Institute of Psychology, Chinese Academy of Sciences
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Adverse childhood experiences and adolescent hypocrisy: the chain mediating role of self-depletion and self-control
No full text目的：探讨儿童期不良经历（adverse childhood experiences，ACE）对青少年伪善（hypocrisy）的影响，以及自我控制和自我损耗的链式中介作用。方法：基于生态系统理论和链式中介模型理论，通过整群随机抽样方法对来自湖南省、江苏省、上海市、福建省十二所学校初一到大二学生726人使用童年期不良经历量表（ACES）、自我控制量表（SCS）、自我调节疲劳量表（SRF-S）和道德伪善问卷进行问卷调查。结果：多变量logistic回归表明，①童年期不良经历显著正向预测青少年道德伪善( β = 0.074，P < 0. 001)；②自我损耗（β = 0.81，P < 0. 001）与自我控制（β = -0.352，P < 0. 001）分别在童年期不良经历和青少年伪善行为中起部分中介作用，占总效应的比值分别为1.27%和29.10%；③童年期不良经历还可以通过自我损耗和自我控制组成的链式中介（β =0.004，P < 0. 001）间接影响青少年的伪善行为，效应占比为2.53%。结论：童年期不良经历不仅是影响青少年伪善的重要外部因素，且分别通过影响青少年的自我控制和自我损耗对伪善产生间接作用。研究为理解青少年的伪善行为提供了新视角，提示可通过避免和减少童年期不良经历来预防青少年道德伪善。</p
The Influence of Basic Psychological Needs on the Development of Good Study Habits:The Chain Mediating Role of Intrinsic Learning Motivation and Self-Control
No full text目的 探讨基本心理需求对于学习习惯的影响，以及内部学习动机和自我控制在其中的中介作用。方法 2021年9～10月，使用基本心理需要量表、学习动机问卷、学习习惯量表和自我控制双系统量表，采用整群抽样方法，对内蒙古库伦旗地区学生进行问卷调查。结果 基本心理需求、内部学习动机、自我控制和学习习惯彼此之间呈正相关（r=0.63,r=0.78,r=0.61,P<0.01）。基本心理需求正向预测良好学习习惯的养成（β=0.43,P<0.01）、内部学习动机（β=0.46,P<0.01）和自我控制（β=0.18,P<0.01），内部学习动机正向预测自我控制（β=0.38,P<0.01）和良好学习习惯的养成（β=0.50,P<0.01），自我控制正向预测良好学习习惯的养成（β=0.21,P<0.01）。内部学习动机（β=0.231,95%CI[0.209,0.254]）和自我控制（β=0.038,95%CI[0.028,0.048]）分别在基本心理需求和学习习惯之间起中介作用。内部学习动机和自我控制链式中介基本心理需求和学习习惯的关系（β=0.035,95%CI[0.028,0.043]）。结论 基本心理需求的提高会提升个体的内部学习动机和自我控制，进而促进学生良好学习习惯的养成。</p
甲基苯丙胺成瘾人员心理渴求干预方法的研究概况与进展
No full text本文总结了甲基苯丙胺成瘾人员心理渴求干预领域成果。以中国知网、万方等为途径，利用统计分析方法对174篇相关文献进行特点分析和进展总结。经颅直流电刺激、经颅磁刺激、虚拟现实、运动康复等技术方法是当前甲基苯丙胺成瘾人员心理渴求干预的主要方法；该领域高影响力的文章共计89篇，分别为经颅磁刺激治疗、运动疗法、其他疗法；应用类占92.0%；学科类型占64.4%;2021年后发文呈下降趋势。现有文献偏重应用型和实证型研究，基础研究薄弱；多聚焦于经颅磁治疗、运动疗法，未来应更注重该领域基础理论研究，并加强多元化的戒治方法探索。</p
Characteristics of cognitive empathy and affective empathy in pupils with high levels of autistic traits
No full text目的:探讨高孤独特质小学生在共情和心理推理能力的认知和情感2个维度的社会认知功能特征。方法:选取某小学五年级学生174名，根据孤独症谱系商数量表(AQ)得分的四分位数划分高低孤独特质组[AQ得分≥25分和AQ得分≤18分],每组43名，均完成认知与情感共情问卷(QCAE)、人际反应指针量表和病人健康问卷抑郁量表，同时采用Yoni和失言觉察任务考察心理推理能力。结果:高孤独特质小学生的QCAE认知共情、情感共情维度得分均低于低孤独特质小学生(均P<0.01);2组小学生在Yoni和失言觉察任务的认知心理推理能力、情感心理推理能力上差异均无统计学意义(均P>0.05)。结论:高孤独特质小学生的社会认知共情层面可能呈现较差的认知共情和情感共情，但心理推理能力可能不低于同龄人的平均水平。</p
Prosocial behavior and reputation: how and when does helping a high-power recipient backfire?
No full textPeople are motivated to do good deeds to improve their reputation as a benevolent person. When prosocial behavior occurs within power hierarchies, some research suggests that helping high-power (versus low-power) recipients undermines the prosocial actors' reputation because it elicits lower perceptions of actors' authentic altruistic motivation. Nevertheless, prior research has predominantly focused on Western countries characterized by low power distance. Little is known about whether these findings hold in China, a society characterized by high power distance (i.e., emphasize highly on hierarchical social structures and respect for the powerholders). The current research investigated the generalizability of this negative effect in China and further explored whether this effect can be attenuated by some potential interventions or avenues. Across five studies (total N = 1,115), we consistently find that an actor who helps a higher-power person is perceived as less authentically motivated to care about others' welfare, and thus gains a less prosocial reputation in China. Moreover, the salience of actors' demonstration of authentic motivation (Study 2), the absence of recipients' direct reciprocity (Study 3a and a pre-registered Study 3b), and actors' previous good reputation (Study 4) can enhance actors' prosocial reputation through eliciting higher perceived authentic motivation, and serve to attenuate the negative effect of recipients' power on actors' prosocial reputation. These findings underscore the importance of actors' authentic motivation and cues indicating authentic motivation in reputation formation process when people act prosocially toward others, and therefore provide practical implications for solutions that encourage prosocial behavior
Neural correlates of how egoistic, altruistic, and mixed motivations modulate the influence of self-deception on deceptive behavior
No full textUsing event-related potentials, this study investigated the interplay between self-deception and varying motivations in influencing deceptive behavior. Participants in either the self-deception or nonself-deception condition were instructed to make deceptive decisions under different motivational contexts. Behavioral responses and neural activity were recorded throughout the decision-making process. Behaviorally, there were no significant differences in deception proportions between the self-deception and nonself-deception conditions under egoistic or mixed motivations. However, under altruistic motivation, participants in the self-deception condition engaged in more deceptive behavior compared to those in the nonself-deception condition. Event-related potential results revealed no significant differences in P2 and N2 amplitudes between the self-deception and nonself-deception conditions under egoistic or mixed motivations. However, under altruistic motivation, the self-deception condition was associated with reduced P2 amplitudes and more negative N2 amplitudes relative to the nonself-deception condition. Additionally, no significant interaction in P3 amplitudes was found between self-deception and different motivations. These findings suggest that the effect of self-deception on deceptive behavior is modulated by different motivations. Specifically, egoistic or mixed motivations might be associated with a self-serving tendency in deceptive behavior, while altruistic motivation appeared to enhance deceptive behavior in the self-deception condition, potentially to foster a prosocial image
Perceived Organizational Support and Ex-employee citizenship behavior: A Moderated Mediation Model
No full text企业离职现象日益普遍，且不同离职员工对前雇主的影响存在显著差异，包括积极与消极两方面。为促进离职员工对前雇主产生积极影响，本文基于社会交换理论与感恩的道德情感理论，通过两个研究探讨了组织支持感与离职员工公民行为之间的关系及其边界条件，重点分析了员工感恩在其中的中介作用以及成长型思维在组织支持感与员工感恩之间的调节作用。
两个研究均采用成熟量表编制问卷，并通过问卷星对中国员工进行完全匿名的问卷调查。研究一采用同时取样方法，从国内一家中小型科技公司收集到321 份有效问卷；研究二采用两阶段取样方法，从多家公司收集到176份有效问卷。
使用SPSS和Amos软件进行数据分析，研究一的结果表明：组织支持感与离职员工公民行为、组织支持感与员工感恩、员工感恩与离职员工公民行为之间均存在显著正相关关系，且员工感恩在组织支持感与离职员工公民行为之间起部分中介作用。在此基础上，进行的研究二发现：成长型思维负向调节组织支持感与员工感恩之间的关系。具体而言，员工在高成长型思维水平时，低组织支持感激发更高的感恩；员工在低成长型思维水平时，高组织支持感激发更高的感恩。此外，成长型思维负向调节了组织支持感通过员工感恩对离职公民行为的间接影响。
本文的研究揭示了组织支持感与离职员工公民行为之间的中介机制、组织支持感与员工感恩之间的边界条件，拓展了组织公民行为理论，并丰富了成长型思维在组织心理学中的应用。</p
Intergenerational Transmission of Body Functionality Appreciation between Mothers and Their Emerging Adult Daughters: The Moderating Role of Media Ideal Body Image Pressure — A Machine Learning Approa
No full textWith the rapid expansion of algorithm-curated short video platforms, discussions have intensified over their potential to contribute to excessive use and to influence employees’ mental health in occupational settings. This study explores how algorithmic video consumption impacts mental health outcomes-specifically depression, anxiety, and fatigue-among working adults. Using a computational behavioral modeling approach, we propose a moderated mediation model where loneliness leads to distress via video addiction, moderated by self-efficacy. Data from 559 employees in China were analyzed, incorporating behavioral features such as usage time, context, and content preference. Evidence from SEM revealed that loneliness influenced distress indirectly, while self-efficacy moderated this association. To inform the development of platform-side mechanisms for mitigating overuse, we present a conceptual framework for behavioral signal extraction, aimed at converting passive usage data into predictive digital biomarkers. These findings inform the design of algorithm-aware intervention systems that support employee mental well-being in digital environments.</p
How AI Alleviates Woes: The Impact of Chatbot Relational Cues on Emotional Interaction Experiences
No full textThe relationship between humans and AI has evolved into a phase of deep integration, with the latest generation of text-based chatbots increasingly serving as trusted companions for emotional support. Relational cues (features in chatbots designed to simulate human emotional and social behaviors) reflect the core characteristics of human social existence and play a crucial role in enhancing human-AI emotional interactions. This research employs a mixed-methods approach to explore how relational cues shape human-AI emotional interaction experiences. Study 1 selected common indicators of emotional interaction experience and used an experimental method (n = 196), which showed that relational cues significantly increased users’ emotional arousal, system usability, emotional attachment and human-AI trust. Moreover, mind perception exerted a negative moderating effect on the relationship between relational cues and pleasure, arousal, dominance, emotional attachment and usability. Furthermore, the efficacy of specific types of relational cues (particularly empathy) was stronger in extreme negative emotional events compared to moderate ones. Study 2 used an online survey method (n = 25) and further revealed that relational cues can improve mood, enhance perceived realism, foster intimacy, and elevate conversational quality. These improvements collectively contributed to enhancements in multifaceted emotional interaction experiences. It is worth noting that empathy cues exhibited the most positive effect in both studies. These findings highlight the beneficial role of relational cues in human-AI emotional interactions and their boundary conditions, providing a theoretical foundation for emotional agent design from the perspective of chatbot, users, and event.</p
A methodological guideline for consciousness assessment via neural electrophysiological activity
No full textBackgroundPhysiological, pharmacological, and pathological alterations of consciousness provide critical windows into its neural substrates. Given the inherent complexity and multidimensionality of consciousness, defining quantitative, dynamic signatures of neural activity, and translating them into clinically applicable tools remains challenge. This study aimed to build an electroencephalography (EEG)-based methodological guideline for clinical consciousness assessment.MethodsEEG signals were systematically categorized across periodic and aperiodic activity, connectivity and network topology, spatiotemporal dynamics, self-organized criticality, and transcranial magnetic stimulation (TMS)-evoked responses. These biomarkers were mapped onto a conceptual framework of consciousness, comprising wakefulness and internal/external awareness, based on their validation across clinical conditions. The discriminative efficacy of various biomarkers was then evaluated across 4 independent datasets.ResultsIntegrated EEG features each captured distinct yet complementary dimensions of consciousness, supporting a unified neurophysiological architecture underlying diverse alterations of consciousness. Spectral power and peak frequency tracked the loss of consciousness during propofol anesthesia and sleep. Steeper aperiodic slopes, loss of frontoparietal connectivity, disrupted small-world organization, and reduced effective dimensionality were particularly effective in distinguishing minimally conscious state (MCS) from unresponsive wakefulness syndrome (UWS). Additionally, spatiotemporal patterns exhibited consciousness-specific alterations, with both pharmacological and pathological alterations influencing specific microstate dynamics.ConclusionsSynthesizing integrated neural dynamics and multidimensional consciousness, this guideline establishes both methodological and theoretical foundations for translating neurophysiological biomarkers into clinical applications. While this work advances both conceptual clarity and practical methodology, large-scale validation across expanded clinical cohorts, experimental models, and multimodal platforms is essential to fully establish causal linkages and translational utility
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