Short-term gains, long-term pains: How cues about state aid learning in dynamic environments

Successful investors seeking returns, animals foraging for food, and pilots controlling aircraft all must take into account how their current decisions will impact their future standing. One challenge facing decision makers is that options that appear attractive in the short-term may not turn out best in the long run. In this paper, we explore human learning in a dynamic decision making task which places short- and long-term rewards in conflict. Our goal in these studies was to evaluate how people’s mental representation of a task affects their ability to discover an optimal decision strategy. We find that perceptual cues that readily align with the underlying state of the task environment help people overcome the impulsive appeal of short-term rewards. Our experimental manipulations, predictions, and analyses are motivated by current work in reinforcement learning which details how learners value delayed outcomes in sequential tasks and the importance that “state” identification plays in effective learning.     

Children's perception and understanding of (dis)similarities among dynamic bodily/facial expressions of happiness, pleasure, anger, and irritation

The current study examined the abilities of children (6 and 8 years of age) and adults to freely categorize and label dynamic bodily/facial expressions designed to portray happiness, pleasure, anger, irritation, and neutrality and controlled for their level of valence, arousal, intensity, and authenticity. Multidimensional scaling and cluster analyses showed that children (n = 52) and adults (n = 33) structured expressions in systematic and broadly similar ways. Between 6 and 8 years of age, there was a quantitative, but not a qualitative, improvement in labeling. When exposed to rich and dynamic emotional cues, children as young as 6 years can successfully perceive differences between close expressions (e.g., happiness, pleasure), and can categorize them with clear boundaries between them, with the exception of irritation, which had fuzzier borders. Children’s classifications were not reliant on lexical semantic abilities and were consistent with a model of emotion categories based on their degree of valence and arousal.     

“认知科学”与“第二代认知科学”刍议

以计算隐喻为核心假设的传统认知心理学以及联结主义心理学均不能克服离身心智（disembodied mind）的根本缺陷,当代认知心理学正面临着新的范型转换。以具身性和情境性为重要特征的第二代认知科学将日受重视,并促使认知神经科学进入新的发展阶段。作者认为在身心关系上应该坚持生理只是心理的必要条件,而非充分条件的立场,克服生理还原论的危险;应该重新审视基于二元论的生理机制这种说法;心理学传统中的科学主义和人文主义有可能在第二代认知科学强调认知情境性的基础上达成某种融合;第一代认知科学对意识的研究是不成功的,因为对知觉、注意、记忆、思维等心理过程的研究不能代替意识的研究,同时还应避免以意识内容的研究取代心理学研究的倾向。第二代认知科学中的动力系统理论关于变量（因素）之间的偶合（coupling）关系完全不同于变差分析中的变量之间的交互作用关系”,其动力系统模式可能更有助于破解意识的产生（涌现）之谜,并引发心理学研究的方法论的变革新潮。第二代认知科学的兴起将启发人们对身心关系、生理还原论、意识研究在心理学中的地位、人工智能对心智完全模拟的可能性等重大问题重新思考     

社会主义核心价值体系:语义分析和语用阐释

从语义上看,社会主义价值体系就是人们对社会主义属性的感受、体验、认知以及评判的总和,体现为一种观念的集合（社会意识系统）,社会主义核心价值体系就是指在这些观念集合中居于主体地位、起着主导性作用的观念系统。而在语用层面,社会主义核心价值体系因解释者不同而具有不同的诉求。一般来说,主要有这样三种类型的诉求：国家的角度,基于阶级意志而要求整个社会如何如何;社会的角度,着眼于“应该”的愿景来表达预期的意愿;个体的角度,立足于事实的效力坚持大众认同的标准。     

Communicating safety with drivers via dynamic message signs

In recent years numerous transportation agencies have begun displaying creative safety messages like “get your head out of your apps” on dynamic message signs (DMS). DMS have been used traditionally to provide real-time information about travel times, weather conditions, construction, and incidents. Applying emotional and consequential concepts from protection motivation theory, which has a track record of leading to behavioral changes from public awareness campaigns, this study evaluates how the use of safety messages on DMS impacts driver perceptions. We find that emotions, but not consequences, impact self-reported driving behavior. Further, while drivers reported negative emotions would change their driving habits, positive messages were recalled far more often. Cell phone related messages were recalled most frequently despite being rarely displayed along roadways in Michigan where the study is conducted. Thus, the results support the use of positively themed messages with consequences that drivers perceive as realistic.     

Testing Process Factor Analysis Models Using the Parametric Bootstrap

Process factor analysis (PFA) is a latent variable model for intensive longitudinal data. It combines P-technique factor analysis and time series analysis. The goodness-of-fit test in PFA is currently unavailable. In the paper, we propose a parametric bootstrap method for assessing model fit in PFA. We illustrate the test with an empirical data set in which 22 participants rated their effects everyday over a period of 90 days. We also explore Type I error and power of the parametric bootstrap test with simulated data.     

Deadly combinations: how leadership contexts undermine the activation and enactment of followers’ high core self-evaluations in performance

Employees with high core self-evaluations (CSE) generally perform well in their jobs. The enactment of CSE in performance occurs within contexts, and leadership is one form of context that influences the activation and expression of CSE. Drawing on theories of CSE and leader–member exchange (LMX), we characterized the leadership context as the interaction between leader CSE and LMX quality. Examination of 173 followers and their 31 leaders in a manufacturing organization showed a positive association between follower CSE and performance when the context comprised high leader CSE and high LMX. Conversely, leadership contexts comprising high leader CSE and low LMX, or low leader CSE and high LMX, resulted in a negative relationship between follower CSE and performance. We also show that low CSE followers have relatively high performance under some circumstances. Thus, we contribute to understanding how some leadership contexts undermine high CSE followers’ performance and promote low CSE followers’ performance.     

基于IRT模型的儿童图形推理能力动态评估研究

MRMLC模型是一种常见的动态评估项目反应理论模型。本研究结合小学儿童图形推理能力发展的特点,采用前测-干预-后测的动态评估模式,对来自江西省北部的四到六年级共177名儿童的图形推理能力进行了基于MRMLC模型的动态评估。研究结果表明通过动态评估我们不仅可以获知儿童图形推理能力的当前水平;而且,还可以进一步分析和比较儿童在各测量情景所测的潜在水平。     

Common cues to emotion in the dynamic facial expressions of speech and song

Speech and song are universal forms of vocalization that may share aspects of emotional expression. Research has focused on parallels in acoustic features, overlooking facial cues to emotion. In three experiments, we compared moving facial expressions in speech and song. In Experiment 1, vocalists spoke and sang statements each with five emotions. Vocalists exhibited emotion-dependent movements of the eyebrows and lip corners that transcended speech–song differences. Vocalists’ jaw movements were coupled to their acoustic intensity, exhibiting differences across emotion and speech–song. Vocalists’ emotional movements extended beyond vocal sound to include large sustained expressions, suggesting a communicative function. In Experiment 2, viewers judged silent videos of vocalists’ facial expressions prior to, during, and following vocalization. Emotional intentions were identified accurately for movements during and after vocalization, suggesting that these movements support the acoustic message. Experiment 3 compared emotional identification in voice-only, face-only, and face-and-voice recordings. Emotion judgements for voice-only singing were poorly identified, yet were accurate for all other conditions, confirming that facial expressions conveyed emotion more accurately than the voice in song, yet were equivalent in speech. Collectively, these findings highlight broad commonalities in the facial cues to emotion in speech and song, yet highlight differences in perception and acoustic-motor production.