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Behavioral Indicators of Deception and Associated Mental States: Scientific Myths and Realities

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Abstract

We suggest a reconsideration of broad and sweeping claims that research has demonstrated that nonverbal behavior (NVB) are not indicators of deception. We reexamine several methodological characteristics of a seminal meta-analysis that is often cited as non-evidence and caution the field from drawing overgeneralized conclusions about the role of NVB as indicators of deception based on that reexamination. We review studies since then that have provided ample evidence for NVB to provide such information, and then offer additional considerations about this topic to provide additional context. Our views are based on the nature of evolved human communication mechanisms, the complexity of mental contents, and differences between unconscious and conscious mediation of behavior and words.

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Fig. 1

Source: Matsumoto and Hwang (2018b). Note: Error bars are SEs. The Y-axis refers to combined number of coded negative facial expressions of emotions (i.e., combined frequencies of anger, contempt, disgust, fear, and sad expressions)

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Notes

  1. Hartwig and Bond (2014) conducted a meta-analysis and concluded that contextual issues such as those we raise here did not affect the ability for NVB to differentiate truthtellers from liars. Their meta-analysis, however, focused on an analysis of multiple NVB cues in a multi-channel, multimodal approach, which is different than what DePaulo et al. (2003) did and which we discuss more below.

  2. To be sure, examining multiple NVB as predictors of any mental state will produce better fitting models than examining single NVB because of the larger number of predictors, raising reasonable concerns about increased Type I error. This problem is compounded when sample sizes do not have sufficient power and findings based on many multivariate procedures are optimized for individual data sets, which leads to concerns about replicability and generalizability. Some procedures exist to mitigate but not necessarily eliminate such concerns (e.g., recomputing analyses using randomized data). Matsumoto and Wilson (2023) discuss this and other methodological issues associated with examinations of multiple NVB.

  3. Microexpressions were operationalized as expressions occurring ≤ .50 s based on previous findings documenting the timing of normal, spontaneous facial expressions of emotion occurring between .67 and 4.00 s (Ekman & Fridlund, 1987; Ekman et al., 1980; Ekman et al., 1998; Frank et al., 1993).

  4. Other studies that also examined microexpressions expressed at less than .20 s also produced suggestive but equivocal results concerning the ability for microexpressions to differentiate truthtellers from liars (ten Brinke et al., 2012a, 2012b).

  5. As with NVB, abundant caution should be applied when considering the diagnosticity of cognitive cues to deception. For instance, in discussing a review of these cues by Vrij and Granhag (2012), Frank and Svetieva (2012) wrote (p. 132):

    “The accuracy results for the studies cited by V&G are not very different from accuracy levels reported in the traditional deception literature. For example, the ‘telling the story backward’ technique produced 58% overall accuracy, versus 46% for the control (Vrij et al., 2008); asking a person to ‘look you in the eye’ was not diagnostic when judges saw audiovisual presentations of the lies and truths, but was diagnostic when judges heard audio only presentations—but again that difference was meek—54% versus 50% (Vrij et al., 2010). Likewise, when asked to draw an image related to things seen by a truth teller but not a liar, the unanticipated questions showed no discriminability between liars and truth tellers in their spoken accounts, although the drawings they produced of the scene were strongly diagnostic (over 80%; Vrij et al., 2009)”.

  6. The notion of a one-to-one correspondence between a behavioral indicator of deception itself may be a straw-person ala Pinocchio. Our position is that such indicators exist but none with a one-to-one correspondence with veracity or deception.

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Both authors discussed the content of the paper. The first author then created the first draft of the paper, and both authors subsequently contributed equally to the revision of the manuscript to final.

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Correspondence to David Matsumoto.

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The author(s) are employees of Humintell, a company that engages in research and training related to behavioral indicators of mental states and deception.

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Matsumoto, D., Wilson, M. Behavioral Indicators of Deception and Associated Mental States: Scientific Myths and Realities. J Nonverbal Behav 48, 11–23 (2024). https://doi.org/10.1007/s10919-023-00441-w

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