The purpose of this research was to determine if child eyewitnesses are seen as more or less credible compared with older eyewitnesses and to determine whether the number of descriptive errors made while recalling the appearance of a perpetrator has an influence on perceived credibility of the witness. Mock jurors were given a mock trial that presented a positive identification by an eyewitness where age of the eyewitness (4-, 12-, 20-year-old) and the number of perpetrator descriptor errors (i.e., 0, 3, 6) made by the eyewitness were manipulated. Perceived levels of credibility, accuracy, and determinations of guilt were compared using a self-report questionnaire. Results support the hypothesis that mock jurors perceive eyewitnesses who make fewer errors in descriptions with more integrity (i.e., more credible, reliable, and accurate) and perceive the evidence presented by them (i.e., description of perpetrator and description of events) as more reliable. Overall, adult eyewitnesses are perceived with more integrity than child eyewitnesses.
Visually salient line-up rejection options have not been systematically studied with adult eyewitnesses. We explored the impact of using a non-verbal, salient rejection option on adults' identification accuracy for line-ups containing low-or high-similarity fillers. The non-verbal, salient rejection option had minimal impact on accuracy in low-similarity lineups, but in high-similarity line-ups its inclusion increased correct rejections for target-absent line-ups as well as incorrect rejections in target-present line-ups, relative to a verbal rejection condition. The improved performance in target-absent line-ups suggests that adults, like children, may experience pressure to choose and guess during difficult tasks. This pressure is reduced when a prominent non-verbal rejection option is displayed in the line-up. However, the salient rejection option also appears to increase the attractiveness of avoiding a difficult choice between the target and highly similar fillers. Implications of these findings for the experimental literature and justice system are discussed.
With age, children become increasingly likely to make initial disclosures of transgressions, such as maltreatment, to peers. The present study examined adults’ credibility evaluations of children’s disclosures to peers across two studies. Study 1 examined credibility evaluations when children disclosed (or concealed) to a peer compared to an adult. Study 2 examined credibility ratings when children disclosed consistently or inconsistently across peer and adult interviews. Children were interviewed by a same-age peer and an adult regarding an event where an adult confederate spilled water on a laptop and broke it. In Study 1, participants heard a child interviewed by either a same-age peer or adult. In Study 2, participants heard a child interviewed by both the same-age peer and adult. In both studies, participants evaluated the child’s credibility. Children who disclosed the transgression were rated as significantly less credible than those who concealed the transgression; however, credibility ratings did not differ by whether the child was interviewed by a peer or adult (Study 1). Furthermore, children who concealed the transgression across both interviews were rated as significantly more credible than children who disclosed in both interviews or disclosed to the peer, but not the adult, interviewer (Study 2). The current study provides the first evidence that peer disclosures may hinder children’s credibility and that adults may be hesitant to believe children’s disclosures of an adult’s transgression.
This study explored whether children's (N = 158; 4-to 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%) be distinguished between liars and nonliars. Two emotions, surprise and fear, were more strongly expressed by liars than nonliars. These findings provide evidence to support the use of automatically coded facial expressions to detect children's deception.
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