Emotional facial expressions affect visual rule learning in 7- to 8-month-old infants

Rule learning (RL) is an implicit learning mechanism that allows infants to detect and generalize rule-like repetition-based patterns (such as ABB and ABA) from a sequence of elements. Increasing evidence shows that RL operates both in the auditory and the visual domain and is modulated by the perceptual expertise with the to-be-learned stimuli. Yet, whether infants’ ability to detect a high-order rule from a sequence of stimuli is affected by affective information remains a largely unexplored issue. Using a visual habituation paradigm, we investigated whether the presence of emotional expressions with a positive and a negative value (i.e., happiness and anger) modulates 7- to 8-month-old infants’ ability to learn a rule-like pattern from a sequence of faces of different identities. Results demonstrate that emotional facial expressions (either positive and negative) modulate infants’ visual RL mechanism, even though positive and negative facial expressions affect infants’ RL in a different manner: while anger disrupts infants’ ability to learn the rule-like pattern from a face sequence, in the presence of a happy face infants show a familiarity preference, thus maintaining their learning ability. These findings show that emotional expressions exert an influence on infants’ RL abilities, contributing to the investigation on how emotion and cognition interact in face processing during infancy.     

Understanding the role and function of maternal touch in children with neurodevelopmental disabilities

During the first years of life, maternal touch can serve different functions including facilitation of child’s gaze orientation to faces which is a key precursor for social attention. Although children with neurodevelopmental disability (ND) may have reduced social skills, the role of maternal touch in contributing to gaze orientation to maternal face has not been explored in previous research. In the present study, we investigate the functions of maternal touch in dyads of mothers and children with ND, compared to dyads of children with typical development (TD). Micro-analytic 2-s coding of maternal touch (i.e., affectionate, playful, facilitating, holding, no touch) and children’s gaze orientation (i.e., mother-oriented, object-oriented, non-oriented) occurred during 5-minute interactions between mothers and their 12-to-24-month-old ND and TD children. Dyads were paired for children chronological age and sex. Mothers of children with ND used more touch – especially facilitating and holding types –, compared to mothers of TD peers. Children with ND exhibited more non-orientated gaze compared to TD counterparts. Playful touch associated with increased mother-oriented gaze in children with ND, whereas affectionate and holding touch associated with greater mother-oriented gaze in TD children. Findings suggest that specific types of touch support children’s attention to social partners.     

Right-Wing Ideology as a Predictor of Collective Action: A Test Across Four Political Issue Domains

Despite a vast literature documenting motivations for collective action, the role of sociopolitical ideologies, including right-wing ideologies, in predicting collective action is underresearched. Literature on right-wing ideological beliefs suggests that those higher in right-wing authoritarianism (RWA) or social dominance orientation (SDO) hold specific attitudes or endorse specific policies, in part, because of factors such as perceived fear-based threat or empathy. In the present research, structural equation modeling (SEM) was run on pooled data from a diverse Canadian university sample and two American adult samples (total N = 1,469). Participants completed measures of RWA, SDO, fear-based threat, empathy, and domain-specific collective action. Results showed that RWA and SDO both related positively to collective action targeting societal moral breakdown but negatively to collective action aimed at equalizing race relations or fighting climate change. Whereas the indirect effects of right-wing ideologies via fear-based threat or empathy were significant in all four domains for SDO, the indirect effect of RWA was only significant in the climate change domain. Implications are discussed.     

The Ideological Foundations of Economic Protectionism: Authoritarianism,Social Dominance Orientation,and the Moderating Role of Political Involvement

Even though economic globalization and foreign trade are major topics in the political discourse of most societies and negative attitudes toward international trade are prevalent, there is a lack of research investigating the ideological roots of protectionist preferences from a psychological perspective. In the present research, we examined the implications of right-wing authoritarianism (RWA) and social dominance orientation (SDO) for trade attitudes. Using data from two nationally representative samples from the United States (Study 1) and Germany (Study 2), we found that RWA predicted protectionist attitudes above and beyond economic self-interest. Furthermore, we found that the relationship between RWA and opposition to international trade was moderated by political involvement. The association of SDO with protectionist attitudes was inconsistent across the two studies and was not moderated by political involvement. Taken together, these results emphasize the importance of basic ideological orientations and the psychological dispositions they reflect in explaining public attitudes toward international trade.     

Modeling the Influence of Language Input Statistics on Children's Speech Production

We trained a computational model (the Chunk-Based Learner; CBL) on a longitudinal corpus of child–caregiver interactions in English to test whether one proposed statistical learning mechanism—backward transitional probability—is able to predict children's speech productions with stable accuracy throughout the first few years of development. We predicted that the model less accurately reconstructs children's speech productions as they grow older because children gradually begin to generate speech using abstracted forms rather than specific “chunks” from their speech environment. To test this idea, we trained the model on both recently encountered and cumulative speech input from a longitudinal child language corpus. We then assessed whether the model could accurately reconstruct children's speech. Controlling for utterance length and the presence of duplicate chunks, we found no evidence that the CBL becomes less accurate in its ability to reconstruct children's speech with age.     

Examples,practice problems,or both? Effects on motivation and learning in shorter and longer sequences

Research suggests some sequences of examples and problems (i.e., EE, EP) are more effective (higher test performance) and efficient (attained with equal/less mental effort) than others (PP, sometimes also PE). Recent findings suggest this is due to motivational variables (i.e., self-efficacy), but did not test this during the training phase. Moreover, prior research used only short task sequences. Therefore, we investigated effects on motivational variables, effectiveness, and efficiency in a short (Experiment 1; four learning tasks; n = 157) and longer task sequence (Experiment 2; eight learning tasks; n = 105). With short sequences, all example conditions were more effective, efficient, and motivating than PP. With longer sequences, all example conditions were more motivating and efficient than PP, but only EE was more effective than PP. Moreover, EE was most efficient during training, regardless of sequence length. These results suggest that example study (only) is more effective, efficient, and more motivating than PP.     

Changing counterproductive beliefs about attention,memory, and multitasking: Impacts of a brief,fully online module

Ubiquitous mobile technology is part of contemporary life, bringing with it the potential for distraction and reduction in performance associated with multitasking. The predisposition toward dysfunctional multitasking may be shaped in part by beliefs that individuals hold about memory and attention. The issue is particularly pressing for college students, given established links between distraction, multitasking, and learning. This project assessed the impact of an online learning module on beliefs about attention, memory, and learning in college students. It also contrasted these beliefs in a college and non-college community sample. Significant reductions in counterproductive beliefs were associated with completing the module; counterproductive beliefs were also no more prevalent in the college vs. the non-college sample. Our findings suggest that brief online modules are a practical way to address counterproductive beliefs related to multitasking with technology, and add to the literature on metacognition, attention, and multitasking in college and non-college populations.     

Psychometric and Validity Issues in Machine Learning Approaches to Personality Assessment: A Focus on Social Media Text Mining

In the age of big data, substantial research is now moving toward using digital footprints like social media text data to assess personality. Nevertheless, there are concerns and questions regarding the psychometric and validity evidence of such approaches. We seek to address this issue by focusing on social media text data and (i) conducting a review of psychometric validation efforts in social media text mining (SMTM) for personality assessment and discussing additional work that needs to be done; (ii) considering additional validity issues from the standpoint of reference (i.e. ‘ground truth’) and causality (i.e. how personality determines variations in scores derived from SMTM); and (iii) discussing the unique issues of generalizability when validating SMTM for personality assessment across different social media platforms and populations. In doing so, we explicate the key validity and validation issues that need to be considered as a field to advance SMTM for personality assessment, and, more generally, machine learning personality assessment methods. © 2020 European Association of Personality Psychology     

Learning through observing: Effects of modeling truth‐ and lie‐telling on children’s honesty

The current study examined the influence of observing another's lie‐ or truth‐telling – and its consequences – on children's own honesty about a transgression. Children (N = 224, 5–8 years of age) observed an experimenter (E) tell the truth or lie about a minor transgression in one of five conditions: (a) Truth‐Positive Outcome – E told the truth with a positive outcome; (b) Truth‐Negative Outcome – E told the truth with a negative outcome; (c) Lie‐Positive Outcome – E lied with a positive outcome; (d) Lie‐Negative Outcome – E lied with a negative outcome; (e) Control – E did not tell a lie or tell the truth. Later, to examine children's truth‐ or lie‐telling behavior, children participated in a temptation resistance paradigm where they were told not to peek at a trivia question answer. They either peeked or not, and subsequently lied or told the truth about that behavior. Additionally, children were asked to give moral evaluations of different truth‐ and lie‐telling vignettes. Overall, 85% of children lied. Children were less likely to lie about their own transgression in the TRP when they had previously witnessed the experimenter tell the truth with a positive outcome or tell a lie with a negative outcome.