Detection Of Deceit Research Articles

Social cognition, empathy and functional outcome in schizophrenia

Social and occupational functioning difficulties are a characteristic feature of schizophrenia, and a growing body of evidence suggests that deficits in social cognition contribute significantly to these functional impairments. The present study sought to investigate whether the association between social cognition and social functioning in schizophrenia would be mediated by self-reported levels of empathy. Thirty outpatients with a diagnosis of schizophrenia or schizoaffective disorder, and twenty-five healthy controls completed a well-validated facial affect processing task (Ekman 60-faces facial task from the Facial Expressions of Emotion — Stimuli and Tests; FEEST), The Awareness of Social Inference Test (TASIT; to assess emotion perception and complex social cognitive skills such as the detection of sarcasm and deceit, from realistic social exchanges), and measures of self-reported empathy and social functioning. Participants with schizophrenia performed more poorly than controls in identifying emotional states from both FEEST and TASIT stimuli, and were impaired in their ability to comprehend counterfactual information in social exchanges, including sarcasm and lies, on the TASIT. Impairment in the comprehension of sarcasm was associated with higher empathic personal distress, and lower recreational functioning. Impairment in the identification of the emotions of others was found to be associated with lower satisfaction and lower empathic fantasy. However, empathy could not be explored as a mediator of associations between social cognition and functional outcome, due to lack of common associations with functional outcome measures. These findings have implications for the remediation of specific social cognitive deficits with respect to improving functional outcomes in schizophrenia.

Looking for truth and finding lies: The prospects for a nascent neuroimaging of deception

Lying is ubiquitous and has acquired many names. In ‘natural experiments’, both pathological lying and truthfulness implicate prefrontal cortices. Recently, the advent of functional neuroimaging has allowed investigators to study deception in the non-pathological state. Prefrontal cortices are again implicated, although the regions identified vary across experiments. Forensic application of such technology (to the detection of deceit) requires the solution of tractable technical problems. Whether we ‘should’ detect deception remains an ethical problem: one for societies to resolve. However, such a procedure would only appear to be ethical when subjects volunteer to participate, as might occur during the investigation of alleged miscarriages of justice. We demonstrate how this might be approached.

Imaging Facial Physiology for the Detection of Deceit

Previous work has demonstrated the correlation of increased blood perfusion in the orbital muscles and stress levels for human beings. It has also been suggested that this periorbital perfusion can be quantified through the processing of thermal video. The idea has been based on the fact that skin temperature is heavily modulated by superficial blood flow. Proof of this concept was established for two different types of stress inducing experiments: startle experiments and mock-crime polygraph interrogations. However, the polygraph interrogation scenarios were simplistic and highly constrained. In the present paper, we report results derived from a large and realistic mock-crime interrogation experiment. The interrogation is free flowing and no restrictions have been placed on the subjects. Additionally, we propose a new methodology to compute the mean periorbital temperature signal. The present approach addresses the deficiencies of the earlier methodology and is capable of coping with the challenges posed by the realistic setting. Specifically, it features a tandem CONDENSATION tracker to register the periorbital area in the context of a moving face. It operates on the raw temperature signal and tries to improve the information content by suppressing the noise level instead of amplifying the signal as a whole. Finally, a pattern recognition method classifies stressful (Deceptive) from non-stressful (Non-Deceptive) subjects based on a comparative measure between the entire interrogation signal (baseline) and a critical subsection of it (transient response). The successful classification rate is 87.2% for 39 subjects. This is on par with the success rate achieved by highly trained psycho-physiological experts and opens the way for automating lie detection in realistic settings.

Amygdala activation when one is the target of deceit: Did he lie to you or to someone else?

The ability to figure out whether a person is being honest or deceitful is an important part of social competence. Reactions to deceit may however differ depending on whether one is being deceived oneself or observes a deceitful exchange between others. In the present study, we investigated whether personal involvement influenced the neural responses associated with the detection of deceit. Subjects watched videos of actors lifting a box and judged whether the actors had been misled about the real weight of the box. Personal involvement was manipulated by having the participants themselves among the actors. The critical finding was that there was activity in amygdala and fusiform gyrus only for the condition in which participants observed themselves being deceived. In contrast, the superior temporal sulcus and anterior cingulate cortex were activated irrespective of whether the participants detected that the experimenter had deceived themselves or another. These four brain areas are all interconnected and are part of the discrete neural system subserving social cognition. Our results provide direct evidence, using judgments of deceit in a social context, that the crucial factor for amygdala activation is the involvement of the subjects because they are the target of the deceit. We interpret the activation of the amygdala in this situation as reflecting the greater affective reaction when one is deceived oneself. Our results suggest that when one is personally involved, deceit is taken as a potential threat.

The detection of deception with the reality monitoring approach: a review of the empirical evidence

One of the verbal approaches to the detection of deceit is based on research on human memory that tries to identify the characteristics that differentiate between internal and external memories (reality monitoring). This approach has attempted to extrapolate the contributions of reality monitoring (RM) research to the deception area. In this paper, we have attempted to review all available studies conducted in several countries in order to yield some general conclusions concerning the discriminative power of this approach. Regarding individual criteria, the empirical results are not very encouraging: few criteria discriminate significantly across studies, and there are several variables that moderate their effect. Some of the contradictory findings may have emerged because of differences in the operationalizations and procedures used across individual studies. However, more promising results have been reported in recent studies, and the approach as a whole appears to discriminate above chance level, reaching accuracy rates that are similar to those of criteria-based content analysis (CBCA). Some suggestions for future research are made.

Facial appearance and impressions of ‘credibility’: The effects of facial babyishness and age on person perception

The babyface overgeneralization effect is perceiving that people whose facial features resemble those of children have childlike traits, and treating them accordingly. This experiment sought to replicate the US findings with a South‐European sample, to examine the impact of facial maturity on impressions of truthfulness, and to examine the influence of age on person perception. Three‐hundred and twenty‐four Spanish undergraduates were shown a photograph and had to rate it on a series of behavioural‐tendency and trait scales measuring honesty, truthfulness, strength, dominance, intelligence, naivety, and warmth. The photographs were babyfaced, intermediate, and mature faced computer‐manipulated versions of three pictures of the same individual at three different ages. Results indicate that the experimental manipulations significantly affected most of the dependent variables. Babyfaced individuals were perceived as the most truthful, and children as the most deceitful. However, when the deceit concerned a sexual abuse allegation, children were rated as the least deceitful. These results support the existence of (a) the babyface overgeneralization effect, (b) the stereotype that children are unreliable witnesses, and (c) the belief that children never lie about sexual abuse offenses. They also suggest that facial babyishness and age may be static perceived deception cues that may account for the demeanour bias found in nonverbal research on the detection of deceit.

Detecting Deceit via Analysis of Verbal and Nonverbal Behavior

We examined the hypotheses that (1) a systematic analysis of nonverbal behavior could be useful in the detection of deceit and (2) that lie detection would be most accurate if both verbal and nonverbal indicators of deception are taken into account. Seventy-three nursing students participated in a study about "telling lies" and either told the truth or lied about a film they had just seen. The interviews were videotaped and audiotaped, and the nonverbal behavior (NVB) and speech content of the liars and truth tellers were analyzed, the latter with the Criteria-Based Content Analysis technique (CBCA) and the Reality Monitoring technique (RM). Results revealed several nonverbal and verbal indicators of deception. On the basis of nonverbal behavior alone, 78% of the lies and truths could be correctly classi- fied. An even higher percentage could be correctly classified when all three detec- tion techniques (i.e., NVB, CBCA, RM) were taken into account.

Indicadores aisladosversuspatrón general expresivo en la detección de la mentira

ResumenFrente a planteamientos teóricos clásicos, en relación con el fenómeno de la detección de la mentira, que postulan que la existencia de indicadores no verbales aislados facilitan el reconocimiento de mensajes falsos, este trabajo plantea la existencia de un patrón general de configuración que varía cualitativamente para mensajes verdaderos y falsos. Las condiciones experimentales ideadas para este trabajo (presentación de mensajes falsos, precedidos o no de mensajes verdaderos) permitieron a los sujetos experimentales contrastar las diferencias entre estos patrones, facilitando el reconocimiento de mensajes fraudulentos, siendo las mujeres las que mejor aprovecharon las condiciones facilitadoras.