内外源性空间注意对多感觉整合的影响

本文采用内-外源性空间线索靶子范式, 操控内源性线索有效性(有效线索、无效线索)、外源性线索有效性(有效线索、无效线索)、目标刺激类型(视觉刺激、听觉刺激、视听觉刺激)三个自变量。通过两个不同任务难度的实验(实验1: 简单定位任务; 实验2: 复杂辨别任务)来考察内外源性空间注意对多感觉整合的影响。两个实验结果均发现外源性空间注意显著减弱了多感觉整合效应, 内源性空间注意没有显著增强多感觉整合效应; 实验2中还发现了内源性空间注意会对外源性空间注意减弱多感觉整合效应产生影响。结果表明, 与内源性空间注意不同, 外源性空间注意对多感觉整合的影响不易受任务难度的调控; 当任务较难时内源性空间注意会影响外源性空间注意减弱多感觉整合效应的过程。由此推测, 内外源性空间注意对多感觉整合的调节并非彼此独立、而是相互影响的。     

“Doing Good” versus “Being Good”: The interplay between pride appeals and regulatory-focused messages in green advertising

Many consumers feel proud of making green choices, which is of crucial relevance to explaining environmentally responsible behaviors. However, compared to other self-conscious emotions, such as guilt and shame, little research attention has been paid to the role of pride in green consumerism. Through conducting two online experimental surveys, this research examined what features of a message induce the two facets of the emotion pride—authentic and hubristic—and how pride appeals interact with message frames having different regulatory foci. In Study 1, participants revealed more favorable eco-friendly attitudes and intentions when hubristic pride appeals were combined with promotion-focused messages (detailing the positive benefits of using the green product), and when authentic pride appeals were matched with prevention-focused messages (emphasizing the negative consequences averted by using the green product). Study 2 replicated and supported the proposed matching hypotheses while including a control condition. Findings of this research will add to a growing body of literature on pride as a discrete emotion and its carryover effects on persuasion while providing guidelines to help practitioners design green advertising campaigns.     

中国人限制性饮食和食物渴求的认知神经机制

物质丰富的时代, 如何抵御美味食物线索带来的食物渴求, 并限制饮食从而保持健康成为人们关注的重要话题之一。近年来, 国内学者为了探讨节食成功的原因, 创建中国食物图片库, 考察限制性饮食的认知神经机制, 以及成功和失败限制性饮食者的脑机制差异; 开展了特质食物渴求及中国特色的辣食渴求的认知神经研究。对推进饮食行为研究的理论发展, 也为肥胖、饮食失调等健康干预工作提供重要支持。     

教与学的大脑：人际神经科学助推教育研究

如何从神经生理层面刻画教育活动的人际互动模式和动态性是教育神经科学面临的一个重要挑战。人际神经科学视角为其提供了可能的解决途径; 这一新兴的视角通过记录和分析进行同一认知活动时两人或多人大脑活动之间的关联, 来揭示大脑活动的群体模式。目前, 人际神经科学方法已被应用于教育研究, 例如监控教学过程、预测教学效果和识别教学影响因素, 相应的研究成果对教育活动具有重要启示。未来的研究者可以更多地关注不同学习水平的学生大脑的互动机制及人际神经科学方法应用于技能教学及线上教学评估的巨大潜力。     

刷微博，让焦虑的人更焦虑——特质焦虑对青少年注意情绪刺激的影响

采用自由观看眼动追踪范式,考察特质焦虑青少年在观看情绪面孔图片过程中的眼动轨迹。结果发现,高特质焦虑组对愤怒和恐惧面孔的首次注视到达时间（TFF）较快,首次注视持续时间（TFD）较短;低特质焦虑组对愤怒和恐惧面孔的TFF虽然稍早于平静面孔,但差异不显著。在刺激呈现1000ms之后,高特质焦虑组对愤怒和恐惧面孔的注视次数（FC）较多,平均注视持续时间（AFD）较短。低特质焦虑组对愤怒和恐惧面孔的FC较少,AFD较长;这就表明,高特质焦虑青少年在认知加工早期对威胁性刺激注意定向加速,没有注意解除困难,呈现“浅尝辄止”现象。而在认知加工晚期,他们则对威胁性刺激存在“反刍”现象。     

伦理调节、个体德性与我国的收入分配

收入分配制度改革是当前党中央国务院的重大决策,也是我们面临的亟待解决的社会问题。收入分配调节除政府与市场外,不可忽视的重要力量就是伦理调节。本文分析了伦理调节必须依赖于内化的个体德性以及伦理调节的重要作用,总结了伦理调节的基本方式,对收入分配体制改革提出了新思路。     

Effects of Gender and Appearance Comparisons on Associations Between Media-Based Appearance Pressure and Disordered Eating: Testing a Moderated Mediation Model

Sex Roles - Appearance pressure from mass media and appearance social comparisons have been implicated in theory and research on disordered eating. However, mediating effects of upward and downward...     

Psychometric and Validity Issues in Machine Learning Approaches to Personality Assessment: A Focus on Social Media Text Mining

In the age of big data, substantial research is now moving toward using digital footprints like social media text data to assess personality. Nevertheless, there are concerns and questions regarding the psychometric and validity evidence of such approaches. We seek to address this issue by focusing on social media text data and (i) conducting a review of psychometric validation efforts in social media text mining (SMTM) for personality assessment and discussing additional work that needs to be done; (ii) considering additional validity issues from the standpoint of reference (i.e. ‘ground truth’) and causality (i.e. how personality determines variations in scores derived from SMTM); and (iii) discussing the unique issues of generalizability when validating SMTM for personality assessment across different social media platforms and populations. In doing so, we explicate the key validity and validation issues that need to be considered as a field to advance SMTM for personality assessment, and, more generally, machine learning personality assessment methods. © 2020 European Association of Personality Psychology