情绪智力的能力模型

有关情绪智力的研究受到人们越来越多地关注,并已经取得了长足的进展。尤其是其中的能力模型理论颇具影响力。该理论将情绪智力界定为一种独立的智力成分,并深入阐述了情绪智力的本质及测量问题,是一个有价值的理论。文章对该理论模型的现有的研究做了大致的回顾。     

Extraversion,Openness to Experience,and Global Career Intention: The Mediating Role of Cultural Intelligence

Drawing from social cognitive career theory, this study asserts that the personality traits of extraversion and openness to experience are positively and significantly related to global career intention (GCI). Moreover, drawing from self‐efficacy theory, this study asserts that cultural intelligence mediates the relationship between these personality traits and GCI. Results from a study in Australia of 158 undergraduate students demonstrated that extraversion and openness to experience are positively and significantly related to GCI. Results also showed that cultural intelligence partially mediates the relationship between (a) extraversion and GCI and (b) openness to experience and GCI.     

Different Effects of Cognitive Shifting and Intelligence on Creativity

The relationship between creativity and executive control has long been controversial. Some researchers view creative thinking as a defocused process with little executive control involvement, whereas others claim that executive control plays a vital role in creative thinking. In this study, we focused on one subcomponent of executive control, cognitive shifting, and examined its relationship with creativity by using latent variable analysis and structural equation modeling. We also analyzed whether this relation was mediated by intelligence. The results showed that: (a) cognitive shifting ability had a positive relationship with creativity, but only on the quantitative aspects (fluency and flexibility); (b) Intelligence had a positive relationship with both quantitative and qualitative aspects (originality) of creativity, and its effect on qualitative aspect was stronger than that on the quantitative aspect; (c) There was a mediating effect of intelligence on the relationship between creativity cognitive and shifting.     

Modelling the human lane-change execution behaviour through Multilayer Perceptrons and Convolutional Neural Networks

Driving is a highly complex task that involves the execution of multiple cognitive tasks belonging to different levels of abstraction. Traffic emerges from the interaction of a big number of agents implementing those behaviours, but until recent years, modelling it by the interaction of these agents in the so called micro-simulators was a nearly impossible task as their number grows. However, with the growing computing power it is possible to model increasingly large quantities of individual vehicles according to their individual behaviours. These models are usually composed of two sub-models for two well-defined tasks: car-following and lane-change. In the case of lane-change the literature proposes many different models, but few of them use Computational Intelligence (CI) techniques, and much less use personalization for reaching individual granularity. This study explores one of the two aspects of the lane-change called lane-change acceptance, where the driver performs or not a lane-change given his intention and the vehicle environment. We demonstrate how the lane-change acceptance of a specific driver can be learned from his lane change intention and surrounding environment in an urban scenario using CI techniques such as feed-forward Artificial Neural Network (ANN). We work with Multilayer Perceptron (MLP) and Convolutional Neural Networks (CNN) architectures. How they perform one against the other and how the different topologies affect both to the generalization of the problem and the learning process are studied.     

Enterprise credit risk evaluation based on neural network algorithm

To explore the enterprise credit risk evaluation, the application effect of several common neural network models in Chinese small and medium-sized enterprise data sets was compared and the optimal parameters for each model were determined. In addition, the classification accuracy and the applicability of the model were compared, and finally the common problem of optimization neural network algorithm based on population was solved: need to determine the dimensions in advance. The experimental results showed that the probabilistic neural network (PNN) had the minimum error rate and second types of errors, while the PNN model had the highest AUC value and was robust. To sum up, the algorithm makes some contributions to solve the financing problem of small and medium-sized enterprises in China.     

大学生反刍思维对消极情感和积极情感的影响——以孤独感和情绪智力为例

以331名大学生为被试,采用反刍思维量表、孤独感量表和情绪智力量表,考察了三者之间的关系,以说明反刍思维既可以对个体情绪产生消极影响,也可以对其产生积极影响。结果表明,在中国大学生群体中,反刍思维的反省维度得分高于抑郁相关和沉思维度得分;反刍思维总分及三个维度都可以正向预测孤独感;反刍思维的抑郁相关维度负向预测情绪智力水平,反省维度正向预测情绪智力;情绪智力分别在反刍思维、抑郁相关和沉思三个变量与孤独感之间的关系中起着调节作用,可以缓解三个变量对孤独感的预测作用。     

医疗人工智能产品研发的伦理审查与法律考量

国内医疗人工智能研究日益增多,具有多学科合作,并以数据驱动的特点。走访深圳开展健康领域人工智能研发的企业、医疗机构以及研究机构的开发者,了解到存在监管不足、数据收集及处理过程欠缺标准化、责任不清等挑战。并且,面临应该如何遵循医学科研伦理审查原则,如何合法合规收集、利用、共享数据并界定责任等问题。从医院进行伦理审查实践层面探讨医疗人工智能的研究价值、科学有效性、风险受益等的审查要点;医疗人工智能研究的法律考量主要包括个人信息收集和利用的边界,以及侵权责任主体的认定。     

Culturally intelligent supervisors: Inclusion,intercultural cooperation,and psychological safety

By integrating the cultural intelligence (CQ) and diversity/inclusion literature, we attempt to make a dual contribution to the literature by understanding how subordinates' perceptions of their supervisors' CQ may enhance their intercultural cooperation via their individual psychological climate for inclusion. We further examine the role of minority members' psychological safety as a result of perceived supervisor CQ and psychological climate for inclusion. To explore these processes, we conducted three studies. Based on social processing and social learning theories, we empirically tested the relationship between perceived supervisor CQ and subordinates' intercultural cooperation and initially determined the role of one of the three dimensions of psychological climate for inclusion (i.e. integration of differences) (Study 1: two-waves; N = 316). To address the data limitation and to expand the framework (i.e. adding in the other dimensions of psychological climate), we conducted Study 2 (two-waves; N = 173). We further extended the framework to include psychological safety and obtained two-waves of data from ethnic minority members in Study 3 (N = 155). Our results supported our predictions offering novel insights into why CQ matters for supervisors of culturally diverse work units and clarify the various mechanisms on how supervisors' CQ influences intercultural cooperation in those units.     

情绪智力对大学生创业意向的影响:成就动机和创业自我效能感的链式中介作用

为探讨情绪智力、成就动机、创业自我效能感和大学生创业意向之间的关系。使用情绪智力量表、成就动机量表、创业自我效能感量表和创业意向量表对986名大学生进行调查。结果表明:(1)成就动机中介了情绪智力与大学生创业意向之间的关系。(2)创业自我效能感中介了成就动机与大学生创业意向间的关系。(3)创业自我效能感中介了情绪智力与大学生创业意向之间的关系。(4)成就动机和创业自我效能感在情绪智力与大学生创业意向之间起链式中介作用。