基于人格特征的即时通讯软件用户分类模型

根据即时通讯(instantmessaging,IM)软件工具使用行为的差异将用户划分为两类,使用“大五人格问卷”获取了该两类IM用户的人格特征测量数据。统计分析结果表明,上述两类用户在“适应性”和“社交性”因子上的得分存在显著差异,而在“开放性”、“利他性”和“道德感”三个因子上的得分差异不显著。据此,以用户在“适应性”与“社交性”因子上的得分为输入和用户的分类类别为输出,构建了IM用户基于人格特征的BP神经网络分类模型。对模型的拟合度检验表明,该模型可利用人格测量数据对IM用户进行有效分类。     

磁共振动态增强扫描(DCE-MRI)与动脉粥样硬化斑块内新生微血管相关性实验研究

通过动物实验探讨磁共振动态增强扫描成像参数S及SI%与动脉粥样硬化斑块内新生微血管的相关性。磁共振动态增强扫描参数S及SI%与新生微血管内皮细胞计数具有相关性(R=0.479,P0.01;R=0.433,P0.05),通过测定参数S及SI%对动脉粥样硬化斑块内新生微血管进行半定量测定,评价动脉硬化斑块易损性,为临床早期干预及治疗动脉硬化斑块提供可靠的影像学依据。     

公民责任意识:结构与动力分析及其教育的行动策略

针对当前公民责任意识教育存在的困难,文章从心理学角度出发,指出了当前研究所忽略的整体情境的动力和阻力问题,并尝试根据勒温的场论思想,对中国公民责任意识教育进行了整体和动力分析。通过整体结构的分析,提出了构成公民责任意识情境的三个维度:文化特征(差序格局-团体格局)、关系内容(传统社会的"义"、"利"、"情"和现代社会的"公")和现实程度(现实-虚构)维度。据此以拓扑心理学形式,举例说明了情境与人格交互作用中的动力和阻力因素。在上述个体层面分析的基础上,文章还简述了公民责任意识教育实践的团体动力学原理,并以展望未来论坛为例,介绍了正在兴起的公民责任意识教育的行动策略。     

发散思维的序列位置效应：创新想法动态产生机制的新视角

发散思维的序列位置效应是指随着时间的推移,单位时间内想法生成的数量逐渐降低,但想法的独创性逐渐升高的现象。联想理论和执行控制假说分别侧重对序列位置效应的个体差异和认知加工过程进行解释。神经影像学研究表明,在想法产生的整个阶段序列位置效应依赖于默认网络后部和突显网络的持续增强激活和协同合作;在想法产生的后期阶段,颞-顶区域alpha能量值以及执行控制网络与默认网络的协同模式增强。未来研究需要结合语义和神经动态分析等技术,对序列位置效应的特异性机制、动态加工机制以及影响因素进行深入探究,从而为解构创新思维的动态过程提供新的视角。     

风险情景中不同成就动机者的冒险行为特征

采用计算机模拟和问卷的方法,研究不同成就动机的个体在动态情境下的冒险行为。结合成就动机的静态与动态理论,考察具有不同程度的成就动机个体在动态环境中的行为差异。结果发现,在动态情境的初期,可以看到不同成就动机的被试有稳定的偏好：成就动机高的个体偏爱中等难度的任务,成就动机低的个体偏爱较易或者是较难难度的任务;随着行为的动态进行,个体的冒险行为呈现出与静态情境中不同的规律性：成就动机高的个体在初期选择的中等难度的基础上逐渐选择更难的任务;成就动机低的个体在初期选择较易难度任务的基础上也逐渐选择更难的任务;相对于成就动机低的个体,成就动机高的个体会更慢地选择难度高的任务;高成就动机个体出现非典型转换次数显著低于低成就动机的个体。     

集体问题解决中的认知表征、行为惯例和动态能力

以王建安和张钢(2008)开发的三人TTT纸牌游戏(原游戏)及其变式(变式游戏)为实验任务, 研究了集体问解决中认知表征和行为惯例对提高动态能力的作用。共有240名被试, 分成80个三人小组, 参加了前后两场各20盘游戏。80个小组按照是否被告知游戏的问题表征(即有无认知表征), 以及是玩原游戏还是玩变式游戏, 均分成4个区组来玩第一场游戏。在第二场游戏中, 4个区组都玩变式游戏。以玩每盘游戏的平均步时和在问题表征中走过的路径为指标测量惯例, 以玩第一场原游戏习得的能力向玩第二场变式游戏的迁移率来衡量动态能力。结果发现：一方面, 适当的认知表征有助于提高集体问题解决的动态能力; 另一方面, 没有适当认知表征支持的行为惯例反而会阻碍动态能力的发展。概括地说, 动态能力的决定因素是认知表征而不是行为惯例。     

Stochastic choice models: A comparison between Bush-Mosteller and a source-independent reward-following model

Horner and Staddon (1987) argued that a class of reward-following processes defined by a property they termed ratio invariance is a better model for the probabilistic choice performance of pigeons than competing molecular accounts such as momentary maximizing, melioration, and the Bush-Mosteller model. The critical data were provided by choice distributions-distributions of a variable S, the proportion of Right choices, defined on a moving window typically 32 choices long-obtained under a frequency-dependent schedule. The schedule prescribed equal payoff probabilities, p(S), for both choices. p(S) was a maximum when S = 0.5 and declined linearly for S values above and below 0.5. Pigeons showed generally bimodal choice distributions with the modes at equal p(S) values. These data do not follow easily from melioration or momentary maximizing and are inconsistent with molar maximizing, but they may be consistent with Bush-Mosteller. We present here the results of computer simulations showing that the ratio-invariance model studied yields, as expected, choice modes at equal p(S) values, but that Bush-Mosteller, although capable of generating bimodal choice distributions, does not have choice modes at equal p(S) values.     

Predicting physical activity intention and behaviour using achievement goal theory: A person-centred analysis

The purpose of the current study was to identify the 2 × 2 achievement goals profiles at the intraindividual level using a latent profile analyses (LPA) approach while controlling for the nesting of students within classroom. Additional analyses involving the direct inclusion of predictors and outcomes to the final latent profile solution were also used to examine the relationships between the latent profiles and perceived motivational climate, intention to be physically active and physical activity participation. A sample of 1810 school children aged 14–19 years drawn from 79 classes in 13 Singaporean schools took part in the study. Using the latent profile analysis, four distinct motivational profiles could be identified. The results from multinomial logistic regressions showed that profile membership was significantly predicted by perceptions of mastery and performance climate. Finally, the results showed that the four profiles differed significantly in terms of intention to be physically active and physical activity participation.     

Decision making in a dynamic situation: The effect of false alarms and time pressure

An experiment was conducted to investigate the effect of a priori probability of false alarms and time pressure on decision-making behaviour in a dynamic task environment. In order to assess whether strategy selection in a dynamic task environment would be adaptive, we modelled the task mathematically, and compared actual decision strategies to the optimal ones. In addition to the selected strategy, we also studied decision-making behaviour at a lower operational level, reflecting the amount of effort subjects are willing to spend on the decision process. Subjects were required to monitor the fitness level of a simulated athlete, who was running a race, and had to provide treatments whenever the athlete's fitness level suggested a real physiological problem. When a decline of the athlete's fitness was caused by a false alarm, a spontaneous recovery would occur after some time, without any need for intervention. Time pressure was manipulated by the rate at which the athlete's fitness level declined. Overall, subjects did not select the most efficient strategy: they dominantly selected information before applying an action, even though it would have been more profitable, and less effortful, just to apply actions. At the operational level, subjects appeared to invest less effort when the probability of false alarms increased and to invest more effort when time pressure increased. However, in contrast to the outcomes of our mathematical model, subjects adjusted the amount of intervention to the a priori probability of false alarms and not to time pressure. Together, the results indicate that the selection of a decision strategy in a dynamic task is less adaptive then is generally concluded from studies with static tasks.     

A Network Approach to Affect Regulation Dynamics and Personality Trait‐Induced Variations: Extraversion and Neuroticism Moderate Reciprocal Influences between Affect and Affect Regulation Strategies

The objectives of the present study were twofold. First, we tested a new approach to affect regulation dynamics, conceptualized as a network made up of the reciprocal influences that affect and affect regulation strategies constantly exert on each other. Second, we attempted to gain a better understanding of these dynamics by examining how they vary according to broad personality traits. To this end, we adopted an experience sampling method, involving five daily assessments over a 2‐week period. In each assessment, participants indicated their current affective experience and the way they had implemented five well‐known affect regulation strategies (i.e. appreciation, positive reappraisal, distraction, expressive suppression, and rumination) since the previous assessment. At the sample level, the network of affect regulation dynamics was characterized by positive feedback loops between positive affect and so‐called broad‐minded strategies, and between negative affect and narrow‐minded strategies. The form of this network varied according to levels of extraversion and neuroticism. Our findings are discussed in light of current knowledge about personality and affect regulation. Copyright © 2017 European Association of Personality Psychology