Psychology Commons^™

This study explored whether children’s (N=158; 4-9 years-old) nonverbal facial expressions can be used to identify when children are being deceptive. Using a computer vision program to automatically decode children’s facial expressions according to the Facial Action Coding System, this study employed machine learning to determine whether facial expressions can be used to discriminate between children who concealed breaking a toy(liars) and those who did not break a toy(nonliars). Results found that, regardless of age or history of maltreatment, children’s facial expressions could accurately (73%) distinguished between liars and nonliars. Two emotions, surprise and fear, were more strongly expressed by …

The putative confession instruction (“[suspect] told me everything that happened and wants you to tell the truth”) during forensic interviews with children has been shown to increase the accuracy of children’s statements, but it is unclear whether adult’s perceptions are sensitive to this salutary effect. The present study examined how adults perceive children’s true and false responses to the putative confession (PC) instruction. Participants (n = 299) watched videotaped interviews of children and rated the child’s credibility and the truthfulness of his/her statements. When viewing children’s responses to the PC instruction, true and false statements were rated as equally credible, …