The Effect of Cognitive Load on Deception

Patterson, Terri D.

doi:10.25148/etd.fi09120811

Cited by 8 publications

(15 citation statements)

References 52 publications

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“…Asking examinees to perform a concurrent task during interrogation was a novel approach to load induction tested by Patterson (2010). If lying draws more on attention and working memory than truth telling, then a dual task might interfere more with the former.…”

Section: Lie Detection Via Inducing Cognitive Loadmentioning

confidence: 99%

“…Cognitive scientists have long used this research paradigm to determine when different tasks use a common system or pool of resources (Pashler, 1994; Baddeley, 1996). As a technique for lie detection, it can be used with test items soliciting closed-ended or open-ended responses (Patterson, 2010). Vrij et al (2008a) suggested that examinees could “recall their stories whilst conducting a computer driving simulation task at the same time” (p. 41).…”

Section: A Theoretical Taxonomy Of Cognitive Load-inducing Lie Detectionmentioning

confidence: 99%

“…Of them, Unitary Resource Theory is the one that Patterson (2010) and Vrij et al (2008a) implicitly subscribe to with their proposals. Its basic assumptions are that (a) attentional capacity is a limited general resource that can be assigned to multiple tasks.…”

Section: A Theoretical Taxonomy Of Cognitive Load-inducing Lie Detectionmentioning

confidence: 99%

“…The one that is most problematic for the proposals above concerns “difficulty insensitivity.” Varying the difficulty of a primary task often does not interfere with a concurrent task, which should occur if both are dependent on a central, limited resource. For instance, difficulty insensitivity was apparently the case with Patterson (2010), who found that lying was minimally disruptive of a concurrent math task.…”

Section: A Theoretical Taxonomy Of Cognitive Load-inducing Lie Detectionmentioning

confidence: 99%

See 3 more Smart Citations

Advancing Lie Detection by Inducing Cognitive Load on Liars: A Review of Relevant Theories and Techniques Guided by Lessons from Polygraph-Based Approaches

Walczyk¹,

Igou²,

Dixon³

et al. 2013

Front. Psychology

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This article critically reviews techniques and theories relevant to the emerging field of “lie detection by inducing cognitive load selectively on liars.” To help these techniques benefit from past mistakes, we start with a summary of the polygraph-based Controlled Question Technique (CQT) and the major criticisms of it made by the National Research Council (2003), including that it not based on a validated theory and administration procedures have not been standardized. Lessons from the more successful Guilty Knowledge Test are also considered. The critical review that follows starts with the presentation of models and theories offering insights for cognitive lie detection that can undergird theoretically load-inducing approaches. This is followed by evaluation of specific research-based, load-inducing proposals, especially for their susceptibility to rehearsal and other countermeasures. To help organize these proposals and suggest new direction for innovation and refinement, a theoretical taxonomy is presented based on the type of cognitive load induced in examinees (intrinsic or extraneous) and how open-ended the responses to test items are. Finally, four recommendations are proffered that can help researchers and practitioners to avert the corresponding mistakes with the CQT and yield new, valid cognitive lie detection technologies.

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Section: Lie Detection Via Inducing Cognitive Loadmentioning

confidence: 99%

Section: A Theoretical Taxonomy Of Cognitive Load-inducing Lie Detectionmentioning

confidence: 99%

Section: A Theoretical Taxonomy Of Cognitive Load-inducing Lie Detectionmentioning

confidence: 99%

Section: A Theoretical Taxonomy Of Cognitive Load-inducing Lie Detectionmentioning

confidence: 99%

See 2 more Smart Citations

Advancing Lie Detection by Inducing Cognitive Load on Liars: A Review of Relevant Theories and Techniques Guided by Lessons from Polygraph-Based Approaches

Walczyk¹,

Igou²,

Dixon³

et al. 2013

Front. Psychology

View full text Add to dashboard Cite

show abstract

“…Based on the premises that lying draws more on attention and working memory than does truth-telling, and that a concurrent task might interfere more with the former, dual-tasking was applied in lie-detection; e.g., performing a concurrent math task during the interview task (Patterson, 2009). However, the findings were weak; and this is believed to be related to the lack of theoretical rationale for the choice of the concurrent task (Walczyk et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Measuring the cognitive resources consumed per second for real-time lie-production and recollection: a dual-tasking paradigm

Huang

et al. 2015

Front. Psychol.

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This research report presents a novel method of dual-tasking lie-detection. Novel software “Follow Me” was invented for a concurrent eye-hand coordination task during truth-telling/lying. Undergraduate participants were instructed to tell truths on questions about undergraduate school whereas they were instructed to tell lies on interview questions about graduate school, pretending they were graduate students. Throughout the experiment, they operated the “Follow Me” software: moving the mouse pointer to follow a randomly-moving dot on a computer screen. The distance between the mouse pointer tip and the dot center was measured by the software every 50 ms. Frequency of distance fluctuation was analyzed as the index of cognitive effort consumed per second (i.e., “degree of cognitive effort”). The results revealed that the dominant frequency of distance fluctuation was significantly lower during encoding than during retrieving responses; and lower during lying than truth-telling. Thus, dominant frequency of distance fluctuation may be an effective index of cognitive effort. Moreover, both encoding and retrieving bald-faced lies were more cognitively effortful than truth-telling. This novel definition and measurement of degree of cognitive effort may contribute to the research field of deception as well as to many other fields in social cognition.

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Does Practice Make the Perfect Liar? The Effect of Rehearsal and Increased Cognitive Load on Cues to Deception

Gawrylowicz

Fairlamb

Tantot

et al. 2015

Applied Cognitive Psychology

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Recent studies have explored ways to increase cognitive load in liars to identify cues to deception. This study used a driving simulator as a load-inducing technique to explore differences between truth-tellers and liars during an investigative interview scenario and also investigated the effect of rehearsing lies in this context. Deception affected driving performance. Truthtellers drove more slowly compared with their own baseline, whereas unrehearsed liars sped up. There was no difference in speed between truth-tellers and rehearsed liars. In addition, truth-tellers had significantly faster reaction times compared with their own baseline, than both rehearsed and unrehearsed liars. During the interviews, truth-tellers provided significantly more visual and auditory details and mentioned significantly fewer cognitive operations than liars. The findings add to the body of literature exploring the optimal relationship between cognitive load and secondary task performance to identify cues to deception. Copyright

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The Effect of Cognitive Load on Deception

Cited by 8 publications

References 52 publications

Advancing Lie Detection by Inducing Cognitive Load on Liars: A Review of Relevant Theories and Techniques Guided by Lessons from Polygraph-Based Approaches

Advancing Lie Detection by Inducing Cognitive Load on Liars: A Review of Relevant Theories and Techniques Guided by Lessons from Polygraph-Based Approaches

Measuring the cognitive resources consumed per second for real-time lie-production and recollection: a dual-tasking paradigm

Does Practice Make the Perfect Liar? The Effect of Rehearsal and Increased Cognitive Load on Cues to Deception

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