Speed and Accuracy of People's Trustworthiness Judgment across Cultures

Previous research on person perception has shown that people form first impressions with remarkable speed and accuracy, but relatively little is known about the speed and accuracy of trustworthiness judgments across cultures. The present research examined these by asking Chinese and Canadians to infer trustworthiness from faces of criminals and non-criminals from different cultural backgrounds across two domains (i.e., financial crime in Study 1 and violent crime in Study 2). Across both studies, we found that when participants were given time and opportunity, Chinese tended to take a longer time than Canadians to make trustworthiness judgments (although this difference did not reach statistical significance in Study 2). In Study 1, we found that perceivers from both cultures were accurate at judging European North Americans (ENA) corporate criminals as less trustworthy than ENA non-criminal executives, although they did not differentiate Asian corporate criminals from Asian non-criminal executives. In Study 2, we found that perceivers from both cultures were accurate at judging both Asian and ENA violent criminals as less trustworthy than Asian and ENA non-criminals. Chinese were also accurate at rating Middle Eastern violent criminals as less trustworthy than Middle Eastern non-criminals, but Canadians did not differentiate them in terms of their trustworthiness ratings. In terms of their crime likelihood ratings, however, both Chinese and Canadians accurately rated all the criminals as more likely to commit violent crimes than the non-criminals, regardless of the targets’ ethnicities. Finally, we discussed some of the practical implications of our findings on detection of deception, as well as how providing a context for trustworthiness judgments might have played an important role in people’s judgmental accuracy.

Robotic Outcome Assessment in a Non-Human Primate Model of Middle Cerebral Artery Stroke

Stroke is a prevalent disorder with immense socioeconomic impact. A variety of chronic neurological deficits result from stroke. In particular, sensorimotor deficits are a significant barrier to achieving post-stroke independence. Unfortunately, the majority of pre-clinical studies that show improved outcomes in animal stroke models have failed in clinical trials. Pre-clinical studies using non-human primate (NHP) stroke models prior to initiating human trials are a potential step to improving translation from animal studies to clinical trials. Robotic assessment tools represent a quantitative, reliable, and reproducible means to assess reaching behaviour following stroke in both humans and NHPs. We investigated the use of robotic technology to assess sensorimotor impairments in NHPs following middle cerebral artery occlusion (MCAO). Two cynomolgus macaques underwent transient MCAO for 90 minutes. Approximately 1.5 years following the procedure these NHPs and two non-stroke control monkeys were trained in a reaching task with both arms in the KINARM exoskeleton. This robot permits elbow and shoulder movements in the horizontal plane. The task required NHPs to make reaching movements from a centrally positioned start target to 1 of 8 peripheral targets uniformly distributed around the first target. We analyzed four movement parameters: reaction time, movement time (MT), initial direction error (IDE), and number of speed maxima to characterize sensorimotor deficiencies. We hypothesized reduced performance in these attributes during a neurobehavioural task with the paretic limb of NHPs following MCAO compared to controls. Reaching movements in the non-affected limbs of control and experimental NHPs showed bell-shaped velocity profiles. In contrast, the reaching movements with the affected limbs were highly variable. We found distinctive patterns in MT, IDE, and number of speed peaks between control and experimental monkeys and between limbs of NHPs with MCAO. NHPs with MCAO demonstrated more speed peaks, longer MTs, and greater IDE in their paretic limb compared to controls. These initial results qualitatively match human stroke subjects’ performance, suggesting that robotic neurobehavioural assessment in NHPs with stroke is feasible and could have translational relevance in subsequent human studies. Further studies will be necessary to replicate and expand on these preliminary findings.