Decoupling Children’s Gender-based In-Group Positivity from Out-Group Negativity

In the current study we attempted to determine whether children’s gender-based intergroup biases reflect positive attitudes toward the in-group and/or negative attitudes toward the out-group. Third through fifth grade children were asked to determine whether positive and negative traits described boys, girls, both genders, or nobody. This methodology allowed for separate evaluation of in-group favoritism and out-group derogation. Girls and children who perceived their gender as important viewed their in-group as having more positive than negative attributes and more positive and less negative attributes than the out-group. Boys and children who viewed gender as less important viewed both genders as having more positive than negative attributes. These results support Brewer’s (Journal of Social Issues 55:429–444, 1999) claim that in-group love and out-group hate are not reciprocally related.     

Group cognition,membership change,and performance: Investigating the benefits and detriments of collective knowledge

This study analyzes the effects of group membership change on group cognition and performance to determine how groups can simultaneously leverage oldtimers’ collective knowledge and a newcomer’s expertise. Our analysis focuses specifically on the interrelated effects of the two components of a transactive memory system (TMS)—TMS structure and TMS processes—to explain the cognitive mechanisms through which membership change affects group performance. Results from a laboratory study show that groups that experience partial membership change tend to rely on the TMS structure that oldtimers developed in their original group, and that doing so is ultimately detrimental to performance because it creates inefficient TMS processes. Results from a supplemental study indicate that these TMS process inefficiencies can be avoided when oldtimers are instructed to reflect upon their collective knowledge prior to task execution. We discuss the implications for managing group cognition in organizations where membership change is prevalent.     

Age and culture modulate object processing and object—scene binding in the ventral visual area

Behavioral differences in the visual processing of objects and backgrounds as a function of cultural group are well documented. Recent neuroimaging evidence also points to cultural differences in neural activation patterns. Compared with East Asians, Westerners’ visual processing is more object focused, and they activate neural structures that reflect this bias for objects. In a recent adaptation study, East Asian older adults showed an absence of an object-processing area but normal adaptation for background areas. In the present study, 75 young and old adults (half East Asian and half Western) were tested in an fMR-adaptation study to examine differences in object and background processing as well as object—background binding. We found equivalent background processing in the parahippocampal gyrus in all four groups, diminished binding processes in the hippocampus in elderly East Asians and Westerners, and diminished object processing in elderly versus young adults in the lateral occipital complex. Moreover, elderly East Asians showed significantly less adaptation response in the object areas than did elderly Westerners. These findings demonstrate the malleability of perceptual processes as a result of differences in cohort-specific experiences or in cultural exposure over time.     

The Cognitive Architecture of Perceived Animacy: Intention,Attention, and Memory

Human vision supports social perception by efficiently detecting agents and extracting rich information about their actions, goals, and intentions. Here, we explore the cognitive architecture of perceived animacy by constructing Bayesian models that integrate domain‐specific hypotheses of social agency with domain‐general cognitive constraints on sensory, memory, and attentional processing. Our model posits that perceived animacy combines a bottom–up, feature‐based, parallel search for goal‐directed movements with a top–down selection process for intent inference. The interaction of these architecturally distinct processes makes perceived animacy fast, flexible, and yet cognitively efficient. In the context of chasing, in which a predator (the “wolf”) pursues a prey (the “sheep”), our model addresses the computational challenge of identifying target agents among varying numbers of distractor objects, despite a quadratic increase in the number of possible interactions as more objects appear in a scene. By comparing modeling results with human psychophysics in several studies, we show that the effectiveness and efficiency of human perceived animacy can be explained by a Bayesian ideal observer model with realistic cognitive constraints. These results provide an understanding of perceived animacy at the algorithmic level—how it is achieved by cognitive mechanisms such as attention and working memory, and how it can be integrated with higher‐level reasoning about social agency.