theft scenario

The Complex Trial Protocol (CTP) is an EEG-based Concealed Information Test (CIT). Depth of processing influences memorability where deeper processing increases recollection. The CTP's performance as a function of shallow versus deep levels of processing has not been explored. Two experiments were conducted, one with verbal stimuli and the other with their pictorial referents. In both experiments, participants were randomly assigned to three groups, Innocent Control (Control) condition, Guilty Immediate Shallow Processing (Shallow) condition, and Guilty Immediate Deep Processing (Deep) condition. Shallow and Deep participants from both experiments underwent the same mock theft scenario and all three groups were later exposed to either a verbal (N = 41) or pictorial (N = 43) stimulus on a computer monitor. In the word study, no differences in CIT effect were found between any of the groups. Areas under the curve (AUCs) did not differ from chance (.624 and .679 for Shallow and Deep groups respectively). In the image study, the CIT effect for the Shallow and Deep groups differed from the Control one. The AUCs (.755 and .943 for the Shallow and Deep groups respectively) differed significantly from each other. Levels of Processing (LOP) did not appear to have any bearing on CTP performance when words were used as probes but did have an effect when images were used. The findings may hint at some of the limitations of the CTP and fail to replicate similar experiments, especially when words are used as probes, from the late Peter Rosenfeld's laboratory.

Only true and fabricated baseline statements combined might improve lie, but not truth, detection

OBJECTIVES

We tested the effect of true and fabricated baseline statements from the same sender on veracity judgments.

HYPOTHESES

We predicted that presenting a combination of true and fabricated baseline statements would improve truth and lie detection accuracy, while presenting a true baseline would improve only truth detection, and presenting a fabricated baseline would only improve lie detection compared with presenting no baseline statement.

METHOD

In a 4 × 2 within-subjects design, 142 student participants (M_age = 23.47 years; 118 female) read no baseline statement, a true baseline statement, a fabricated baseline statement, and a combination of a true and a fabricated baseline statement from 29 different senders. Participants then rated the veracity of a true or fabricated target statement from the same 29 senders.

RESULTS

Logistic mixed-effects models with senders and participants as random effects showed no significant differences in overall veracity judgment accuracy between the no-baseline (51%) and either the true-baseline (44%) or the fabricated-baseline (49%) conditions. Equivalence tests failed to show the predicted equivalence of these accuracy rates. Separate analyses of truth and lie detection rates confirmed the assumed improvement of lie detection in the combination-of-true-and-fabricated-baseline condition (accuracy = 39%-61%). No other truth or lie detection rate changed significantly except that, unexpectedly, a true baseline reduced truth detection accuracy (64%-49%).

CONCLUSIONS

Baseline statements largely did not affect judgment accuracy and, in the case of true baselines, even had a negative impact on truth detection. The rather small positive effect of two baseline statements on lie detection suggests an avenue for further research, especially with expert raters. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Power and lie detection

Social power undermines focus on others and increases reliance on stereotype-consistent information. Thus, power may enhance focus on stereotypical cues to deception, thereby decreasing lie detection accuracy. In three studies, we tested whether having power affects lie detection accuracy. Participants (overall N = 502) were asked to identify truthful and lying candidates (N = 12) during mock job interviews. Study 1 was a field experiment involving employees who held managerial and non-managerial positions (N = 88). In the following laboratory experiments, we manipulated power and asked participants to imagine themselves as managers (Study 2, N = 214) or provided them with control over resources and the ability to reward others (Study 3, N = 200). In Studies 2 and 3, we additionally manipulated the method of lie detection (direct vs. indirect). In contrast to the original hypotheses, we found that power led to increased veracity assessment accuracy. Having power over others enhances the accuracy of one’s veracity assessment, although this increase is small and limited to lie detection (Study 1) or direct judgments (Studies 2 & 3). Together, power affects the processing of social information and what aspects of this information are taken into account.

Effective connectivity in cortical networks during deception: A lie detection study using EEG

Previous studies have identified activated regions associated with deceptive tasks and most of them utilized time, frequency, or temporal features to identify deceptive responses. However, when deception behaviors occur, the functional connectivity pattern and the communication between different brain areas remain largely unclear. In this study, we explored the most important information flows between different brain cortices during deception. First, we employed the guilty knowledge test protocol and recorded on 64 electrodes electroencephalogram (EEG) signals from 30 subjects (15 guilty and 15 innocent). EEG source estimation was then performed to compute the cortical activities on the 24 regions of interest (ROIs). Next, effective connectivity was calculated by partial directed coherence (PDC) analysis applied to the cortical signals. Furthermore, based on the graph-theoretical analysis, the network parameters with significant differences were extracted as features to identify two groups of subjects. In addition, the ROIs frequently involved in the above network parameters were selected, and based on the difference in the group mean of PDC values of all the edges connected with the selected ROIs, we presented the strongest information flows (MIIF) in the guilty group relative to the innocent group. Experimental results first show that the optimal classification features are mainly in-degree and out-degree measures of the ROI and the high classification accuracy for four bands demonstrated that the proposed method is suitable for lie detection. In addition, the frontoparietal network was found to be most prominent among all the MIIFs in four bands. Finally, combining the neurophysiology signification of four frequency bands, respectively, we analyzed the roles of all the important information flows to uncover the underlying cognitive processes and mechanisms used in deception.

The effects of practicing a novel countermeasure on both the semantic and episodic memory-based complex trial protocols

This study applied a countermeasure-resistant version of the Concealed Information Test - the Complex Trial Protocol (CTP) - in an information recognition scenario. We replicated and extended the effects of a novel countermeasure developed by Lukács et al., (2016) on both Semantic and Episodic CTPs. We measured participants' response time and P300 event-related potential to rare, crime-relevant probe stimuli, or frequent, non-crime-relevant irrelevant stimuli in two ways: 1) probe vs the average of all irrelevants (PvIall), and 2) probe vs the maximum irrelevant (PvImax). We hypothesized that countermeasure use would only impair information recognition (as indexed by P300) when participants had practiced the countermeasure beforehand. We further hypothesized that recognition of less salient, Episodic information (i.e., jewelry items from a mock crime) would be impaired by countermeasure use more than the recognition of highly salient, Semantic information (i.e., birthdates). Individual diagnostics based on the area under the receiver operating characteristic curve (Semantic CTP: practice n = 22, non-practice n = 23; Episodic CTP: practice n = 19, non-practice n = 18) revealed that the Semantic CTP was affected by the novel countermeasure, but both PvIall and PvImax analyses remained diagnostically useful. The Episodic CTP's performance, however, was reduced to chance, regardless of practice or analysis type. These results are important for both the field of deception detection and the CTP literature. Research on improvements to the Episodic CTP is required.

The detection of malingering in whiplash-related injuries: a targeted literature review of the available strategies

OBJECTIVE

The present review is intended to provide an up-to-date overview of the strategies available to detect malingered symptoms following whiplash. Whiplash-associated disorders (WADs) represent the most common traffic injuries, having a major impact on economic and healthcare systems worldwide. Heterogeneous symptoms that may arise following whiplash injuries are difficult to objectify and are normally determined based on self-reported complaints. These elements, together with the litigation context, make fraudulent claims particularly likely. Crucially, at present, there is no clear evidence of the instruments available to detect malingered WADs.

METHODS

We conducted a targeted literature review of the methodologies adopted to detect malingered WADs. Relevant studies were identified via Medline (PubMed) and Scopus databases published up to September 2020.

RESULTS

Twenty-two methodologies are included in the review, grouped into biomechanical techniques, clinical tools applied to forensic settings, and cognitive-based lie detection techniques. Strengths and weaknesses of each methodology are presented, and future directions are discussed.

CONCLUSIONS

Despite the variety of techniques that have been developed to identify malingering in forensic contexts, the present work highlights the current lack of rigorous methodologies for the assessment of WADs that take into account both the heterogeneous nature of the syndrome and the possibility of malingering. We conclude that it is pivotal to promote awareness about the presence of malingering in whiplash cases and highlight the need for novel, high-quality research in this field, with the potential to contribute to the development of standardised procedures for the evaluation of WADs and the detection of malingering.

Brain Fingerprinting and Lie Detection: A Study of Dynamic Functional Connectivity Patterns of Deception Using EEG Phase Synchrony Analysis

This study investigated the brain functional connectivity (FC) patterns related to lie detection (LD) tasks with the purpose of analyzing the underlying cognitive processes and mechanisms in deception. Using the guilty knowledge test protocol, 30 subjects were divided randomly into guilty and innocent groups, and their electroencephalogram (EEG) signals were recorded on 32 electrodes. Phase synchrony of EEG was analyzed between different brain regions. A few-trials-based relative phase synchrony (FTRPS) measure was proposed to avoid the false synchronization that occurs due to volume conduction. FTRPS values with a significantly statistical difference between two groups were employed to construct FC patterns of deception, and the FTRPS values from the FC networks were extracted as the features for the training and testing of the support vector machine. Finally, four more intuitive brain fingerprinting graphs (BFG) on delta, theta, alpha and beta bands were respectively proposed. The experimental results reveal that deceptive responses elicited greater oscillatory synchronization than truthful responses between different brain regions, which plays an important role in executing lying tasks. The functional connectivity in the BFG are mainly implicated in the visuo-spatial imagery, bottom-top attention and memory systems, work memory and episodic encoding, and top-down attention and inhibition processing. These may, in part, underlie the mechanism of communication between different brain cortices during lying. High classification accuracy demonstrates the validation of BFG to identify deception behavior, and suggests that the proposed FTRPS could be a sensitive measure for LD in the real application.

Familiarity-related filler items enhance the RT CIT, but not the P300 CIT: Episodic vs. Semantic memory protocols

The reaction time-based concealed information test (RT CIT) typically uses three types of stimuli: 1) probe (i.e., crime-related item), 2) irrelevant (i.e., crime-unrelated item) and 3) target (i.e., an irrelevant item assigned a unique response so as to ensure attention to the test). Lukács, et al., (2017) introduced familiarity-related filler items to the RT CIT, enhancing the efficacy of the test for both single and multiple probe (per block) protocols. Our study aims to A) replicate the effects of familiarity-related filler items on the RT CIT, B) use P300 to investigate the mechanisms of the fillers-related enhancement effect on the RT CIT, C) investigate whether these fillers can enhance the efficacy of the typical P300-based CIT, and D) explore the effects of fillers on the semantic and episodic versions of the P300 and RT CITs. We replicated a clear fillers-related enhancement of the RT CIT (N = 38 for Fillers, N = 37 for No Fillers). Semantic and Episodic experiments were enhanced equally-well by filler items. No effect of fillers was observed on P300 amplitude for CIT stimuli, however, an interaction involving P300 latency suggests that fillers facilitated the processing of Semantic information over Episodic information. Our study independently replicates a valuable improvement of the traditional RT CIT, investigates the potential mechanisms of this enhancement effect, and demonstrates important differences between the P300 and RT CITs.

Variation of picture angles and its effect on the Concealed Information Test

BACKGROUND

The reaction time-based Concealed Information Test (RT-CIT) is a memory paradigm used to detect crime-related knowledge. However, this would also imply that the RT-CIT would be vulnerable to factors that are known to compromise object recognition or memory integrity. From this perspective, one key issue is whether "guilty" memory can be detected if the crime-related images are photographed at different angles from what the perpetrator saw, which is almost always the case in the field. To investigate this, here we manipulated the deviation angles, from 0° to 330° in 11 steps, between the study and test phases to assess how the RT-CIT holds up against angular rotations.

RESULTS

We observed a robust RT-CIT effect at all deviation angles for both deep-encoders (Experiment 1) and shallow-encoders (Experiment 2). The RT-CIT was effective within the first 250 or so trials for both encoding groups, with smaller probe-irrelevant differences beyond that.

CONCLUSIONS

With appropriate encoding and memory strength, RT-CIT images do not necessarily have to match the exact angle of the perpetrator's perspective at the time of the crime. Unnatural angles such as 90° and 270° or unconventional rotational axes may require caution. Trial number under 250 trials show maximal Probe-Irrelevant difference, but more trials may add power to improve detection accuracy.

Application of Eye Tracker in Lie Detection

Objective To investigate the application value of eye tracking in lie detection. Methods The 40 subjects were randomly divided into two groups. The pupil diameter, fixation duration, points of fixation and blink frequency of the subjects in the experimental group in observing target stimulation and non-target stimulation were recorded with eye tracker after they accomplished the mock crime. The eye movement parameters of subjects in the control group were directly collected. The differences in eye movement parameters of the experimental group and the control group in observing target stimulation and non-target stimulation were analyzed by t-test. Pearson coefficient analysis of correlation between eye movement parameters that had differences was conducted. The effectiveness of eye movement parameters to distinguish between the experimental group and the control group was calculated by the receiver operator characteristic （ROC） curve. Results Participants from the experimental group had shorter average pupil diameter, longer average fixation duration and fewer fixation points （P<0.05）, but the differences in blink frequency had no statistical significance. The differences in the above indicators of the control group in observing target stimulation and non-target stimulation had no statistical significance. The average fixation duration showed a negative correlation with fixation points （r=-0.255, P<0.05）; the average fixation duration showed a negative correlation with average pupil diameter （r=-0.218, P<0.05）; the fixation points showed a positive correlation with average pupil diameter （r=0.09, P<0.05）. The area under the curve of average pupil diameter, average fixation duration and fixation points was 0.603, 0.621 and 0.580, respectively. Conclusion The average pupil diameter, average fixation duration and fixation points obtained by the eye tracker under laboratory conditions can be used to detect lies.

Detecting false intentions using unanticipated questions

The present study investigated whether measurable verbal differences occur when people vocalize their true and false intentions. To test potential differences, we used an experimental set-up where liars planned a criminal act (i.e., installing a virus on a network computer) and truth-tellers a non-criminal act (i.e., installing a new presentation program "SlideDog" on a network computer). Before they could carry out these acts, a confederate intercepted the participant and interviewed them about their intentions and the planning phase by using both anticipated and unanticipated questions. Liars used a cover story to mask their criminal intentions while truth-tellers told the entire truth. In contrast to our hypotheses, both human and automated coding did not show any evidence that liars and truth-tellers differed in plausibility or detailedness. Furthermore, results showed that asking unanticipated questions resulted in lengthier answers than anticipated questions. These results are in line with the mixed findings in the intention literature and suggest that plausibility and detailedness are less diagnostic cues for deception about intentions.

Lie prevalence, lie characteristics and strategies of self-reported good liars

Meta-analytic findings indicate that the success of unmasking a deceptive interaction relies more on the performance of the liar than on that of the lie detector. Despite this finding, the lie characteristics and strategies of deception that enable good liars to evade detection are largely unknown. We conducted a survey (n = 194) to explore the association between laypeople’s self-reported ability to deceive on the one hand, and their lie prevalence, characteristics, and deception strategies in daily life on the other. Higher self-reported ratings of deception ability were positively correlated with self-reports of telling more lies per day, telling inconsequential lies, lying to colleagues and friends, and communicating lies via face-to-face interactions. We also observed that self-reported good liars highly relied on verbal strategies of deception and they most commonly reported to i) embed their lies into truthful information, ii) keep the statement clear and simple, and iii) provide a plausible account. This study provides a starting point for future research exploring the meta-cognitions and patterns of skilled liars who may be most likely to evade detection.

Imagining a false alibi impairs concealed memory detection with the autobiographical Implicit Association Test

Imagining counterfactual versions of past events can distort memory. In 3 experiments, we examined whether imagining a false alibi for a mock crime would make suspects appear less guilty in a concealed memory detection test, the autobiographical Implicit Association Test (aIAT), which aims to determine which of 2 autobiographical events are true. First, "guilty" participants completed a mock crime, whereas "innocent" participants completed an innocent act. Next, some of the guilty participants were asked to imagine a false alibi that corresponded to the innocent act. Finally, all groups completed the aIAT. Across experiments, we varied the type of aIAT used and also compared the effectiveness of the false alibi countermeasure when only imagined once, versus when it was repeatedly imagined over a week-long period. The aIAT accurately detected the mock crime as true for guilty participants without a false alibi, but was consistently less able to detect the mock crime as true for guilty participants who had imagined a false alibi. The findings suggest that if guilty suspects fabricate an alibi, this may create a memory for the alibi that appears to be true based on the aIAT, which is problematic for its real-life applications in concealed memory detection. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Polygraph Accuracy of Control Question Test in Criminal Cases

Objective To explore polygraph accuracy of Control Question Test （CQT）and whether it could be influenced by examinee's education level and type of violation of law. Methods Real cases of CQT （n=104） and the data from MAO （n=296） were collected. The polygraph accuracy of CQT was calculated. Variance analysis on three groups of different education levels was used to compare their age, and then the chi-square test was employed to compare polygraph accuracy among the groups. Independent sample t test was used to compare the age of subjects in the two groups of different types of violation of law, and then chi-square test was used to compare the true positive rate and true negative rate of lie detection after integration. Results In CQT lie detection of criminal cases, the true positive rate was 87.00%, the false negative rate was 13.00%, the true negative rate was 82.20%, and the false positive rate was 17.80%. There was no statistical significance in the differences between the true positive rate and the true negative rate （P>0.05）. In CQT lie detection of the groups of different education levels, there was no statistical significance in the differences between the true positive rates （P>0.05） while the differences between the true negative rates had statistical significance （P<0.05）. There was no statistical significance in the differences of both the true positive rates and the true negative rates between the violent violation of law and non-violent violation of law （P>0.05）. Conclusion There is no significant difference between the efficiency of CQT lie detection of identifying criminals and excluding innocents. However, a comparatively high false positive rate and false negative rate still exist. The efficiency of CQT lie detection identifying criminals may not influenced by the examinee's education level and type of violation of law, but its efficiency of excluding innocents may be influenced by the examinee's education level.

Different physiological reactions when observing lies versus truths: Initial evidence and an intervention to enhance accuracy

Humans consistently face the challenge of discerning liars from truth-tellers. Hundreds of studies in which observers judge the veracity of laboratory-created lies and truths suggest that this is a difficult task; in this context, lie-detection accuracy is notoriously poor. Challenging these findings and traditional methodologies in lie-detection research, we draw upon the somatic marker hypothesis and research on interoception to find that: (a) people experience physiological reactions indicating increased sympathetic arousal while observing real, high-stakes lies (vs. truths), and (b) attending to these physiological reactions may improve lie-detection accuracy. Consistent with the tipping point framework, participants demonstrated more physiological arousal and vasoconstriction while observing real crime liars versus truth-tellers, but not mock crime liars versus truth-tellers (Experiment 1; N = 48). Experiment 2 replicated this effect in a larger sample of participants (N = 169). Experiment 3 generalized this effect to a novel set of stimuli; participants demonstrated more physiological arousal to game show contestants who lied (vs. told the truth) about their intention to cooperate in a high-stakes economic game (N = 71). In an intervention study (Experiment 4; N = 428), participants were trained to attend to their physiological signals; lie-detection accuracy increased relative to a control condition. Experiment 5 (N = 354) replicated this effect, and the addition of a bogus training condition suggested that increased accuracy was not simply attributable to self-focused attention. Findings highlight the limitations of relying on laboratory-created lies to study human lie-detection and suggest that observers have automatic, physiological reactions to being deceived. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Security protection using two different image shadows with authentication

Security protection using two different image shadows with authentication.

Current status of forensic lie detection with the comparison question technique: An update of the 2003 National Academy of Sciences report on polygraph testing

Fifteen years have elapsed since a report was released by the National Academy of Sciences (NAS) on the scientific status of polygraph testing. The NAS report concluded that the scientific basis of the comparison question technique (CQT) was weak, the extant research was of low quality, the polygraph profession's claims for the high accuracy of the CQT were unfounded, and, although the CQT has greater than chance accuracy, its error rate is unknown. Polygraph proponents argue that current research indicates that the CQT has 90% or better accuracy, the National Research Council of the National Academy of Sciences' (2003) analysis supports this accuracy claim, and the CQT qualifies as legally admissible scientific evidence. We review the scientific literature that has appeared since the appearance of the NAS publication, including a new method for estimating polygraph accuracy. We show that the NAS report has been misrepresented and misinterpreted by those who support use of the CQT in forensic settings. We conclude that the quality of research has changed little in the years elapsing since the release of the NAS report, and that the report's landmark conclusions still stand. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The detection of faked identity using unexpected questions and mouse dynamics

The detection of faked identities is a major problem in security. Current memory-detection techniques cannot be used as they require prior knowledge of the respondent’s true identity. Here, we report a novel technique for detecting faked identities based on the use of unexpected questions that may be used to check the respondent identity without any prior autobiographical information. While truth-tellers respond automatically to unexpected questions, liars have to “build” and verify their responses. This lack of automaticity is reflected in the mouse movements used to record the responses as well as in the number of errors. Responses to unexpected questions are compared to responses to expected and control questions (i.e., questions to which a liar also must respond truthfully). Parameters that encode mouse movement were analyzed using machine learning classifiers and the results indicate that the mouse trajectories and errors on unexpected questions efficiently distinguish liars from truth-tellers. Furthermore, we showed that liars may be identified also when they are responding truthfully. Unexpected questions combined with the analysis of mouse movement may efficiently spot participants with faked identities without the need for any prior information on the examinee.

Detecting deception in children: A meta-analysis

Although research reveals that children as young as 3 can use deception and will take steps to obscure truth, research concerning how well others detect children's deceptive efforts remains unclear. Yet adults regularly assess whether children are telling the truth in a variety of contexts, including at school, in the home, and in legal settings, particularly in investigations of maltreatment. We conducted a meta-analysis to synthesize extant research concerning adults' ability to detect deceptive statements produced by children. We included 45 experiments involving 7,893 adult judges and 1,858 children. Overall, adults could accurately discriminate truths/lies at an average rate of 54%, which is slightly but significantly above chance levels. The average rate at which true statements were correctly classified as honest was higher (63.8%), whereas the rate at which lies were classified as dishonest was not different from chance (47.5%). A small positive correlation emerged between judgment confidence and judgment accuracy. Professionals (e.g., social workers, police officers, teachers) slightly outperformed laypersons (e.g., college undergraduates). Finally, exploratory analyses revealed that the child's age did not significantly affect the rate at which adults could discriminate truths/lies from chance. Future research aimed toward improving lie detection accuracy might focus more on individual differences in children's lie-telling abilities in order to uncover any reliable indicators of deception. (PsycINFO Database Record

Exploring time- and frequency- dependent functional connectivity and brain networks during deception with single-trial event-related potentials

To better characterize the cognitive processes and mechanisms that are associated with deception, wavelet coherence was employed to evaluate functional connectivity between different brain regions. Two groups of subjects were evaluated for this purpose: 32 participants were required to either tell the truth or to lie when facing certain stimuli, and their electroencephalogram signals on 12 electrodes were recorded. The experimental results revealed that deceptive responses elicited greater connectivity strength than truthful responses, particularly in the θ band on specific electrode pairs primarily involving connections between the prefrontal/frontal and central regions and between the prefrontal/frontal and left parietal regions. These results indicate that these brain regions play an important role in executing lying responses. Additionally, three time- and frequency-dependent functional connectivity networks were proposed to thoroughly reflect the functional coupling of brain regions that occurs during lying. Furthermore, the wavelet coherence values for the connections shown in the networks were extracted as features for support vector machine training. High classification accuracy suggested that the proposed network effectively characterized differences in functional connectivity between the two groups of subjects over a specific time-frequency area and hence could be a sensitive measurement for identifying deception.

More Polygraph Futility: A Comment on Jensen, Shafer, Roby, and Roby (2015)

This article takes a critical look at the recent Jensen, Shafer, Roby, and Roby study that found that juveniles and adults have no statistically significant different rates of passing sexual history polygraph examinations. Numerous research and statistical issues are identified, including lack of independence, no adjustment for differing rates of opportunity across ages, poor construct validity of deceit, failure to adjust for base rates of deceit in subsequent analyses, and failure to include recidivism as an outcome. In addition, three arguments made by Jensen et al. against using recidivism as an outcome to judge post-conviction polygraph are discussed along with critical assessments of two recent studies examining the relationship between recidivism and sexual history polygraph examinations. It ends with a discussion of the current state of post-conviction polygraph testing research and way forward to find solid, replicable evidence that assesses its utility as a correctional intervention.

Experienced and novice officers' generalized communication suspicion and veracity judgments

Deception detection research has shown that police officers are less truth-biased and make their veracity judgments with greater confidence than do nonofficers. Here we examined nonofficers, novice officers, and experienced officers' response bias, confidence, and generalized communicative suspicion. In Experiment 1, novice officers aligned with nonofficers in terms of both generalized communicative suspicion scores and confidence, with both these groups scoring lower than experienced officers. Generalized communicative suspicion scores and veracity judgments were not significantly related for either sample. However, novice officers aligned with experienced officers in terms of judgments: both police groups were lie-biased, whereas nonofficers were truth-biased. These findings suggest that unlike experienced officers, who have embraced the police culture to a greater degree, novice officers are not dispositionally suspicious (generalized communicative suspicion); however, they are able to mirror the prototypical police behavior (deception judgments) in police-related contexts. Experiment 2 supported these notions.

Adults' Detection of Deception in Children: Effect of Coaching and Age for Children's True and Fabricated Reports of Injuries

A total of 1,074 undergraduates judged the truthfulness of children's interviews (from verbatim transcripts) about experiencing injuries serious enough to require hospital emergency room treatment. Ninety-six children (three age groups: 5-7, 8-10, and 11-14 years, 50% girls) were interviewed. At each age, 16 children told truthful accounts of actual injury experiences and 16 fabricated their reports, with half of each group coached by parents for the previous 4 days. Lies by 5- to 7-year-olds, whether coached or not, were detected at above-chance levels. In contrast, 8- to 10-year-olds' accounts that were coached, whether true or not, were more likely to be believed. For 11- to 14-year-olds, adults were less likely to accurately judge lies if they were coached. The believability of children aged 8 or above who were coached to lie is particularly disturbing in light of the finding that participants were more confident in the accuracy of their veracity decisions when judging coached reports.

Are We Modular Lying Cues Detectors? The Answer Is "Yes, Sometimes"

We quickly form first impressions about newly encountered people guiding our subsequent behaviour (approach, avoidance). Such instant judgments might be innate and automatic, being performed unconsciously and independently to other cognitive processes. Lying detection might be subject to such a modular process. Unfortunately, numerous studies highlighted problems with lying detection paradigms such as high error rates and learning effects. Additionally, humans should be motivated doing both detecting others’ lies and disguising own lies. Disguising own lies might even be more challenging than detecting other people’s lies. Thus, when trying to disguise cheating behaviour, liars might display a mixture of disguising (fake) trust cues and uncontrolled lying cues making the interpretation of the expression difficult (perceivers are guessing). In two consecutive online studies, we tested whether seeing an increasing amount (range 0–4) of lying cues (LC) and non-lying cues (NLC) on a standard face results in enhanced guessing behaviour (studies 1 and 2) and that enhanced guessing is accompanied by slower responding (study 2). Results showed that pronounced guessing and slowest responding occurred for faces with an intermediate number and not with the highest number of LC and NLC. In particular, LC were more important than NLC to uncertain lying decisions. Thus, only a few LC may interfere with automatic processing of lying detection (irrespective of NLC), probably because too little lying cue information is yet available.

Using reality monitoring to improve deception detection in the context of the cognitive interview for suspects

Research has found that deception detection accuracy in the context of suspect interrogation hovers around chance levels. Geiselman (2012) adapted the cognitive interview (typically used for witnesses) for use with suspects (CIS) and found that judgments of deception were more accurate than previous interrogation techniques. The current study attempted to use the CIS to improve deception detection with Reality Monitoring (RM: Vrij et al., 2008), which has already been validated in the context of witness statements. One hundred sixty-six undergraduate students were randomly assigned to 2 conditions. In the Truthful condition, participants played a game with a confederate, whereas in the Deceptive condition, participants rehearsed (but did not experience) a synopsis of the game scenario. Participants in the Deceptive condition were also instructed to steal $10 from a confederate's wallet. In both conditions, $10 was purported to be missing and a researcher blind to condition conducted a CIS. Statement veracity was coded using 6 of the RM criteria advanced by Vrij et al. (frequency of visual, auditory, spatial, temporal, cognitive, and affective details). According to results from a MANOVA, truthful and deceptive statements differed significantly on all RM criteria, with the exception of affective details, validating the importance for evaluation of statement veracity (p ≤ .01). Further, a binary logistic regression found that combining the RM criteria together correctly classified 86.6% of statements, χ(²)(6) = 114.4, p < .001, with excellent sensitivity and specificity (.899 and .833, respectively). As well, Visual, Auditory, and Cognitive details uniquely predicted condition. Findings support using RM criteria to detect deception in interviews conducted with the CIS.

Security bound of cheat sensitive quantum bit commitment

Cheat sensitive quantum bit commitment (CSQBC) loosens the security requirement of quantum bit commitment (QBC), so that the existing impossibility proofs of unconditionally secure QBC can be evaded. But here we analyze the common features in all existing CSQBC protocols, and show that in any CSQBC having these features, the receiver can always learn a non-trivial amount of information on the sender's committed bit before it is unveiled, while his cheating can pass the security check with a probability not less than 50%. The sender's cheating is also studied. The optimal CSQBC protocols that can minimize the sum of the cheating probabilities of both parties are found to be trivial, as they are practically useless. We also discuss the possibility of building a fair protocol in which both parties can cheat with equal probabilities.

Sexual history disclosure polygraph outcomes: do juvenile and adult sex offenders differ?

Despite the empirical and theoretical chasm between the opponents and proponents of polygraphy, its use is prominent among sex offender agencies in the United States. However, current research on polygraph examination outcomes among juvenile sex offenders, along with potential differences from their adult counterparts, is scarce and outdated. In the present study, we assess the difference between juvenile and adult sex offenders in terms of the propensity for passing a sexual history disclosure polygraph examination. A sample of 324 sex offenders (86 juveniles and 238 adults) who engaged in a sexual history disclosure polygraph examination as part of their treatment in an Intermountain West sex offender treatment agency was used for the analysis. Results from preliminary and logistic regression analyses indicate that juvenile and adult offenders do not significantly differ in the likelihood of passing a sexual history disclosure polygraph examination. Implications and limitations are discussed.

The "good cop, bad cop" effect in the RT-based concealed information test: exploring the effect of emotional expressions displayed by a virtual investigator

Concealing the possession of relevant information represents a complex cognitive process, shaped by contextual demands and individual differences in cognitive and socio-emotional functioning. The Reaction Time-based Concealed Information Test (RT-CIT) is used to detect concealed knowledge based on the difference in RTs between denying recognition of critical (probes) and newly encountered (irrelevant) information. Several research questions were addressed in this scenario implemented after a mock crime. First, we were interested whether the introduction of a social stimulus (facial identity) simulating a virtual investigator would facilitate the process of deception detection. Next, we explored whether his emotional displays (friendly, hostile or neutral) would have a differential impact on speed of responses to probe versus irrelevant items. We also compared the impact of introducing similar stimuli in a working memory (WM) updating context without requirements to conceal information. Finally, we explored the association between deceptive behavior and individual differences in WM updating proficiency or in internalizing problems (state / trait anxiety and depression). Results indicated that the mere presence of a neutral virtual investigator slowed down participants' responses, but not the appended lie-specific time (difference between probes and irrelevants). Emotional expression was shown to differentially affect speed of responses to critical items, with positive displays from the virtual examiner enhancing lie-specific time, compared to negative facial expressions, which had an opposite impact. This valence-specific effect was not visible in the WM updating context. Higher levels of trait / state anxiety were related to faster responses to probes in the negative condition (hostile facial expression) of the RT-CIT. These preliminary findings further emphasize the need to take into account motivational and emotional factors when considering the transfer of deception detection techniques from the laboratory to real-life settings.

A novel algorithm to enhance P300 in single trials: application to lie detection using F-score and SVM

The investigation of lie detection methods based on P300 potentials has drawn much interest in recent years. We presented a novel algorithm to enhance signal-to-noise ratio (SNR) of P300 and applied it in lie detection to increase the classification accuracy. Thirty-four subjects were divided randomly into guilty and innocent groups, and the EEG signals on 14 electrodes were recorded. A novel spatial denoising algorithm (SDA) was proposed to reconstruct the P300 with a high SNR based on independent component analysis. The differences between the proposed method and our/other early published methods mainly lie in the extraction and feature selection method of P300. Three groups of features were extracted from the denoised waves; then, the optimal features were selected by the F-score method. Selected feature samples were finally fed into three classical classifiers to make a performance comparison. The optimal parameter values in the SDA and the classifiers were tuned using a grid-searching training procedure with cross-validation. The support vector machine (SVM) approach was adopted to combine with an F-score because this approach had the best performance. The presented model F-score_SVM reaches a significantly higher classification accuracy for P300 (specificity of 96.05%) and non-P300 (sensitivity of 96.11%) compared with the results obtained without using SDA and compared with the results obtained by other classification models. Moreover, a higher individual diagnosis rate can be obtained compared with previous methods, and the presented method requires only a small number of stimuli in the real testing application.

Ambivalence, equivocation and the politics of experimental knowledge: a transdisciplinary neuroscience encounter

This article is about a transdisciplinary project between the social, human and life sciences, and the felt experiences of the researchers involved. 'Transdisciplinary' and 'interdisciplinary' research-modes have been the subject of much attention lately--especially as they cross boundaries between the social/humanistic and natural sciences. However, there has been less attention, from within science and technology studies, to what it is actually like to participate in such a research-space. This article contributes to that literature through an empirical reflection on the progress of one collaborative and transdisciplinary project: a novel experiment in neuroscientific lie detection, entangling science and technology studies, literary studies, sociology, anthropology, clinical psychology and cognitive neuroscience. Its central argument is twofold: (1) that, in addition to ideal-type tropes of transdisciplinary conciliation or integration, such projects may also be organized around some more subterranean logics of ambivalence, reserve and critique; (2) that an account of the mundane ressentiment of collaboration allows for a more careful attention to the awkward forms of 'experimental politics' that may flow through, and indeed propel, collaborative work more broadly. Building on these claims, the article concludes with a suggestion that such subterranean logics may be indissociable from some forms of collaboration, and it proposes an ethic of 'equivocal speech' as a way to live with and through these kinds of transdisciplinary experiences.

Efficacy of combining interview techniques in detecting deception related to bio-threat issues

The purpose of this project was to assess the detecting deception efficacy of three well-validated "detecting deception" methods - i.e., forced choice testing (FCT), modified cognitive interviewing (MCI) and autobiographical implicit association testing (aIAT) - when applied to the issue of bio-threat. The detecting deception accuracies of FCT and MCI were 81% and 75%, respectively. Although the aIAT mean response times in block 5 differed significantly between deceptive and truthful persons, the classification accuracy was low. FCT alone reduced the group of 64 persons to 11 and detected 50% of the liars; the false positive rate was 9%. MCI alone reduced the group of 64 to 24 and detected 92% of the liars; the false positive rate was 54%. When FCT was paired with MCI, 75% of liars were detected and the false positive rate was 13%. Forced choice testing and MCI show promise as methods for detecting deception related to bio-threat under low-base-rate conditions. These methods took little time, enhanced the odds of detecting deceptive individuals and exhibited high positive likelihood ratios, suggesting that they have merit as screening tools. The aIAT required more time and was less accurate but may still serve as a useful screening tool.

An evaluation of mandatory polygraph testing for sexual offenders in the United kingdom

This research examined whether a government-initiated pilot project of mandatory polygraph testing would increase the disclosures made by community-supervised sexual offenders in the United Kingdom. The Offender Managers of 332 pilot polygraph sexual offenders and 303 sexual offenders who were receiving usual community supervision were telephoned quarterly, over a 21-month period, to collect information about numbers of clinically relevant disclosures, the seriousness of disclosures made, and actions taken as a result of disclosures. Perceptions of polygraph usefulness were also collected. Offender Managers in the pilot polygraph group-compared to comparison Offender Managers-reported (a) a higher proportion of offenders making at least one disclosure (i.e., 76.5% vs. 51.2% respectively), and (b) that their offenders made more total disclosures overall (Ms = 2.60 vs. 1.25 respectively). The majority of disclosures made by sexual offenders in the polygraph group were associated with the polygraph session itself. Polygraph Offender Managers reported being more likely to take an action that involved increasing supervision, informing a third party, informing Multi-Agency Public Protection Arrangements (MAPPA), changing supervision focus, or issuing a warning to the offender. However, the relative seriousness of disclosures did not appear to differ across groups. In terms of polygraph test results, one third of offenders (most notably those who were higher in risk) failed their first test with "Deception Indicated." This outcome-received on a first test-was most likely to elicit clinically relevant disclosures. Offender Managers described the polygraph as aiding supervision strategies. This research and its associated caveats are discussed.

[Truth curves on soot blackened paper--apparatus-supported lie detection in Graz in the 1920s]

In the 1920s, experiments with apparatus-supported lie detection and registration of expression were conducted at the Criminological Institute of the University of Graz in order to establish a sound methodological basis for testimony research. For this purpose, the criminologist Ernst Seelig used a method of lie detection developed by the psychologist Vittorio Benussi, which focuses on the analysis of breathing. Benussi had stated that the expiration after telling a lie was faster than after telling the truth, but Seelig could not verify this rule in forensic practice. Consequently, this method of lie detection was of no practical use for criminology. Seelig also carried out experiments with the method of registration of expression developed by the psychiatrist Otto Lowenstein. He registered the examinee's thoracic and abdominal breathing and the movements of the extremities with the help of a kymograph. By interpretation of the curves recorded on soot blackened paper, conclusions concerning the mental elements of an offence as well as the existence of certain dispositions and of amnesia should have been made possible. Seelig was convinced of the efficiency of this method. These experiments can be regarded as early attempts at finding not only simple facts but also answers to quasi-metaphysical questions concerning the "true nature" of man with the help of methods based on natural science and modern technology. Thus they are precursors of present-day neuroscience and neuro-imaging.

Frye's Backstory: a tale of murder, a retracted confession, and scientific hubris

The landmark case Frye v. United States is associated with the general-acceptance standard for admissibility of scientific evidence. The standard, still the law in some jurisdictions, has largely been replaced by one based on Federal Rule of Evidence 702. Although it is known from the 1923 Frye opinion's terse wording that the science in question was a systolic blood pressure deception test, the facts behind the case and the story of the device's inventor are rarely discussed. In this article we review the story of the defendant, James Alphonso Frye, and the psychologist, William Moulton Marston, who claimed he could prove that Frye had confessed falsely. The case continues to reverberate whenever scientific evidence makes a claim of finding the truth.

A novel approach for lie detection based on F-score and extreme learning machine

A new machine learning method referred to as F-score_ELM was proposed to classify the lying and truth-telling using the electroencephalogram (EEG) signals from 28 guilty and innocent subjects. Thirty-one features were extracted from the probe responses from these subjects. Then, a recently-developed classifier called extreme learning machine (ELM) was combined with F-score, a simple but effective feature selection method, to jointly optimize the number of the hidden nodes of ELM and the feature subset by a grid-searching training procedure. The method was compared to two classification models combining principal component analysis with back-propagation network and support vector machine classifiers. We thoroughly assessed the performance of these classification models including the training and testing time, sensitivity and specificity from the training and testing sets, as well as network size. The experimental results showed that the number of the hidden nodes can be effectively optimized by the proposed method. Also, F-score_ELM obtained the best classification accuracy and required the shortest training and testing time.

The (f)utility of post-conviction polygraph testing

The apparent utility of the polygraph to work both as a treatment and supervision aid and as a deterrent for future offending is cited as ample justification for its use. This article examines these claims to demonstrate that although post-conviction polygraph testing may have some utility by increasing disclosures of prior offending and, within specific cases, admissions of treatment and supervision violations, the limited evidence accumulated thus far does not adequately ascertain its accuracy nor support its efficacy or effectiveness as a deterrent. The article concludes with recommendations for creating a real evidentiary base beyond polygraph testing's apparent ability to elicit more information from offenders to evidence that can determine whether it is efficacious and effective in reducing criminality and deviance.

[Non-contact measurement of eye movements in the detection of deception]

The effectiveness of detecting deception by measuring eye movements without making contact was investigated. A deception-detection protocol was used with two conditions based on the stimulus similarity to the critical image. Volunteer participants (N = 63) were randomly assigned to either the high or the low-similarity condition. They were randomly presented with critical and non-critical images and their eye movements were measured without contact. High-similarity images were presented in the high-similarity condition and low-similarity images were presented in the low-similarity condition. The results showed no significant differences in eye movements between the critical and non-critical images in the high-similarity condition. In contrast, in the low-similarity condition, the frequency and total length of time for glancing at critical images were significantly lower than for glancing at non-critical images. These results are suggestive of the effectiveness of the non-contact measurement of eye movements for the detection of deception.

Can you catch a liar? How negative emotions affect brain responses when lying or telling the truth

The capacity to deceive others is a complex mental skill that requires the ability to suppress truthful information. The polygraph is widely used in countries such as the USA to detect deception. However, little is known about the effects of emotional processes (such as the fear of being found guilty despite being innocent) on the physiological responses that are used to detect lies. The aim of this study was to investigate the time course and neural correlates of untruthful behavior by analyzing electrocortical indexes in response to visually presented neutral and affective questions. Affective questions included sexual, shameful or disgusting topics. A total of 296 questions that were inherently true or false were presented to 25 subjects while ERPs were recorded from 128 scalp sites. Subjects were asked to lie on half of the questions and to answer truthfully on the remaining half. Behavioral and ERP responses indicated an increased need for executive control functions, namely working memory, inhibition and task switching processes, during deceptive responses. Deceptive responses also elicited a more negative N400 over the prefrontal areas and a smaller late positivity (LP 550–750 ms) over the prefrontal and frontal areas. However, a reduction in LP amplitude was also elicited by truthful affective responses. The failure to observe a difference in LP responses across conditions likely results from emotional interference. A swLORETA inverse solution was computed on the N400 amplitude (300–400 ms) for the dishonest – honest contrast. These results showed the activation of the superior, medial, middle and inferior frontal gyri (BA9, 11, 47) and the anterior cingulate cortex during deceptive responses. Our results conclude that the N400 amplitude is a reliable neural marker of deception.

[Effects of false memories on the Concealed Information Test]

The effects of false memories on polygraph examinations with the Concealed Information Test (CIT) were investigated by using the Deese-Roediger-McDermott (DRM) paradigm, which allows participants to evoke false memories. Physiological responses to questions consisting of learned, lure, and unlearned items were measured and recorded. The results indicated that responses to lure questions showed critical responses to questions about learned items. These responses included repression of respiration, an increase in electrodermal activity, and a drop in heart rate. These results suggest that critical response patterns are generated in the peripheral nervous system by true and false memories.

Social indicators of deception

OBJECTIVE

This study addresses a practical homeland security issue of considerable current concern: In a situation in which the opportunity exists to question or interview concurrently two or more suspects, how does one determine truth or deception at a social level?

BACKGROUND

Recent world events have led to an increased emphasis on the capacity to detect deception, especially in military, security, and law enforcement settings. In many screening or checkpoint situations, the opportunity exists to question two or more suspects regarding their involvement in some activity, yet investigators know very little regarding characteristics of speech or behavior that are exhibited between two suspects that indicate truth or deception.

METHOD

We conducted an empirical study in which pairs of police officers and firefighters who had served together as partners took part. In the "truth" conditions, each dyad described a recent event in which they had actually taken part, and in the "deceptive" conditions, each dyad fabricated a story that did not take place. We expected that the officers in the truth-telling dyads would be able to draw on shared or transactive memory of the actual event they had participated in and would describe this event in a more interactive manner than would those in deceptive dyads.

RESULTS

Results indicated greater evidence of synchrony of behavior as well as more interactive behaviors, such as mutual gaze and speech transitions, in truthful dyads than in deceptive dyads.

CONCLUSION

This research provides a unique perspective on detecting deception in a social context, and the results have both theoretical and practical value.

APPLICATION

These results can inform training programs and refine strategies used by screeners in field settings.

The eyes don't have it: lie detection and Neuro-Linguistic Programming

Proponents of Neuro-Linguistic Programming (NLP) claim that certain eye-movements are reliable indicators of lying. According to this notion, a person looking up to their right suggests a lie whereas looking up to their left is indicative of truth telling. Despite widespread belief in this claim, no previous research has examined its validity. In Study 1 the eye movements of participants who were lying or telling the truth were coded, but did not match the NLP patterning. In Study 2 one group of participants were told about the NLP eye-movement hypothesis whilst a second control group were not. Both groups then undertook a lie detection test. No significant differences emerged between the two groups. Study 3 involved coding the eye movements of both liars and truth tellers taking part in high profile press conferences. Once again, no significant differences were discovered. Taken together the results of the three studies fail to support the claims of NLP. The theoretical and practical implications of these findings are discussed.

Lying and executive control: an experimental investigation using ego depletion and goal neglect

This study investigated whether lying requires executive control using a reaction-time based lie test. We hypothesized that (1) goal neglect induced by a long response-stimulus interval (RSI; 5-8s) would make lying harder relative to a short RSI (.2 s) that promoted attentional focus, and (2) participants whose executive control resources were depleted by an initial executive control task would experience more difficulty to lie than control participants who performed a task that required little executive control. Across two experiments, the ego depletion manipulation did not reliably affect lying. Both experiments revealed that the cognitive cost associated with lying was larger for the long compared to the short RSI. This finding supports the idea that lying requires more executive control than truth telling. The manipulation of RSI may provide a simple, yet effective means to improve lie detection accuracy.

False-evidence ploys and interrogations: mock jurors' perceptions of false-evidence ploy type, deception, coercion, and justification

We studied mock jurors' evaluations of police false-evidence ploys across two false-evidence ploy information conditions (true or false confession). Study 1 participants evaluated lists of demeanor, testimonial, and scientific ploys and rated testimonial false-evidence ploys as more coercive than demeanor false-evidence ploys. Participants in the false-confession condition rated false-evidence ploys as more deceptive than did participants in the true-confession condition. Study 2 participants evaluated false-evidence ploy types within interrogation transcripts. Participants rated testimonial false-evidence ploys as more deceptive and coercive than demeanor false-evidence ploys; participants in the true-confession condition rated false-evidence ploys as more justified. Across studies, participants reading realistic transcripts rated false-evidence ploys as more deceptive and coercive. We discuss implications for scholars, attorneys, and interrogators.

[Studies on the ERP underlying premeditated and temporary deception]

The event-related potential (ERP) P300 was recorded to analyze the temporal sequences character and the P300 compositions in premeditated and temporary deception. When 15 healthy undergraduates watched the stolen, familiar but not stolen and strange object pictures, the reaction time was recorded and EEG data were collected to analyze the amplitudes of N1, N2 and P3 sub-component of P300 in honesty and deception group respectively through analog theft paradigm. The results showed that the amplitudes of N1, N2 and P3 in premeditated deception group were markedly larger than those in temporary deception, and the reaction time of deception group was longer than that of honesty group. Compared with temporary deception, more attention resources were invested and intensely response conflict was induced by premeditated deception.