社交焦虑大学生情绪调节灵活性：情绪内容对策略选择和使用的影响

尽管社交焦虑个体被认为存在情绪调节灵活性的不足,但至今尚不清楚这种不足究竟在于难以灵活选择策略,还是难以灵活使用策略,抑或二者兼有？对此,本研究采用情绪调节策略选择任务考察了37名高社交焦虑大学生和29名低社交焦虑大学生在面对社交-非社交情绪图片时对认知重评-回避策略的选择模式和使用效果。结果发现：在面对社交情绪图片时,高社交焦虑被试比低社交焦虑被试更少选择认知重评,而更多选择回避;在面对非社交情绪图片时,两组被试对两种策略的选择模式无显著差异。同时,无论面对社交还是非社交情绪图片,两组被试对两种策略的使用效果也无显著差异。以上结果表明,相比低社交焦虑个体,高社交焦虑个体只有在面对社交情绪刺激时才存在情绪调节灵活性的不足,且这种不足主要在于难以灵活选择策略,而非难以灵活使用策略。     

辩证行为疗法：理论背景、治疗效果及作用机制

辨证行为疗法（Dialectical Behavior Therapy, DBT）于20世纪90年代初由美国治疗师Linehan创立。作为第三代行为治疗之一,该疗法以行为主义理论、辩证哲学、生物社会理论及禅宗为哲学基础,通过增加患者的技能使用,提高其情绪调节能力,以达到治疗目的。临床研究已证明其在边缘人格障碍,自杀及自伤行为中具有良好的治疗效果,除此之外也广泛适用于其他心理障碍及群体。DBT的临床效果、改变机制及拓展应用都需进一步研究。     

象似性和手语学习经验对中国手语-汉语跨模态语义启动效应的影响

采用启动条件下的词汇判断任务,考察熟练手语使用者和无手语经验成年听人的跨模态语义启动效应。结果发现：1)在象似词条件下,两组被试判断汉语语义相关词的反应时均快于语义无关词,说明手语象似词和汉语词之间存在跨模态语义启动效应。2)在非象似词条件下,仅手语熟练被试判断汉语语义相关词的反应时快于语义无关词,无手语经验被试判断汉语语义相关词和无关词的速度没有差异。这是由于前者心理词库中的手语词和口语词共享语义表征,而后者主要依赖手语象似词的视觉模拟性。整个研究表明,中国手语和汉语间存在跨模态语义启动效应,但该效应受到手语词象似性和手语学习经历的调节。     

阴谋论信念的产生机制——社会认知视角的三种解释

社会心理学将阴谋论视作一种意识形态上的信念,并定义为人们将重大的政治或社会事件归因为有权力的群体或个人暗中预谋以达成其目的的解释倾向。社会认知视角为个体这种阴谋论信念的产生提供了三种解释。错觉模式感知导致人们认知上倾向于在不相关的事件之间建立联系;敏感性动因觉察影响人们过度感知并假定事件背后的动因、目的和意图等;投射是将自己愿意参与阴谋的意图归因于事件中的他人。     

A systematic review of the effectiveness of machine learning for predicting psychosocial outcomes in acquired brain injury: Which algorithms are used and why?

Clinicians working in the field of acquired brain injury (ABI, an injury to the brain sustained after birth) are challenged to develop suitable care pathways for an individual client’s needs. Being able to predict psychosocial outcomes after ABI would enable clinicians and service providers to make advance decisions and better tailor care plans. Machine learning (ML, a predictive method from the field of artificial intelligence) is increasingly used for predicting ABI outcomes. This review aimed to examine the efficacy of using ML to make psychosocial predictions in ABI, evaluate the methodological quality of studies, and understand researchers’ rationale for their choice of ML algorithms. Nine studies were reviewed from five databases, predicting a range of psychosocial outcomes from stroke, traumatic brain injury, and concussion. Eleven types of ML were employed with a total of 75 ML models. Every model was evaluated as having high risk of bias, unable to provide adequate evidence for predictive performance due to poor methodological quality. Overall, there was limited rationale for the choice of ML algorithms and poor evaluation of the methodological limitations by study authors. Considerations for overcoming methodological shortcomings are discussed, along with suggestions for assessing the suitability of data and suitability of ML algorithms for different ABI research questions.     

The Natural Selection of Prediction Heuristics: Anchoring and Adjustment versus Representativeness

There are several heuristics which people use in making numerical predictions and these heuristics compete for the determination of prediction output. Some of them (e.g. representativeness) lead to excessively extreme predictions while others (e.g. anchoring and adjustment) lead to regressive (and even over-regressive) predictions. In this paper we study the competition between these two heuristics by varying the representation of predictor and outcome. The results indicate that factors which facilitate reliance on representativeness (e.g. compatibility between predictor and outcome) indeed lead to an increase in extremity, while factors that facilitate reliance on anchoring and adjustment (e.g. increased salience of a potential anchor) lead to a decrease in extremity.     

ON THE BENEFITS OF PHILOSOPHY AS A WAY OF LIFE IN A GENERAL INTRODUCTORY COURSE

Philosophy as a way of life (PWOL) places investigations of value, meaning, and the good life at the center of philosophical investigation, especially of one’s own life. This essay argues that PWOL is compatible with general introductory philosophy courses, further arguing that PWOL-based general introductions have several philosophical and pedagogical benefits. These include the ease with which high-impact practices, situated skill development, and students’ ability to “think like a disciplinarian” may be incorporated into such courses, relative to more traditional introductory courses, as well as the demonstration of philosophy’s value to students by explicitly tying philosophical investigation to students’ own lives.     

Emotional facial expressions affect visual rule learning in 7- to 8-month-old infants

Rule learning (RL) is an implicit learning mechanism that allows infants to detect and generalize rule-like repetition-based patterns (such as ABB and ABA) from a sequence of elements. Increasing evidence shows that RL operates both in the auditory and the visual domain and is modulated by the perceptual expertise with the to-be-learned stimuli. Yet, whether infants’ ability to detect a high-order rule from a sequence of stimuli is affected by affective information remains a largely unexplored issue. Using a visual habituation paradigm, we investigated whether the presence of emotional expressions with a positive and a negative value (i.e., happiness and anger) modulates 7- to 8-month-old infants’ ability to learn a rule-like pattern from a sequence of faces of different identities. Results demonstrate that emotional facial expressions (either positive and negative) modulate infants’ visual RL mechanism, even though positive and negative facial expressions affect infants’ RL in a different manner: while anger disrupts infants’ ability to learn the rule-like pattern from a face sequence, in the presence of a happy face infants show a familiarity preference, thus maintaining their learning ability. These findings show that emotional expressions exert an influence on infants’ RL abilities, contributing to the investigation on how emotion and cognition interact in face processing during infancy.     

Modeling the Influence of Language Input Statistics on Children's Speech Production

We trained a computational model (the Chunk-Based Learner; CBL) on a longitudinal corpus of child–caregiver interactions in English to test whether one proposed statistical learning mechanism—backward transitional probability—is able to predict children's speech productions with stable accuracy throughout the first few years of development. We predicted that the model less accurately reconstructs children's speech productions as they grow older because children gradually begin to generate speech using abstracted forms rather than specific “chunks” from their speech environment. To test this idea, we trained the model on both recently encountered and cumulative speech input from a longitudinal child language corpus. We then assessed whether the model could accurately reconstruct children's speech. Controlling for utterance length and the presence of duplicate chunks, we found no evidence that the CBL becomes less accurate in its ability to reconstruct children's speech with age.