Time and Encoding Effects in the Concealed Knowledge Test

Seymour, Travis L.; Fraynt, Becky R.

doi:10.1007/s10484-009-9092-3

Cited by 30 publications

(37 citation statements)

References 38 publications

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“…These findings are at odds with other deception studies which have found faster responses when participants were being truthful, compared to when they were producing a false claim (e.g., Kozel et al, 2005; Langleben et al, 2005; Spence et al, 2008; Seymour and Fraynt, 2009). This discrepancy, however, might stem from the realistic experimental paradigm we employed, which may have encouraged some of the participants to attempt to use strategies that would mislead the interrogator.…”

Section: Discussioncontrasting

confidence: 75%

When Pinocchio's nose does not grow: belief regarding lie-detectability modulates production of deception

Sip¹,

Carmel²,

Marchant³

et al. 2013

Front. Hum. Neurosci.

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Does the brain activity underlying the production of deception differ depending on whether or not one believes their deception can be detected? To address this question, we had participants commit a mock theft in a laboratory setting, and then interrogated them while they underwent functional MRI (fMRI) scanning. Crucially, during some parts of the interrogation participants believed a lie-detector was activated, whereas in other parts they were told it was switched-off. We were thus able to examine the neural activity associated with the contrast between producing true vs. false claims, as well as the independent contrast between believing that deception could and could not be detected. We found increased activation in the right amygdala and inferior frontal gyrus (IFG), as well as the left posterior cingulate cortex (PCC), during the production of false (compared to true) claims. Importantly, there was a significant interaction between the effects of deception and belief in the left temporal pole and right hippocampus/parahippocampal gyrus, where activity increased during the production of deception when participants believed their false claims could be detected, but not when they believed the lie-detector was switched-off. As these regions are associated with binding socially complex perceptual input and memory retrieval, we conclude that producing deceptive behavior in a context in which one believes this deception can be detected is associated with a cognitively taxing effort to reconcile contradictions between one's actions and recollections.

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Section: Discussioncontrasting

confidence: 75%

When Pinocchio's nose does not grow: belief regarding lie-detectability modulates production of deception

Sip¹,

Carmel²,

Marchant³

et al. 2013

Front. Hum. Neurosci.

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“…A specialized individual classification procedure that compared participants’ probe and irrelevant RT distributions led to a 0.93 hit rate with no false-alarms. Similar results have been reported in subsequent studies using related CKT test procedures and analyses (Seymour and Kerlin, 2008; Seymour and Fraynt, 2009; Verschuere et al, 2010; Visu-Petra et al, 2011). …”

Section: Introductionsupporting

confidence: 87%

“…This is in contrast to mock-crime procedures during which individual variations in memory, motivation, and attention can lead to the encoding of some probe items but not others (Carmel et al, 2003). Such variations may increase potential external validity, but could lead to the confounding of mock-crime effectiveness and the diagnostic accuracy of the test (Seymour and Fraynt, 2009). …”

Section: Methodsmentioning

confidence: 99%

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Combining Blink, Pupil, and Response Time Measures in a Concealed Knowledge Test

Seymour¹,

Baker²,

Gaunt³

2013

Front. Psychology

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The response time (RT) based Concealed Knowledge Test (CKT) has been shown to accurately detect participants’ knowledge of mock-crime-related information. Tests based on ocular measures such as pupil-size and blink-rate have sometimes resulted in poor classification, or lacked detailed classification analyses. The present study examines the fitness of multiple pupil and blink related responses in the CKT paradigm. To maximize classification efficiency, participants’ concealed knowledge was assessed using both individual test measures and combinations of test measures. Results show that individual pupil-size, pupil-slope, and pre-response blink-rate measures produce efficient classifications. Combining pupil and blink measures yielded more accuracy classifications than individual ocular measures. Although RT-based tests proved efficient, combining RT with ocular measures had little incremental benefit. It is argued that covertly assessing ocular measures during RT-based tests may guard against effective countermeasure use in applied settings. A compound classification procedure was used to categorize individual participants and yielded high hit rates and low false-alarm rates without the need for adjustments between test paradigms and subject populations. We conclude that with appropriate test paradigms and classification analyses, ocular measures may prove as effective as other indices, though additional research is needed.

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“…These physiological responses are controlled by human autonomic nervous system, also be used as a reference lie detection [3].…”

Section: Introductionmentioning

confidence: 99%

Based on physiology parameters to design lie detector

Wang

2010

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)

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Objective-Multi-parameters are employed to design a device of lie detector, including Skin Temperature, electrocardiogram (ECG), Pressure of End-Tidal Carbon Dioxide (PETC02), Oxygen Saturation and other physiologicalparameters. Methods: Skin Temperature is measured by temperature sensor, and it is used to monitor the difference during the lie detection procedure. Standard CMS ECG lead, used to extract the signal of heart rate, re-extracted heart rate variability and other autonomic nervous system characterized by the parameters. Oxygen Saturation and PETC02 detection were tested late changes of respiration and respiratory status.300Hz sampling rate was used to capture the channel signal.Through the low-power microcontroller MSP430, the signal was sent into computer via USB communication. Result: After debugging and verifying, reliable physical parameters can be collected from multi-parameter detection system. It provided a set of physiological information monitoring for the hardware system. Discussion: Signal analysis software needed further design, at the same time adjust the acquisition parameters of front-end signal, and a reasonable configuration, all of them are lay the foundation of software system design. The result shows that the lie detector system based on physiological parameters is cheaper and more convenient than others.Keywords-lie detector; physiology parameters; signal processing I. BACKGROUNDWhen people lie, he can involuntarily produce a certain psychological pressure, which will cause rapid heartbeat, blood pressure, palms sweating, body temperature rose slightly, muscle trembling, respiratory rate and capacity slightly abnormal and a series of physiology responses [1 ,2].These physiological responses are controlled by human autonomic nervous system, also be used as a reference lieThe world's first polygraph is invented by Larson and Keeler in the United States in 1921, by measuring blood pressure, breathing and skin resistance three physiological parameters, use three ink document recorder draw curve, mainly used to detected then some theft, and succeed [4].This also confirmed that psychological a physiological parameters index in polygraph technology has great value. Polygraph-related physiological parameters there are many, such as blood pressure, breathing, pulse, skin electricity, body temperature, sound and so on. Conventional physiological lie detection system mostly chooses three parameters: breathing, blood pressure, and skin resistance. With the development of modern electronic technology, more parameters synchronous detection are feasible [5,6].The lie detection system designed in this paper include: ECG, can be extracted heart rate, heart rate variability (HRV) and other parameters, HRV is the rapid response of autonomic nervous system regulation;, pulse information, blood oxygen content and respiratory oxygen exchange information can be extracted from oxygen saturation signal; PETC02, can detect the breathing status, blood gas exchange; skin temperature signals, and also can detec...

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Time and Encoding Effects in the Concealed Knowledge Test

Cited by 30 publications

References 38 publications

When Pinocchio's nose does not grow: belief regarding lie-detectability modulates production of deception

When Pinocchio's nose does not grow: belief regarding lie-detectability modulates production of deception

Combining Blink, Pupil, and Response Time Measures in a Concealed Knowledge Test

Based on physiology parameters to design lie detector

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