大学生情绪智力与心理健康的关系:社会支持的中介作用和手机依赖的调节作用

以621名大学生为被试,采用情绪智力量表、心理症状自评量表、青少年社会支持评定量表、手机依赖指数量表为研究工具,探讨情绪智力与心理健康之间的关系,并在此基础上构建一个有调节的中介模型,探究社会支持的中介作用以及手机依赖在这一中介过程中的调节作用。结果发现：（1）情绪智力对心理健康的影响显著,社会支持在其中起部分中介作用,即情绪智力既可以直接影响心理健康,还可以通过社会支持的中介作用间接影响心理健康;（2）手机依赖调节了情绪智力通过社会支持影响大学生心理健康的中介过程的后半路径,相对于低手机依赖的大学生,高手机依赖大学生的社会支持对心理健康的影响更为显著。关注大学生心理健康,不仅要重视个体因素、生态环境因素的单独影响,更要重视这些因素的联合作用。     

儿童青少年时期加工速度和执行功能在流体智力发展中的作用

以7~15岁儿童青少年为研究对象,考察加工速度和执行功能对流体智力的影响。研究结果表明,随着年龄的增长,感觉运动加工速度、知觉加工速度对流体智力从具有直接影响到只通过执行功能中的记忆更新成分产生间接影响,但这种影响存在年龄间的差异。在童年中期（7~9岁）,知觉加工速度对流体智力不仅具有直接的预测作用,还通过记忆更新对其产生间接的影响。童年晚期（10~12岁）,感觉运动加工速度和知觉加工速度不再对流体智力具有直接预测作用,都是通过记忆更新和抑制/转换合成成分间接对流体智力起作用。青春期（13~15岁）,知觉加工速度对流体智力只通过记忆更新产生间接影响。     

Intelligence culturelle comme prédicteur de la performance au travail en expatriation : rôle médiateur de l’ajustement culturel

The present study aims at testing the effects of cultural intelligence (metacognitive, cognitive, motivational and behavioural facets) onto job performance in expatriation (dimensions relevant to task, effort demonstration, leadership, discipline maintenance, communication, administrative and managerial responsibilities) mediated by cross-cultural adjustment (global, interactional and job facets). Data are collected via an electronic survey administered to French expatriates (N = 201) and further processed in SPSS 20.0 and Lisrel 8.80. An output latent variable model globally confirms a mediation hypothesis and leads to a number of original findings. Namely, motivational and behavioural facets of cultural intelligence have the largest effect onto job performance in expatriation, while metacognitive facet has no effect at all. As regards job performance itself, the task dimension is the least dependent upon cultural intelligence and cross-cultural adjustment as compared to job performance aspects relevant to workplace relationships and team management (e.g., communication or leadership performance). The results are discussed in terms of their novelty and several research perspectives are proposed.     

Socially emotional brain-inspired cognitive architecture framework for artificial intelligence

Artificial Intelligence of the next generation needs to interact with users socially, convincing them in its ability to understand human minds, including emotions. For this to happen, an artificial emotional intelligence is needed, capable of adequate, believable behavior in social emotional interactions. Building on previous developments, the present work extends the general framework of emotional Biologically Inspired Cognitive Architecture (eBICA: Samsonovich, 2013, 2018), endowing it with fluents describing, in addition to appraisals, somatic markers, feelings, emotions, moods, emotional reactions and biases. Key building blocks that integrate them are moral schemas and semantic maps. The model describes interaction of three factors: plans and commitments, moral and ethical values, and somatic comfort. Learning in this framework includes self-organization of semantic maps that in turn may provide guidance for active humanlike learning. Implications for empirical studies and practical applications are discussed together with the expected impact.     

2001 DIVISION 27 PRESIDENTIAL ADDRESS: Emotional Intelligence and the Good Community

Suggests various ways in which the concept of emotional intelligence (EI) can inform community research and action. Begins by defining EI and reviewing the growing body of research on its contribution to educational, health, and occupational outcomes. Next distinguishes between EI and the related concept of emotional and social competence. Then considers the connection between EI and several topics of interest to community action researchers including prevention and wellness promotion, implementation and dissemination of innovative programs, community development, and the value of diversity. Concludes by suggesting that the ecological perspective can help inform research and practice relating to EI.     

Lateral asymmetry in phonological processing: relating behavioral measures to neuroimaged structures

Recent neuroimaging studies have revealed neuroanatomical centers of activation that appear to be linked specifically to phonological processes. Furthermore, there is evidence that these centers of activation are more likely to be bilaterally represented in women than in men. However, behavioral evidence of such hemispheric asymmetries or of related sex differences is somewhat inconsistent. Two experiments were carried out to determine whether behavioral correlates of the neuroimaging findings could be demonstrated. The first experiment employed a rhyme-matching task used in a recent neuroimaging study, in which two nonsense words were projected successively to the left or right sides of the visual field. The results indicated that the left hemisphere was superior for this task. An analysis of gender effects, however, revealed that the asymmetry was restricted to men. The second experiment employed a lateralized pseudohomophone detection task that was designed to determine whether the results of the first experiment could be confirmed in the context of a phonological task with a simpler structure. This experiment broadly supported the findings of the first experiment. The results support the specialization of the left hemisphere for phonological processing, and the existence of gender differences with respect to these processes.     

The Meaning vs. The Medical Model in the Empirically Supported Treatment Program: A Consideration of The Empirical Evidence

A review of the debate on the Empirically Supported Treatment Program is presented. It is argued that underlying the specifics of the debate are fundamentally incompatible paradigms: a meaning vs. a medical model. The findings from two gold standard multi-site studies are reviewed to conclude that the control condition meets requirements for an empirically supported treatment. The empirical finding of the failure of clinical training to improve treatment outcomes is explained by the focus on rational factors in training. It is recommended that training of therapists focus on enhancing experiential capacity rather than mastery of manualized treatment approaches.     

Predicting traumatic stress using emotional intelligence

The study investigated whether emotional intelligence (EI) can predict how individuals respond to traumatic experiences. A random sample of 414 participants (181 male, 233 female) were administered a measure of EI along with the Impact of Event Scale--revised [IES-R; Weiss, D. S. & Marmar, C. R. (1997). The Impact of Events Scale--revised. In J.P. Wilson & T.M. Keane (Eds.), Assessing psychological trauma and PTSD (pp. 399-411). New York: Guilford Press], and the monitoring and blunting questionnaire [MBQ, Anxiety Stress Coping 7 (1994) 53]. The results showed that participants with higher NEIS scores report fewer psychological symptoms relating to their traumatic experiences, that monitors are more likely to have higher NEIS scores than blunters. Traumatic events had a greater impact on females than males, and males had higher EI than females. The implications of these findings for using EI as a predictor for individuals who may experience traumatic stress are discussed.     

A Capuchin monkey (<Emphasis Type="Italic">Cebus apella</Emphasis>) recognizes when people do and do not know the location of food

In a previous study, Kuroshima and colleagues demonstrated that capuchin monkeys (Cebus apella) learned to discriminate between a "knower" who inspected a box for food, and a "guesser" who did not. The aim of the present study was to specify whether the subjects learned a simple conditional discrimination or a causal relationship that seeing leads to knowing. In experiment 1, we introduced five types of novel containers to two subjects. Each container was of different shape and color. The subjects gradually learned to reach toward the container the knower suggested. In experiment 2, we diversified the behavior of the knower and the guesser. In experiment 3, in order to eliminate the possibility of discrimination based on differences in the magnitude and the complexity of two trainers, we equated their behaviors. One subject adapted to the novel behaviors of the knower and the guesser, successfully discriminating the two trainers. Thus this monkey clearly learned to use the inspecting action of the knower and the non-inspecting action of the guesser as a discriminative cue to recognize the baited container. This result suggests that one capuchin monkey learned to recognize the relationship between seeing and knowing.