Antecedent-Focused Emotion Regulation,Response Modulation and Well-Being

The aim of the research was to examine the full range of emotion regulation strategies proposed by the Gross and John (Journal of Personality and Social Psychology 85:348–362, 2003; John, O. P., & Gross, J. J. (2007). Individual differences in emotion regulation. In J. J. Gross (Ed.), Handbook of emotion regulation (pp. 351–372). New York: Guilford) process model of emotional regulation. Seventy-three participants from Australia provided information on their use of emotion regulation strategies, well-being, and emotional intelligence. As predicted by the process model of emotional regulation, antecedent focused regulation strategies were associated with greater well-being. Response-modulation strategies predicted no additional variance in well-being beyond antecedent-regulation strategies. In contrast to past research on the selected response modulation strategy of suppression, in the present research response modulation was not associated with negative well-being outcomes. Individuals higher in emotional intelligence showed more antecedent-focused regulation, a finding congruent with model-based predictions.     

Children and Violence: The Role of Children’s Regulation in the Marital Aggression–Child Adjustment Link

Exposure to marital psychological and physical abuse has been established as a risk factor for children’s socio-emotional, behavioral, and cognitive problems. Understanding the processes by which children develop symptoms of psychopathology and deficits in cognitive functioning in the context of marital aggression is imperative for developing efficient and effective treatment programs for children and families, and has far-reaching mental health implications. The present paper outlines our research program, Child Regulation and Exposure to Marital Aggression, which focuses on children’s emotional and physiological reactivity and regulation as pathways in the marital aggression–child development link. Findings from our research program, which highlight the importance of children’s regulatory processes for understanding children’s adjustment in contexts of intimate partner violence, are presented, and future directions in this line of inquiry are outlined.     

Children and Political Violence from a Social Ecological Perspective: Implications from Research on Children and Families in Northern Ireland

The effects on children of political violence are matters of international concern, with many negative effects well-documented. At the same time, relations between war, terrorism, or other forms of political violence and child development do not occur in a vacuum. The impact can be understood as related to changes in the communities, families and other social contexts in which children live, and in the psychological processes engaged by these social ecologies. To advance this process-oriented perspective, a social ecological model for the effects of political violence on children is advanced. This approach is illustrated by findings and methods from an ongoing research project on political violence and children in Northern Ireland. Aims of this project include both greater insight into this particular context for political violence and the provision of a template for study of the impact of children’s exposure to violence in other regions of the world. Accordingly, the applicability of this approach is considered for other social contexts, including (a) another area in the world with histories of political violence and (b) a context of community violence in the US.     

诱发及个体自发认知重评对情绪唤醒反应及情绪记忆的影响

为了明确诱发（IRE）及个体习惯化的自发（SRE）认知重评策略对情绪唤醒反应及情绪记忆的影响,在测量被试SRE水平的基础上,先呈现一系列中性与负性情绪图片,要求被试对图片内容进行自然观看或认知重评,同时记录被试的主观与生理唤醒水平,之后对图片进行自由回忆及再认测试。发现IRE显著降低了情绪唤醒水平及再认正确率,但只对情绪唤醒反应较高的LR（SRE水平较低）被试有效。结果提示,IRE对情绪唤醒反应与情绪记忆的调控受到SRE的影响。     

Re-framing the characteristics of concepts and their relation to learning and cognition in artificial agents

In this work, the problems of knowledge acquisition and information processing are explored in relation to the definitions of concepts and conceptual processing, and their implications for artificial agents.The discussion focuses on views of cognition as a dynamic property in which the world is actively represented in grounded mental states which only have meaning in the action context. Reasoning is understood as an emerging property consequence of actions-environment couplings achieved through experience, and concepts as situated and dynamic phenomena enabling behaviours.Re-framing the characteristics of concepts is considered crucial to overcoming settled beliefs and reinterpreting new understandings in artificial systems.The first part presents a review of concepts from cognitive sciences. Support is found for views on grounded and embodied cognition, describing concepts as dynamic, flexible, context-dependent, and distributedly coded.That is argued to contrast with many technical implementations assuming concepts as categories, whilst explains limitations when grounding amodal symbols, or in unifying learning, perception and reasoning.The characteristics of concepts are linked to methods of active inference, self-organization, and deep learning to address challenges posed and to reinterpret emerging techniques.In a second part, an architecture based on deep generative models is presented to illustrate arguments elaborated. It is evaluated in a navigation task, showing that sufficient representations are created regarding situated behaviours with no semantics imposed on data. Moreover, adequate behaviours are achieved through a dynamic integration of perception and action in a single representational domain and process.     

All in the first glance: first fixation predicts individual differences in valence bias*

Surprised expressions are interpreted as negative by some people, and as positive by others. When compared to fearful expressions, which are consistently rated as negative, surprise and fear share similar morphological structures (e.g. widened eyes), but these similarities are primarily in the upper part of the face (eyes). We hypothesised, then, that individuals would be more likely to interpret surprise positively when fixating faster to the lower part of the face (mouth). Participants rated surprised and fearful faces as either positive or negative while eye movements were recorded. Positive ratings of surprise were associated with longer fixation on the mouth than negative ratings. There were also individual differences in fixation patterns, with individuals who fixated the mouth earlier exhibiting increased positive ratings. These findings suggest that there are meaningful individual differences in how people process faces.     

Directed forgetting of negative performed actions is difficult: A behavioural study

Strong evidence suggests that both performing actions and emotional stimuli can enhance memory by capturing attention. However, the synergetic effect of the two factors on directed forgetting has not been assessed. In this study, we used an item-method directed forgetting paradigm to examine the forgetting of emotional materials depending on whether actions were performed. The results showed that action performance influenced the directed forgetting of emotional words. Specifically, when actions were performed there was a directed forgetting effect for neutral and positive words but not for negative words. In comparison, for verbal tasks, directed forgetting was observed for all words. The elaborative encoding prior to the remember/forget instructions and the influence of negative emotion on attentional inhibition after the presentation of the instructions together suggest that it is more difficult to intentionally forget negative performed actions.     

Executive function and intelligence in the resolution of temporary syntactic ambiguity: an individual differences investigation

In the current study, we examined the role of intelligence and executive functions in the resolution of temporary syntactic ambiguity using an individual differences approach. Data were collected from 174 adolescents and adults who completed a battery of cognitive tests as well as a sentence comprehension task. The critical items for the comprehension task consisted of object/subject garden paths (e.g., While Anna dressed the baby that was small and cute played in the crib), and participants answered a comprehension question (e.g., Did Anna dress the baby?) following each one. Previous studies have shown that garden-path misinterpretations tend to persist into final interpretations. Results showed that both intelligence and processing speed interacted with ambiguity. Individuals with higher intelligence and faster processing were more likely to answer the comprehension questions correctly and, specifically, following ambiguous as opposed to unambiguous sentences. Inhibition produced a marginal effect, but the variance in inhibition was largely shared with intelligence. Conclusions focus on the role of individual differences in cognitive ability and their impact on syntactic ambiguity resolution.     

L’intelligence artificielle peut-elle aider à estimer le risque de récidive dans les comportements violents ?

In forensic psychiatry, magistrates raise the question of the existence of a risk of recidivism and dangerousness to psychiatric experts. Follow-up studies in forensic psychiatry showed that the psychiatric elements predictive of recidivism were mainly related to serious mental illnesses, toxic consumption, addictions, high levels of impulsivity, low insight, associated personality disorders, in particular antisocial personality disorders. There are also protective factors, in particular the observance of treatments. Given the complexity of psychiatric and criminological risk factors and protection, can artificial intelligence (AI) help psychiatrists and magistrates to improve the predictivity of recidivism?MethodsSystematic review of the literature on AI applications in the prediction of recidivism in forensic psychiatry, conducted according to PRISMA criteria, using the: “Artificial Intelligence”, “Recidivism”, “Personality Disorder”, “Impulsive” Behavior”, “Alcohol abuse”, “Drug Abuse”, “Schizophrenia”, “Bipolar disorder” on the PubMed, Science Direct, Clinical Trial and Google Scholar databases.ResultsThe vast majority of studies come from legal or computer reviews and very few from medical databases. The studies evaluating the AI in Forensic Psychiatry most often used Machine Learning based on sociodemographic, sociological and criminological data, notably the age of the first offense and the number of previous convictions. To date, there are very few studies evaluating psychiatric parameters, focusing on psychopathic personality disorders.Discussion/conclusionThe applications of the AI in Forensic Psychiatry are still very premature. However, some psychiatric criteria should be more prominent in this field, especially those from Webster's HCR-20 and Hare PCL-R scales. The challenge will also be to find relevant behavioral, psychological and psychiatric keywords to include in AI.