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Digging Further Into the Speech of Liars: Future Research Prospects in Verbal Lie Detection

机译:进一步探讨说谎者的言语:言语谎言检测的未来研究前景

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The field of verbal lie detection has grown rapidly in the past decade. Derived by the assumption that lies have different content patterns than do truths, research in this area promotes searching for content criteria to detect them. One prime content-based indicator for deception detection, which stems from the Reality Monitoring (RM) theory ( 1 ), is richness in detail . According to RM, truthful memories of actual events originate in perceptual experience and are embedded in the context of time and space. As such, they are expected to include more spatial and temporal contextual attributes (i.e., locations, spatial arrangement of people and objects, times, duration and sequence of events) and perceptual attributes (i.e., what the individual felt, tasted, smelled, heard, or saw when the event took place) than do false memories, which originate in self-generated thought or imagination. Derived from this prediction, the traditional use of richness in detail as an indicator of deception is based on the number of perceptual and contextual details in the interviewee's accounts. However, as a memory source-monitoring theory, RM does not take into consideration the intention of liars to deceive and consequently cannot explain the full scope of richness in detail in the field of deception ( 2 ). In contrast to false memories, where the individual has no intention to deceive but wrongly believes that his/her memory of an event that never happened is truthful, fabricated memories are an outcome of manipulation [and have thus been labeled “self-manipulated memories”; ( 2 )]. Liars frequently attempt to manipulate their fabricated accounts to make them seem truthful ( 3 – 5 ), for example by intentionally adding false perceptual and contextual details ( 6 , 7 ). Affecting the quantity of the details in their fabricated accounts, such strategic manipulations reduce the diagnostic efficacy of the richness in detail indicator. Yet, in the current paper, we aim to show that the same strategies leave traces on the quality of details. Therefore, we propose that to maximize the potential utility of the richness in detail indicator, it is necessary to dig deeper into the speech of liars, particularly by looking for traces of deception strategies found in the quality of the details. In fact, the Verifiability Approach [VA; ( 4 , 8 )] applies this notion. The Verifiability Approach (VA) The VA ( 8 ) for lie detection was initiated based on the understanding that lies, by nature, are based on strategies. The first VA study ( 4 ) clearly demonstrated that lie detection benefits more from consideration of the quality of perceptual and contextual details than it does from consideration of their quantity alone. According to the VA, the strategy employed by liars is guided by the liars' dilemma hypothesis . Specifically, liars perceive richness in detail as an indicator of truthfulness ( 9 , 10 ) and are thus motivated to provide many details to make an impression of honesty ( 7 , 11 ). On the other hand, the provision of details also puts liars at risk, as the truthfulness of the details provided can be checked. Aware of this danger [see ( 6 , 7 )], liars are inclined to avoid mentioning false details, to minimize the chances of being caught. These two contradicting motivations—for and against the provision of details—put liars in a dilemma. A strategy that resolves the conflict involves the provision of details that cannot be checked and verified. When used by liars, this strategy of providing non-verifiable information affects the quantity and quality of the contextual and perceptual details that appear in their accounts. They “inflate” the quantity of detail by incorporating false, non-verifiable, details, and as a result provide accounts that appear closer to the RM prototype of truthful accounts (i.e., accounts rich in perceptual and contextual details). However, their strategy leaves traces in the quality of their accounts, in terms of verifiability. By assessing the quality (i.e., the verifiability of the contextual and perceptual details) rather than the quantity of details provided, it is possible to reveal the liars' strategy, and thereby indicate their lies. In the last years, the validity of the VA, which was originally developed and tested in police interview setting [e.g., ( 4 , 5 , 12 , 13 )] has been examined in other settings including insurance [e.g., ( 14 – 17 )], airport security [see ( 18 , 19 )], occupation [e.g., ( 20 )], and malingering [e.g., ( 21 , 22 )]. Some of these applications were more successful than others, but mostly the VA perspectives were confirmed [for a recent review see ( 23 )], thereby providing an empirical evidence to the profitability of looking for quality of details. Encouraged by the success of the VA, we propose that research in this field should dig further into the speech of liars, in an attempt to identify additional indications of strategies in the quality of details provided. A
机译:在过去十年中,言语谎言检测领域发展迅速。通过假设谎言具有与真理不同的内容模式的假设,这一领域的研究促进了寻找内容标准以检测它们的方法。源自丰富程度(Reality Monitoring,RM)理论(1)的一种基于主要内容的欺骗检测指标是丰富性。根据RM的说法,对真实事件的真实记忆源于感知体验,并嵌入到时间和空间的环境中。因此,预计它们将包括更多的空间和时间上下文属性(即位置,人和物体的空间布置,时间,事件的持续时间和顺序)和感知属性(即个人的感觉,品味,嗅觉,听觉) ,或看到事件发生的时间),而不是错误的记忆,这些错误的记忆源自自我产生的思想或想象力。从这种预测派生出来,传统上将丰富程度作为欺骗手段的传统用途是基于受访者账户中感知和上下文细节的数量。但是,作为记忆源监控理论,RM没有考虑骗子的欺骗意图,因此无法在欺骗领域详细解释丰富性的全部范围(2)。与虚假的记忆相反,在虚假的记忆中,个人无意欺骗,但错误地认为自己对从未发生的事件的记忆是真实的,虚构的记忆是操纵的结果[因此被称为“自我操纵的记忆” ; (2)]。撒谎者经常试图操纵他们的虚假陈述,使其看起来真实(3 – 5),例如有意添加虚假的感知和上下文细节(6、7)。这种策略性操作会影响其伪造帐户中的明细数量,从而降低了明细指示器中丰富度的诊断效力。然而,在当前的论文中,我们旨在证明相同的策略在细节质量上留下了痕迹。因此,我们建议要使详细信息丰富度的潜在效用最大化,有必要更深入地研究撒谎者的言语,尤其是寻找在细节质量中发现的欺骗策略的痕迹。实际上,可验证性方法[VA; ((4,8)]适用这个概念。可验证性方法(VA)用于谎言检测的VA(8)是基于对谎言的理解而发起的,本质上,谎言是基于策略的。 VA的第一项研究(4)清楚地表明,谎言检测的好处更多在于考虑感知和上下文细节的质量,而不是仅仅考虑其数量。根据VA,说谎者所采用的策略是基于说谎者的困境假设的。具体而言,撒谎者将丰富程度视为真实性的指标(9,10),因此有动机提供很多细节以使人感到诚实(7,11)。另一方面,细节的提供也使说谎者处于危险之中,因为可以检查所提供细节的真实性。意识到这种危险[参见(6,7)],说谎者倾向于避免提及虚假的细节,以最大程度地降低被抓住的机会。支持和反对提供细节这两个相互矛盾的动机使骗子陷入了困境。解决冲突的策略涉及提供无法检查和验证的细节。当被骗子使用时,这种提供不可验证信息的策略会影响其帐户中出现的上下文和感知细节的数量和质量。它们通过合并虚假的,不可验证的细节来“充实”详细信息的数量,结果提供的帐户看起来更接近真实帐户的RM原型(即,具有丰富的感知和上下文详细信息的帐户)。但是,他们的策略在可验证性上留下了帐户质量的痕迹。通过评估质量(即上下文和感知细节的可验证性)而不是所提供细节的数量,可以揭示说谎者的策略,从而表明他们的谎言。在最近几年中,最初在警察采访设置中(例如((4,5,12,13))开发和测试的VA的有效性已经在包括保险在内的其他设置中进行了检验(例如((14 – 17)) ],机场安全[请参阅(18,19)],职业[例如,(20)]和诈欺行为[例如,(21,22)]。这些应用中的一些比其他应用更成功,但是大多数VA观点得到了证实[有关最近的综述,请参见(23)],从而为寻找细节质量的盈利能力提供了经验证据。受VA成功的鼓舞,我们建议该领域的研究应进一步挖掘撒谎者的话语,以期从所提供细节的质量中找出策略的其他指示。一种

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