Abstract
A sample of judges with different ages (children, young adults and adults) as well as a sample of actors (young adults) was required to participate in a deception detection study. Judges were required to evaluate 16 videos where a person might be lying or not lying about a video content. The study sought to look over three aspects of judges’ accuracy judgments related to deception detection (discrimination, calibration and global error) by using calibration graphs. Results showed that some children outperformed adults by better estimating the probabilities of being deceived but they performed the same as both adult groups at discriminating those actors who lied from those who did not lie. It is argued that since children have not been sufficiently exposed to cultural factors related to deceiving behavior, they have better calibration judgment. Implications to detection deception research are discussed in the paper.
Highlights
A considerable amount of academic reports emphasize our low capacity to detect someone who is lying to us
The current study proposes that even when cognitive determination of cognitive processing underlying judgment to deception detection is fundamental to theory, there is still need for determination of cognitive processing parameters related to accuracy
In order to proceed with the statistical analysis of the study’s data a detection deception index error to each participant was obtained for their calibration and discrimination values
Summary
A considerable amount of academic reports emphasize our low capacity to detect someone who is lying to us. It seems like if we were born to be deceived and human history was plenty of relevant anecdotes of how this incapacity to catch a liar molded the evolution of our society (e.g. kings tricked to be poisoned or Government leaders led into war by deceitful peace agreements (Trovillo, 1939). It has been suggested that tone of voice and cadence of speech allow by themselves a clear footprint for deception detection in humans (Hancock, Thom-Santelli, & Ritchie, 2004; Hauch, Blandón-Gitlin, Massip, & Sporer, 2012) as well as for mechanical lie detectors (Elkins, Derrick, & Gariup, 2012)
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