Translating visual information into action predictions: Statistical learning in action and nonaction contexts

Humans are sensitive to the statistical regularities in action sequences carried out by others. In the present eyetracking study, we investigated whether this sensitivity can support the prediction of upcoming actions when observing unfamiliar action sequences. In two between-subjects conditions, we examined whether observers would be more sensitive to statistical regularities in sequences performed by a human agent versus self-propelled ‘ghost’ events. Secondly, we investigated whether regularities are learned better when they are associated with contingent effects. Both implicit and explicit measures of learning were compared between agent and ghost conditions. Implicit learning was measured via predictive eye movements to upcoming actions or events, and explicit learning was measured via both uninstructed reproduction of the action sequences and verbal reports of the regularities. The findings revealed that participants, regardless of condition, readily learned the regularities and made correct predictive eye movements to upcoming events during online observation. However, different patterns of explicit-learning outcomes emerged following observation: Participants were most likely to re-create the sequence regularities and to verbally report them when they had observed an actor create a contingent effect. These results suggest that the shift from implicit predictions to explicit knowledge of what has been learned is facilitated when observers perceive another agent’s actions and when these actions cause effects. These findings are discussed with respect to the potential role of the motor system in modulating how statistical regularities are learned and used to modify behavior.     

Morale and its Components: A Cross-National Comparison1

Two U.S. Army armored cavalry squadrons (N= 660), one in Europe (USAREUR), stationed on the East German border, and one in the continental U.S. (CONUS), were administered an English version of a questionnaire widely used in the Israeli Defence Forces (IDF) to assess morale, cohesion and soldier perception of unit readiness for combat. Analysis of inter-item correlations, including factor analyses, revealed a generally similar structure of morale in the U.S. units and a comparable IDF sample stationed along the Lebanon border (N= 1270). All three data sets were organized around a group factor, a leadership factor, and two individual factors, one personal and one professional. National differences were apparent with regard to the relationship between morale and perceived contribution to national security, confidence in weapons, and confidence in senior commanders. In several other respects the USAREUR unit resembled the IDF sample far more than it resembled its sister unit in the U.S. As a whole the data are consistent with the view that morale has relatively similar determinants across armies, but that both national characteristics and situational characteristics (e.g., proximity to a potential foe and/ or battlefield) play a role in the relative importance of these determinants.     

Seeing bad does good: Relational benefits of accuracy regarding partners’ negative moods

When would greater empathic accuracy (EA) be an asset and when would it not? In two studies of romantic couples (both employing daily diaries, the second also involving a lab-based video-recall paradigm), we explored the associations between EA (at the day-level, person-level, and in the lab) and an important relationship outcome: negative relationship feelings. Our results show that accuracy is tied more strongly to this relational outcome when negative (vs. positive) moods are the target of empathic judgments. The association between accuracy and (better) feelings was true for both perceivers and targets. Importantly, these associations emerged only in diary-based accuracy scores, and not in the lab-based ones. These results further support the importance of everyday empathic accuracy. They also highlight the need to consider such accuracy as multi-faceted, and in particular, to recognize the differential role of attending to our partners’ negative versus positive moods in daily life.     

The Lure of Motherhood

A multivariate exploration of motivations for parenthood in 184 unmarried, childless, female college undergraduates indicated that positive memories of early childhood maternal love, traditional feminine sex-role identification and antifeminist sympathy were the primary unique psychological variables accounting for expressed desire for children. Significantly correlated with parenthood motivation, but not contributing uniquely, were memories of father's loving care, perceptions of maternal success at, and enjoyment of, childrearing, and happiness of childhood. Women from large families (three or more siblings) expressed more desire for children than women from smaller families. Religious affiliation and birth order were not related to motivation.     

Functional connectivity dynamics during film viewing reveal common networks for different emotional experiences

Recent theoretical and empirical work has highlighted the role of domain-general, large-scale brain networks in generating emotional experiences. These networks are hypothesized to process aspects of emotional experiences that are not unique to a specific emotional category (e.g., “sadness,” “happiness”), but rather that generalize across categories. In this article, we examined the dynamic interactions (i.e., changing cohesiveness) between specific domain-general networks across time while participants experienced various instances of sadness, fear, and anger. We used a novel method for probing the network connectivity dynamics between two salience networks and three amygdala-based networks. We hypothesized, and found, that the functional connectivity between these networks covaried with the intensity of different emotional experiences. Stronger connectivity between the dorsal salience network and the medial amygdala network was associated with more intense ratings of emotional experience across six different instances of the three emotion categories examined. Also, stronger connectivity between the dorsal salience network and the ventrolateral amygdala network was associated with more intense ratings of emotional experience across five out of the six different instances. Our findings demonstrate that a variety of emotional experiences are associated with dynamic interactions of domain-general neural systems.     

Early childhood predictors of boys’ antisocial and violent behavior in early adulthood

Research on early childhood predictors of violent behaviors in early adulthood is limited. The current study investigated whether individual, family, and community risk factors from 18 to 42 months of age were predictive of violent criminal arrests during late adolescence and early adulthood using a sample of 310 low-income male participants living in an urban community. In addition, differences in trajectories of overt conduct problems (CP), hyperactivity/attention problems (HAP), and co-occurring patterns of CP and HAP from age 1½ to 10 years were investigated in regard to their relationship to violent and nonviolent behaviors, depression, and anxiety at age 20. Results of multivariate analyses indicated that early childhood family income, home environment, emotion regulation, oppositional behavior, and minority status were all significant in distinguishing violent offending boys from those with no criminal records. In addition, trajectories of early childhood CP, but not attention deficit hyperactivity disorder, were significantly related to self-reports of violent behavior, depressive symptoms, and anxiety symptoms. Implications for the prevention of early childhood risk factors associated with adolescent and adult violent behavior for males are discussed.