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ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

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    Conceptual Framework
    Micro-expression analysis for practical applications: From data acquisition to intelligent deployment
    LI Jingting, ZHAO Lin, DONG Zizhao, WANG Su-Jing
    2025, 33 (11):  1837-1853.  doi: 10.3724/SP.J.1042.2025.1837
    Abstract ( 547 )   HTML ( 55 )  
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    Micro-expressions, as facial cues that leak an individual's true emotions during attempts at concealment, hold significant promise for applications across diverse fields such as medical care, public safety, and national security. However, the practical deployment of intelligent micro-expression analysis is currently hampered by several critical issues. These include the scarcity of large-scale datasets, the suboptimal performance of analytical models on complex real-world samples, and the inherent data privacy and transmission limitations found in many application scenarios. These challenges collectively constrain the real-world implementation of this technology.

    To advance the use of intelligent micro-expression analysis as a non-contact, imperceptible method for emotion monitoring in specific contexts, this research will undertake theoretical and technical investigations in the following areas. Faced with the dual challenges of scarce high-ecological-validity micro-expression data and a need for a deeper understanding of their behavioral and physiological mechanisms in specific application contexts, this study first builds upon a foundation of psychological research to investigate micro-expression mechanisms within interactive settings. We design effective experimental paradigms to elicit micro-expressions under varying conditions of ecological validity, including a "video-induced paradigm," an "intentional deception paradigm in an interactive context," an "active lying paradigm," and a "mock crime paradigm." By employing high-definition cameras, depth cameras, thermal imagers, and polygraphs, we will conduct comprehensive recordings of participants' facial expressions, body posture, and physiological changes. The objective is to construct a micro-expression database that is multi-modal, multi-view, multi-scenario, and possesses high ecological validity. Subsequently, to overcome the time and labor-intensive nature of manual coding, we will develop an auxiliary coding system based on a perifacial electromyography to efficiently build this large-scale database. Based on the collected data, we will then analyze the behavioral and physiological patterns of micro-expressions across different interactive situations.

    In video data captured in realistic and complex environments, facial muscle movements resulting from head pose variations and speech-related mouth articulations are common confounding factors in micro-expression spotting. As brief and subtle facial movements, micro-expressions can be easily obscured by more pronounced head movements, which can distort their temporal and spatial features and lead to reduced accuracy and recall rates for spotting algorithms. This research develops efficient, plug-and-play processing algorithms to accurately distinguish and filter out facial muscle actions caused by head movement and speech, thereby ensuring the precise extraction of micro-expression features. Thereafter, to effectively address the prevalent small-sample-size problem in micro-expression analysis, this study proposes a self-supervised learning model tailored for the vertical domain of micro-expressions, building upon large-scale models. Leveraging advancements in large vision models, we will construct a two-stage downstream task structure within this specific domain. First, the model will learn the patterns of facial motion by learning the intensity of facial action units from a large volume of unlabeled expression data. Subsequently, the model will be fine-tuned on the micro-expression recognition task using a small amount of labeled data, thereby overcoming the limitations of small sample sizes. By harnessing the powerful image feature extraction capabilities of large models, our approach will progressively learn facial motion patterns and micro-expression features to enhance recognition performance.

    Given that applications of intelligent micro-expression analysis often involve data security concerns, we will employ an asynchronous federated learning deployment strategy. This approach enables model training on data from diverse sources without directly sharing the raw data, thereby enhancing the model's generalization capabilities and accuracy. Federated learning not only ensures data security and privacy but also allows the model to learn from multi-source data to improve its performance. Furthermore, at the client level, the model's adaptability to small sample sizes and specific scenarios will be further enhanced through a combination of self-supervised and reinforcement learning. This architecture facilitates effective model training and updates while adapting to dynamic application environments. It will strongly promote the advancement of micro-expression analysis technology and provide a solid security foundation for its implementation in sensitive fields.

    Through the interdisciplinary fusion of psychology, computer science, and other fields, this research aims to establish an application framework for intelligent micro-expression analysis built upon a solid theoretical foundation. Research addressing these needs will not only enhance the performance of micro-expression analysis technology but will also foster the development of non-contact, imperceptible mental state monitoring applications in real-world settings.

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    How parenting motivation influence pro-social behavior? A cognitive-energetics model from the perspective of evolutionary adaptation
    LIU Nan, QIU Yuting, DONG Zhiqiang, LI Aimei
    2025, 33 (11):  1854-1869.  doi: 10.3724/SP.J.1042.2025.1854
    Abstract ( 428 )   HTML ( 44 )  
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    Prosocial behavior—acts intended to benefit others, such as helping, donating, and volunteering—is essential for the functioning of societies. However, empirical studies have repeatedly shown that individuals are often reluctant to engage in prosocial behaviors. In response to this challenge, the present research introduces parenting motivation, a concept rooted in evolutionary psychology, as a novel lens through which to understand and promote prosocial behavior. Parenting motivation refers to an evolved motivational system that drives individuals to act in ways that benefit offspring and enhance genetic fitness. While previous studies have examined its influence on avoidance-oriented behaviors, such as risk aversion and social vigilance, little research has explored how parenting motivation may extend beyond parenting contexts to promote prosocial behavior more broadly.

    Drawing on theories of evolutionary adaptation and cognitive energetics, we propose that parenting motivation would promote prosocial behavior through a “cognitive-energetics” dual-pathway model. This model suggests that parenting motivation enhances prosocial behavior via two mechanisms: (1) a cognitive pathway that increases communal orientation, and (2) an energetic pathway that boosts individuals’ perceived coping ability—specifically, through the motivational emotion of hope. We aim to test this theoretical model across three studies. Study 1 provides initial support for the link between parenting motivation and prosocial behavior using multiple methods. Study 2 examines the underlying mechanisms through which parenting motivation promotes prosocial behavior. Study 3 translates our theoretical insights into practice by implementing a field experiment to test whether a parenting motivation-framing message can enhance real-world prosocial behavior compared to a neutral message.

    This research makes several theoretical contributions. First, it contributes to the literature on prosocial behavior by introducing a novel antecedent—parenting motivation. While previous studies have examined the determinants of prosocial behavior from individual, social, and situational perspectives, none has specifically investigated the role of parenting motivation. Moreover, unlike prior research that has primarily focused on self-interest or altruism as motivational underpinnings of prosocial behavior, this study adopts an evolutionary adaptation perspective, proposing that parenting motivation drives prosocial behavior via a dual cognitive-energetic pathway. By conceptualizing prosocial behavior as a response to adaptive opportunities, this study offers a fresh explanatory framework and a valuable reference point for future research.

    Second, the study elucidates the specific cognitive-energetic mechanisms through which parenting motivation promotes prosocial behavior. Cognitive-energetic theory, typically used to explain behaviors that involve personal cost, persistence, or effort, is here applied to a new context—illuminating how parenting motivation fosters prosocial action. This not only broadens the applicability of the theory but also identifies two distinct pathways. The cognitive pathway: Parenting motivation leads individuals to construe their relationship with recipients of help in terms of communal (vs. exchange) orientation, thereby enhancing prosocial tendencies. This also contributes to the theory of communal relationships. The motivational pathway: Parenting motivation, as an evolutionary adaptation, redistributes individuals’ behavioral energy toward adaptive opportunities, such as prosocial behavior. It does so by eliciting hope, which in turn energizes prosocial behavior.

    Third, this study also enriches the broader literature on parenting motivation. Unlike earlier studies that have predominantly focused on avoidance-oriented behaviors driven by parenting motives—such as heightened risk aversion and increased caution—this research highlights how parenting motivation may also trigger opportunity-seeking behaviors conducive to offspring thrive, namely prosocial behavior. Additionally, by demonstrating that parenting motivation promotes prosocial behavior via a cognitive-energetic mechanism, the study extends the explanatory scope of parenting motivation and deepens our understanding of its behavioral implications.

    Finally, this work offers practical implications for public policy and social marketing: activating latent parenting motives through targeted messaging may serve as an effective and ethically sound strategy to promote prosocial behaviors in the broader population. In sum, this research highlights parenting motivation as an adaptive force that mobilizes individuals to engage in prosocial behaviors, particularly when confronted with societal or environmental challenges. By bridging evolutionary theory and practical intervention, it opens up new avenues for research and application in prosocial decision-making and behavioral nudges.

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    Setting examples and drawing inspiration from children: How parental identity enhances working mothers’ work motivation
    CHEN Leni, HUANG Xu, XU Hanhua
    2025, 33 (11):  1870-1890.  doi: 10.3724/SP.J.1042.2025.1870
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    Breaking the social stereotype that fertility is contradictory to women’s work motivation is key to addressing the dual challenges of low fertility desire and promoting women’s employment. Existing research mostly adopts the opting-out perspective, suggesting that parenthood would make women focus on child-rearing, thereby actively reducing their work motivation and even withdrawing from the workplace. Based on the work-family enrichment theory and identity research, this study challenges the opting-out perspective and proposes a parental identity enrichment theory, proposing that parental identity can be a significant source of work motivation for working mothers, thereby enhancing work performance and decreasing withdrawal.

    This research posits that parental identity enrichment operates through two mechanisms: on one hand, during pregnancy, parental identity provides meaning to working mothers by striving to become role models for their children, enhancing their parental role model motivation, which promotes their return to work and performance after maternal leave; on the other hand, working mothers with higher parental identity are deeply affected by their children’s strong motivation to explore the world(innate curiosity and intrinsic motivation), which inspires their workplace curiosity and intrinsic motivation, enhancing their performance and creativity.

    Furthermore, the study identifies the conditions that shape when parental identity enrichment occurs. We propose a multilevel framework of moderating factors that determine whether parental identity becomes a source of work motivation or creates additional burden. At the individual level, gender role attitudes shape how women interpret their parental identity. At the organizational level, family-supportive organizational culture provides cultural legitimacy for integrating parental and professional identities, while workplace role models of working mothers demonstrate successful identity integration, and work autonomy creates space for transferring child-inspired traits to work. At the family level, spousal support ensures resources for positive identity transformation.

    This project deepens the understanding of the relationship between fertility-related identity and women’s work motivation from theoretical perspectives, mechanisms, and boundary conditions, making theoretical contributions to breaking social stereotypes and providing management recommendations to boost working mothers’s work motivation.

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    The conceptualization, antecedents, and effects of proactive career behavior
    WANG Zhen, JI Xiaotong, QUAN Cheng
    2025, 33 (11):  1891-1911.  doi: 10.3724/SP.J.1042.2025.1891
    Abstract ( 539 )   HTML ( 51 )  
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    The rapid advancement of the digital intelligence era has significantly transformed the nature of work, bringing about a surge in emerging career opportunities while simultaneously increasing the complexity and uncertainty of career development. Traditional, organization-dominated linear career development path are increasingly being supplanted by individual-driven, boundaryless, and protean career paths. Within this context, proactive career behavior has become a critical strategy for individuals seeking to navigate uncertainty and achieve sustainable career development over time. Career proactive behavior refers to a series of future-oriented behaviors that individuals spontaneously adopt to influence, change, and improve their career environment and personal circumstances, thereby promoting career development.

    Although existing research recognizes the importance of career proactive behavior, there are still three primary limitations persist in this domain. First, conceptual consensus on career proactive behavior remains elusive, lacking theoretical grounding with ambiguous definitional boundaries and dimensional clarity. On the one hand, proactive career behavior is represented by several closely related terms. On the other hand, its conceptual boundaries overlap with other constructs, which calls for further clarification. At the same time, there is a lack of measurement tools that meet the standards for reliability and validity. Second, research on the antecedents of career proactive behavior often focuses on individual factors and ignores the synergistic effects of the environment and the individual. Third, the impact mechanisms of career proactive behavior remain underexplored, predominantly concentrating on proximal outcomes.

    Through a systematic literature review, this study will comprehensively explore the conceptual connotations, formation mechanisms, and influencing mechanisms of proactive behavior. Specifically, this research consists of three interrelated studies aimed at advancing the understanding of proactive career behavior. First, based on self-regulation theory, study 1 conceptualizes the construct and dimensions of career proactive behavior. We propose that proactive career behavior comprises three key components: career goal setting, career goal attainment, and career reflection and adjustment, and corresponding scales are further developed. Study 2, based on the proactive motivation model, investigates how individual, career, and organizational characteristics influence proactive career behavior through three motivational states: “can do,” “reason to,” and “energized to.” Specifically, we examined the effects of career calling, protean career orientation, career insecurity, leader career support, and coworker support on proactive career behavior. Furthermore, we investigated the mediating roles of future work self, career self-efficacy, and positive affect. This study provides a comprehensive and multi-level perspective on the antecedents of proactive career behavior. Study 3 adopts a career resources perspective to examine the long-term impact of proactive career behavior on sustainable career development. Specifically, it explores the mediating roles of four representative career resources—human capital, social capital, adaptability, and career identity—in the relationship between proactive career behavior and sustainable career outcomes.

    This study makes several theoretical contributions. First, it provides a clear conceptualization and delineation of career proactive behavior from a process-oriented perspective, laying a solid foundation for future research. Second, by offering a comprehensive and multi-level research framework, this study enriches and extends the existing literature on career proactive behavior. Third, it bridges the domains of career studies and organizational behavior by incorporating the proactive motivation model and conservation of resources theory into the investigation of career proactive behavior. This integration offers deeper insights into its antecedents and consequences, contributes new theoretical perspective. This study also offers important practical implications. The findings provide valuable insights for individuals seeking to engage in career proactive behavior and achieve sustainable career development in complex and dynamic work environments. Moreover, they offer meaningful guidance and reference for organizational management practices.

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    Research Method
    Measurement of cognitive effort: An overview of methods, challenges, and potential enhancements
    YANG Yilin, YANG Wendeng, ZHENG Ya
    2025, 33 (11):  1912-1825.  doi: 10.3724/SP.J.1042.2025.1912
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    Cognitive effort is the active and volitional mental investment that individuals make during the process of processing information, engaging in thinking, and making decisions, in order to override established habits and achieve intended goals. This effort not only encompasses the degree of engagement demanded by high-demand tasks but is also typically accompanied by an aversive subjective experience. Research on cognitive effort has a long history, yet the concept of cognitive effort remains insufficiently clear. Although it is not equivalent to motivation, willpower, or difficulty, nor is it equivalent to attention or cognitive control, it is closely related to these concepts. Currently, academic circles have carried out a large number of empirical studies on cognitive effort from different perspectives. Based on different research purposes, these empirical studies have different understandings of the concept of cognitive effort, highlight different dimensions of the connotation of cognitive effort, and propose significantly different operational definitions, thereby developing a variety of different measurement methods and experimental paradigms. On the whole, they have promoted the research on cognitive effort, but they vary in terms of measurement indicators, manipulation of the core functions of cognitive effort and effort levels, etc., which makes the academic circle lack recognized, repeatable measurement methods and experimental paradigms that can accurately adapt to the multidimensional characteristics of cognitive effort.

    In summary, the current measurement methods can be categorized into self-report scales (2 types) and experimental methods (11 types). The self-report scales include the Need for Cognition Scale and the NASA Task Load Index. According to the differences in the core cognitive functions involved in the measurement methods of cognitive effort, experimental methods can be divided into the following four categories: experiments based on working memory (including N-back Task, Cognitive Challenge Task, and Cognitive Effort Motivation Task), experiments based on response conflict (including Cognitive Performance Task, Number Judgment Task, and Simon-like Dot-Motion Conflict Task), experiments based on attention (including Number Switching Task, Rapid Serial Visual Presentation Task, Odd-ball Discrimination Task, and Visual Blur Search Paradigm), and experiments based on digital operation (containing Mental Arithmetic Task in two forms).

    However, self-report scales still have the following inadequacies: although these two scales have been widely applied in the research on cognitive effort, since the initial purpose of developing these scales was not to measure cognitive effort, the validity and reliability of their application in the actual research within the field of cognitive effort still remain to be examined. Furthermore, the accuracy and reliability of the measurement results of the scales are not only prone to be interfered by factors such as individuals' metacognitive abilities but also easily affected by individual differences, testing environments, and cultures. Experimental methods also have certain flaws: if the manipulation of cognitive effort and difficulty in the experimental design is inappropriate, it will easily lead to the confusion between the two; differences in cognitive abilities among individuals will influence their perception of task difficulty; different difficulty levels of experimental tasks are likely to cause the time discount effect; in addition, the theoretical heterogeneity of cognitive effort results in the diversification of measurement methods, and the validity of each measurement tool needs to be verified. Based on the complexity of the subjective cost of cognitive effort, there are currently three main theoretical models regarding the cost of cognitive effort: the internal cost model, the opportunity cost model, and the signal model. The internal cost model focuses on explaining why individuals are willing to invest more cognitive effort to achieve their goals; the opportunity cost model focuses on explaining why individuals are willing to give up other opportunities to reach their goals; the signal model focuses on explaining why individuals are willing to choose to complete something that they did not want to do originally.

    Future research should enhance the accuracy and reliability of the use of scales; integrate interdisciplinary technologies to separate cognitive effort from difficulty levels; dynamically calibrate individual differences and conduct multi-modal verification of cognitive effort; innovate measurement theories and methods to meet different research needs.

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    Meta-Analysis
    Predicting fertility intentions with the Theory of Planned Behaviour: A three-level meta-analysis
    LIANG Ying, ZHAO Hejun, ZHAO Baoxu, YUE Yunfan, HE Ning
    2025, 33 (11):  1926-1941.  doi: 10.3724/SP.J.1042.2025.1926
    Abstract ( 446 )   HTML ( 30 )  
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    Background:

    Persistently low fertility intentions among the population of young people of childbearing age represent a critical social challenge demanding urgent solutions in most nations. The Theory of Planned Behavior (TPB), which emphasizes the role of socio-psychological factors and behavioral intentions in fertility decision-making and conceptualizes fertility intentions as a multidimensional construct, provides a key explanatory framework for understanding fertility behavior. While numerous studies have investigated the utility of TPB in predicting fertility intentions, its applicability in this specific domain remains debated. Findings regarding the relationships between TPB variables (attitudes, subjective norms, and perceived behavioral control) and fertility intentions are inconsistent and even contradictory. A systematic evaluation of the relationship between TPB and fertility intentions is currently lacking, making a meta-analysis to quantify the strength of this relationship and explore potential moderating factors particularly necessary.

    Objective:

    This study aimed to: (1) systematically review the application of TPB in fertility intention research; (2) employ a three-level meta-analysis to examine the strength of the associations between attitudes, subjective norms, perceived behavioral control and fertility intentions; and (3) investigate the moderating effects of gender, childbearing history(parenthood status), cultural background (individualism-collectivism), economic level (GDP per capita), and temporal framing.

    Methods:

    We conducted a scoping literature review following the following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 statement, we conducted literature search, screening, coding, quality assessment, and publication bias testing. Effect size estimation employed a three-level random-effects model implemented using the metafor package in R4.3.2, with model parameters estimated via Restricted Maximum Likelihood (REML) estimation. The sample-size-weighted average correlation coefficient (r⁺) was calculated. All correlation coefficients were converted to Fisher’s Z scores for main effect and moderation effect analyses.

    Results:

    A total of 33 studies met the inclusion criteria, comprising N = 43,427 participants and 128 independent effect sizes. Main effect analysis revealed significant positive correlations between all core TPB variables and fertility intentions. The strongest correlation was observed for attitude (r⁺ = 0.41), followed by subjective norm (r⁺ = 0.30) and perceived behavioral control (r⁺ = 0.23). Moderation analysis revealed that the strength of the associations between TPB variables and fertility intentions was significantly moderated by participant gender, childbearing history (parenthood status), and socioeconomic background (GDP per capita), but not by individualism-collectivism cultural background or temporal framing.

    Conclusions:

    (1) TPB variables (attitudes, subjective norms, perceived behavioral control) significantly predict individual fertility intentions: stronger positive expectations of fertility benefits, greater perceived social pressure, and more perceived resources for having children are associated with higher fertility intentions.

    (2) Among TPB variables, attitude is the strongest predictor of fertility intentions, followed by subjective norms and perceived behavioral control.

    (3) Gender moderates the attitude-intention relationship: The positive predictive effect of fertility attitude on intention is significantly stronger for women compared to men.

    (4) Parenthood status moderates the effects of attitude and perceived behavioral control: Compared to parents, attitudes and perceived behavioral control demonstrate stronger predictive power for fertility intentions among individuals without children.

    (5) GDP per capita significantly moderates the overall predictive efficacy of TPB variables on fertility intentions.

    (6) Individualism-collectivism cultural background and time frame did not exhibit significant moderating effects on the predictive utility of TPB variables.

    This study is the first to systematically synthesize the relationship between TPB and fertility intentions using meta-analysis. It clarifies the strength of associations between core TPB variables and fertility intentions and validates the robustness of the TPB model in fertility research. The investigation of moderating variables provides an important theoretical foundation for designing interventions to enhance fertility intentions and fostering a fertility-supportive society.

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    Regular Articles
    From action imitation to predictive processing: The dynamic neural mechanism and practical application prospect of motor contagion
    LIU Kaihang, PIAO Zhongshu, TIAN Ying, WANG Liyan, WANG Hongbiao
    2025, 33 (11):  1942-1956.  doi: 10.3724/SP.J.1042.2025.1942
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    Motor contagion, as a core mechanism of dynamic sensorimotor coupling in human social interaction, refers to the unconscious influence on one's own actions when observing others' movements, with its neural mechanisms and evolutionary significance remaining long-debated. Theoretical evolution reveals that its essence has shifted from the early “observation-execution” hard-coded imitation based on the mirror neuron system to adaptive behavioral regulation within the predictive processing framework: the brain generates predictions by constructing forward models and dynamically calibrates internal representations using error signals between actual sensory input and predictions, thereby explaining behavioral diversity ranging from imitation to strategic deviation. Within this framework, the dual-path model integrates an automatic path (unconscious imitation driven by the mirror system involving the ventral premotor cortex and inferior parietal lobule) and a conscious path (goal-directed behavior regulated by the prefrontal cortex); while the hierarchical processing model clarifies the primacy of intention—when higher-order intentions are clear, the influence of lower-order kinematic features on motor contagion diminishes. Research on neural mechanisms confirms that the mirror system initiates motor contagion through “observation-execution” neural matching, with its core functional mechanism—motor resonance—extending to intra-individual and interpersonal resonance, modulated by social cognition. Concurrently, the cerebellum plays a key role in predictive processing: its mossy fibers receive cortical prediction signals, while climbing fibers integrate real-time sensory feedback to generate prediction error signals uploaded to the cortex (forming a cortico-cerebellar loop) to update internal models. Notably, even non-biological motion cues can activate premotor cortex, highlighting the predictive system's capacity for generalization beyond biological attributes, towards physical motion laws. Social contextual factors exert fine-tuned control over motor contagion intensity via the prefrontal cortex: for instance, cooperative contexts enhance imitation (activating the left orbitofrontal cortex), while competitive contexts trigger behavioral inhibition (activating the right parietal cortex), profoundly reflecting the adaptive functionality endowed to this mechanism through evolution. The practical value of motor contagion underscores its cross-disciplinary potential: in sports, implicit observational design optimizes motor skill internalization by inducing prediction errors, and neurofeedback training enhances complex skill performance by modulating sensorimotor mu rhythms; in neurorehabilitation, action observation therapy combined with multisensory integration promotes functional reorganization of damaged neural networks by activating the mirror system, and the absence of an “interference transfer effect” can serve as a quantitative screening indicator for motor contagion deficits in autism spectrum disorder (ASD); in human-robot collaboration, leveraging motor contagion mechanisms (particularly the active inference framework), generative models can simulate intent prediction, advancing interaction paradigms from passive response towards predictive proactive synergy. Current core controversies focus on the necessity of the mirror neuron system—the occurrence of prediction error-driven behavioral deviations and effective contagion from non-biological cues suggest the mirror system may not be essential for motor contagion, but rather a replaceable node within dynamic neural networks. In summary, the essence of motor contagion lies in the dynamic interaction of perceptual, motor, and social cognitive networks under the predictive processing framework: the mirror system provides the motor resonance initiation signal, the predictive system endows behavioral flexibility through continuous minimization of prediction errors, and social context factors implement top-down adaptive regulation via the prefrontal cortex. Future research urgently requires deep interdisciplinary integration to build dynamic weighting models, combine more ecologically valid experimental paradigms, precisely quantify the regulatory effects of socio-cultural factors on motor contagion, thereby deepening the understanding of the embodied cognitive mechanisms of the “social brain” and promoting its innovative applications in fields such as digital twin training systems, neurorehabilitation, and human-robot collaboration.

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    Impacts of reproductive experience on mental processing of infant auditory cues
    WANG Xinyue, YOU Liandong, LI Ming
    2025, 33 (11):  1957-1966.  doi: 10.3724/SP.J.1042.2025.1957
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    Understanding how reproductive experience transforms the maternal brain’s processing of infant signals is a critical step in decoding the neurobiological basis of parenting. This paper provides a comprehensive and interdisciplinary synthesis of how childbirth and caregiving experiences alter mothers’ perceptual, attentional, and emotional processing of infant auditory cues—especially cries—through neural, hormonal, and behavioral lenses. By integrating findings from neuroscience, cognitive psychology, endocrinology, and evolutionary psychology, this study proposes a cohesive explanatory framework grounded in the cognitive reorganization theory, emphasizing adaptive brain remodeling to support caregiving behaviors.

    The key innovation of this paper lies in reframing the maternal response to infant cries not merely as a consequence of hormonal shifts, but as a result of an experience-driven reallocation of cognitive resources that optimize caregiving efficiency. Building on emerging evidence, the study summarizes extant research on how reproductive experience enhances mothers' sensitivity to infant cries at multiple levels—from heightened perceptual discrimination and attention bias to more pronounced emotional attunement—while simultaneously downregulating unrelated cognitive functions. These changes are underpinned by coordinated activity across distributed brain systems, particularly the auditory cortex, default mode network (DMN), prefrontal cortex (PFC), limbic system (e.g., amygdala, anterior cingulate cortex), and reward circuitry (e.g., nucleus accumbens).

    Drawing from classic experimental paradigms such as playback, Stroop, Go/No-Go, and n-back tasks, this review highlights how maternally experienced mothers show a superior ability in identifying infant distress and resisting cognitive interference from infant crying—effects not seen in non-mothers or less experienced parents. Neuroimaging findings further reveal that caregiving experience induces both structural and functional reorganization in the maternal brain, including reductions in gray matter volume in DMN-related regions during pregnancy that later rebound postnatally. These dynamic changes optimize attentional filtering and emotional reactivity to infant needs, supporting the idea of a U-shaped trajectory of neuroplasticity.

    The paper also underscores the role of neuroendocrine systems in shaping maternal responsiveness. Oxytocin, prolactin, dopamine, and endogenous opioids jointly orchestrate emotional resonance, stress regulation, and reward reinforcement associated with infant care. Notably, the paper introduces the concept of a dual neuroendocrine axis—comprising the cortisol-opioid (CORT-EO) and dopamine-opioid (DA-EO) systems—that modulates both stress and reward pathways in response to infant cues. This bidirectional regulatory mechanism helps sustain maternal sensitivity while protecting the brain from chronic caregiving stress. The integration of less-explored neurotransmitters like serotonin into this framework further advances our understanding of affective synchronization between mothers and infants.

    Crucially, this paper expands the application of cognitive reorganization theory by situating it within an evolutionary-developmental framework. It argues that maternal brain changes—once dismissed as cognitive decline or “mommy brain”—represent adaptive resource reallocation that privileges survival-relevant processes such as threat detection, emotion recognition, and social bonding. These reorganizations serve dual functions: they not only enhance infant care but also protect the mother’s own psychological well-being. Importantly, the functional changes in the maternal brain and cognitive reorganization are not merely altruistic sacrifices for the benefit of offspring. Neuroendocrine regulation and cognitive reorganization also act through multiple pathways to ensure that mothers are protected from negative neural impacts or psychological dysfunction as a result of long-term caregiving demands. Thus, cognitive reorganization theory not only highlights how neuroplasticity helps mothers better nurture their infants, but also emphasizes that the restructuring of psychological and cognitive functions in support of maternal behavior concurrently promotes the inclusive fitness of both mother and child. The review also points to cultural and experiential modulation of these neural patterns, offering a socially nuanced view of maternal neuroplasticity.

    In addition to consolidating current knowledge, the paper identifies significant gaps and proposes a future research agenda. It calls for high-ecological-validity studies using virtual reality and multimodal imaging to simulate real-world caregiving contexts. It advocates for longitudinal, multilevel investigations that integrate brain imaging, hormonal assays, genetic polymorphisms, and behavioral coding to chart how maternal cognition evolves across time and across individuals. Finally, it suggests experimental manipulations—such as pharmacological modulation of oxytocin and dopamine functions—to elucidate the causal roles of neurochemicals in maternal motivation and emotion regulation.

    In conclusion, the present paper contributes a novel and integrative perspective on the cognitive and neural reorganization of the maternal brain, moving beyond simplistic hormonal explanations to highlight dynamic, experience-driven adaptations. By characterizing maternal sensitivity as a biologically embedded yet socially modulated process, it offers a fresh perspective for understanding postpartum mental health, early intervention for parenting challenges, and the neurobiological mechanisms underlying maternal caregiving behaviors across cultures.

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    The characteristics of cognitive disengagement syndrome: A comparative analysis with attention deficit hyperactivity disorder and other related disorders
    CAI Jialin, CHEN Caiqi
    2025, 33 (11):  1967-1982.  doi: 10.3724/SP.J.1042.2025.1967
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    Cognitive Disengagement Syndrome (CDS), also referred to as Sluggish Cognitive Tempo (SCT), involves a set of developmentally inappropriate and persistent behaviors (symptoms) that is characterized by attentional disengagement, conscious or effortful mental processing from the ongoing external context and hypoactivity. It is an emerging field that accompanies attention deficit hyperactivity disorder research.

    Recently, Becker (2025) provided a broad overview of the history of the CDS construct, its terminology, and the current state of the science, and proposed ten key research domains and open questions. These include developmental course of CDS across the lifespan, mechanisms linking CDS to functional outcomes and impairment and so on. The study also discussed the possible conceptualizations of CDS as a distinct disorder, diagnostic specifier, or transdiagnostic dimension. However, Becker (2025) did not provide a detailed review of CDS cognitive function, only outlining research on CDS and processing speed. The review also did not address research into the brain mechanisms of CDS or systematically summarize the unique characteristics of CDS relative to other disorders. Therefore, this paper aims to further analyze the independent characteristics of CDS, based on Becker's (2025) theoretical framework, and clarify areas of consensus and disagreement.

    This study reviews cognitive functioning impairment, social functioning impairment, and neural mechanisms of CDS and other related disorders. Studies on cognitive functioning impairment suggest that people with CDS exhibit impairments in mind wandering and behavioral regulation (e.g., self-control, emotional regulation, motivation). They also have difficulties with metacognition, such as time management, organization, problem solving, and working memory. However, further exploration is needed in areas such as attention networks, selective attention, and processing speed. Research on social functioning impairment indicates that the CDS population exhibits impairments in academic performance, sleep, peer rejection, and internalizing symptoms, such as anxiety, depression, withdrawal/shyness, autistic traits, and somatic discomfort. They also have difficulties with externalizing symptoms, such as oppositional defiant disorder, impulsivity, and aggression. Further research is required into areas such as procrastination, internet gaming disorder, and social anxiety. In terms of neural mechanisms, most evidence suggests that CDS is associated with abnormalities in the dorsal attention network and the default mode network. CDS also differs from ADHD groups in terms of white matter structure, theta/beta ratio (TBR) in the frontal and central frontal regions, and task-activated brain regions. However, these findings require further validation. In summary, a growing body of evidence supports the conceptualization of cognitive disengagement syndrome as a standalone mental disorder characterized by cognitive and social functioning impairment, and distinct brain mechanisms compared to ADHD and related disorders.

    However, CDS research remains in its early stages of development, and future research can explore the following areas: (1) Clarify CDS as an independent disorder, further elucidate the specific impairments and heterogeneity in cognitive and brain function associated with CDS compared to other related psychological disorders. It is also necessary to further distinguish the differences and connections between CDS and broader related psychological symptoms; (2) Focus on the developmental course of CDS characteristics across the lifespan, supplementing samples from early childhood, adolescence, and adults who are not university students. Conduct longitudinal studies to measure and track CDS throughout childhood development, enabling a more comprehensive observation of the course of functional impairments and brain mechanisms in CDS populations over time, and revealing the dynamic patterns of CDS characteristics; (3) Clarify whether CDS is a unidimensional or multidimensional structure. In addition to exploring the relationship between the overall CDS construct and its subdimensions, research should focus on how to integrate the abundant existing research on these subdimensions into a comprehensive CDS theoretical framework; (4) Enrich CDS research methods. Future research should incorporate more sensitive or ecologically valid subjective and objective methods and explore the potential adaptive significance of CDS characteristics from a positive psychology perspective. Additionally, behavior and brain mechanism studies can be conducted based on the latest definition of CDS to further explore the interactions between CDS functional impairment characteristics and their causal process models, thereby revealing the underlying mechanisms of CDS-specific functional impairments.

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    The social connection effects of being moved and their theoretical explanations
    YUE Tong, WANG Hong, TIAN Xingjiang, WU Ting, FU Anguo, ZHOU Yanpeng
    2025, 33 (11):  1983-1992.  doi: 10.3724/SP.J.1042.2025.1983
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    The emotion of being moved has recently attracted increasing attention in psychology due to its unique capacity to promote social bonding. While preliminary studies have suggested that the experience of being moved can facilitate interpersonal connection and prosocial behavior, current literature lacks a systematic framework that captures the multilayered nature of its social effects and explains the underlying psychological mechanisms. This review addresses this theoretical gap by proposing a dual-layered model of the social bonding effects of being moved and by integrating two distinct theoretical pathways to explain how such effects occur.

    A core conceptual distinction introduced in this review is between direct bonding effects and extended bonding effects. Direct bonding refers to the enhancement of perceived intimacy, trust, and affiliation between the individual and the immediate elicitor of the emotional experience. This may involve a person, a group, or a symbolic event. For instance, witnessing a soldier reunite with their family, or watching a charitable act, may evoke strong feelings of closeness toward the actor or the cause. Extended bonding, in contrast, refers to a generalized tendency to connect emotionally with entities beyond the initial trigger, including out-group members, humanity as a whole, or even abstract or non-human targets such as nature, national identity, or symbolic artifacts. This distinction offers a more refined framework to understand the varying levels of social impact that being moved can exert.

    To clarify the psychological mechanisms behind these effects, two major theoretical perspectives are examined and synthesized: Communal Sharing Reinforcement Theory and the Meaning Salience Model. The former, grounded in relational models theory and evolutionary psychology, conceptualizes being moved as a response to the intensification of communal sharing relations. According to this view, emotional elevation is triggered when individuals witness or experience relational behaviors involving care, sacrifice, or unity that signal deep communal affiliation. The experience of being moved then strengthens affiliative tendencies through automatic emotional pathways rooted in evolved attachment systems. Thus, being moved may serve as an affective shortcut to enhancing trust, empathy, and social closeness.

    In contrast, the Meaning Salience Model focuses on the cognitive and motivational dimensions of the emotion. It posits that being moved arises from the salience of core moral or social values perceived in a given context—such as solidarity, justice, or altruism. The emotion is a signal of recognition of those values, which in turn motivates individuals to engage in behavior aligned with them. Under this model, being moved not only strengthens current social ties but also encourages individuals to expand their social identity and affiliations in ways that reflect internalized value systems. Importantly, this process is not automatic but involves deliberate meaning-making and moral appraisal.

    These two mechanisms—automatic communal attachment and value-based meaning construction—are proposed as complementary rather than competing. In many emotionally rich contexts, both mechanisms may operate simultaneously. For instance, a public memorial ceremony might trigger immediate emotional identification with mourners (via communal reinforcement), while also prompting reflection on the importance of collective memory, sacrifice, or national identity (via meaning salience). This integrated view accommodates both the immediacy of affective responses and the broader, long-term sociocultural effects that being moved may elicit.

    Empirical evidence supporting this dual-pathway framework is drawn from a variety of domains, including interpersonal communication, political messaging, social marketing, psychotherapy, and intergroup dialogue. For example, studies have shown that narratives or videos evoking feelings of being moved can reduce intergroup prejudice, increase donations to prosocial causes, and foster reconciliation between formerly hostile communities. These effects are observed not only in interactions with known others but also in parasocial, symbolic, or imagined relationships—suggesting that the emotion of being moved is a versatile and scalable social bonding mechanism.

    This review contributes to the literature in several key ways. First, it offers a novel conceptual distinction that parses the social impact of being moved into direct and extended dimensions. Second, it synthesizes two influential but previously separate theoretical models into an integrative explanatory framework. Third, it identifies boundary conditions and individual differences—such as empathic sensitivity, cultural background, or trait-level proneness to being moved—that may moderate the effect of the emotion on social bonding. Finally, the review outlines directions for future research, including experimental manipulation of contextual features (e.g., intimacy vs. value emphasis) to disentangle the relative contributions of the two mechanisms.

    In conclusion, being moved is not merely a fleeting emotional experience; it plays a critical role in sustaining and expanding social relationships. By enhancing both immediate interpersonal connection and broader affiliative orientation, it may serve as an underappreciated emotional pathway to social cohesion, mutual understanding, and cooperation in an increasingly divided world.

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    Why is leaving not an option? Factors and mechanisms in the disengagement from intimate partner violence
    CHEN Yalin, GONG Zhe
    2025, 33 (11):  1993-2008.  doi: 10.3724/SP.J.1042.2025.1993
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    This study focuses on the complex process of disengagement from intimate partner violence (IPV), systematically reviewing and integrating the multi-level risk and protective factors influencing IPV departure. Critically reviewing the limitations of traditional theoretical models, this study innovatively proposes the Staged-Continuum Dynamic Interaction Model (SCDIM). This model integrates the transtheoretical model of change (TTM) of behavior change's fine-grained stages of departure with the psychosocial readiness model (PRM), which emphasizes the dynamic interaction of internal and external factors over time, addressing the theoretical shortcomings of traditional models that overlook cross-phase interaction mechanisms and nonlinear transitions.

    Regarding risk and protective factors, the study identifies and categorizes the influences on IPV disengagement through the lens of the Socio-Ecological Model (SEM) and the Sanction and Sanctuary framework. It structures these factors from two levels: individual factors (victims) and environmental factors (including interpersonal relationships, organizational policies, and broader societal and cultural systems). This study emphasizes that these factors do not act in isolation but interact dynamically across different stages, collectively influencing individuals' intentions and behaviors related to leaving an abusive relationship.

    On this basis, SCDIM combines TTM's phase-based division of the IPV departure process with PRM’s mechanism of dynamic balancing of influencing factors. The model divides IPV disengagement into five stages: precontemplation, contemplation, preparation, action, and maintenance. It clearly defines the core issues that need to be addressed to facilitate phase transitions, such as problem awareness, cost-benefit analysis, confidence building, improving circumstances, and adapting to changes. Additionally, the model introduces the concept of "transition zones" to depict the blurred boundaries and transitional states between stages, further identifying nine distinct pathways for stage transitions (including linear and nonlinear leapfrogging paths). More importantly, SCDIM systematically constructs the dynamic interaction mechanisms of risk and protective factors within each stage, emphasizing how the intensity of these factors influences the direction of behavior transitions and unveiling the triggering effects of events, such as sudden violence, on changes in the disengagement path.

    Theoretically, SCDIM not only inherits the strengths of TTM in identifying the characteristics and behavioral markers of each stage but also absorbs PRM’s explanatory power regarding the dynamic balancing mechanisms, achieving a unified model that incorporates both the phase-based and continuous characteristics of IPV disengagement. The model particularly highlights the emergent changes of victims as adaptive agents interacting with their environment, showing the situational sensitivity to diverse path forms, such as coexisting stages or retrogressive cycles.

    On the application level, this study suggests that future interventions could be developed based on SCDIM, advocating for the use of experience sampling and neuro-behavioral measurement methods to verify the dynamic validity of the model. It also encourages exploring the applicability of the model in various cultural contexts. The study indicates that SCDIM provides a theoretical foundation for designing stage-specific psychological interventions, optimizing policy support strategies, and developing intelligent assistance tools. Considering the model's interdisciplinary and cross-sectoral application potential, future research could extend it to different populations and other behavior change processes, thus enhancing its cultural adaptability, universality, and expanding its range of applications.

    In summary, SCDIM, as an integrated theoretical framework that combines phase-based divisions and dynamic interaction mechanisms, breaks through the limitations of static attributions and unidimensional explanations found in existing research. It provides a systematic analytical path and a comprehensive perspective for understanding IPV disengagement, offering significant theoretical innovation and practical intervention value.

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    The positive effects of multidimensional psychological time perspectives on intergroup helping behaviors: Feasibility, variability, and contextual adaptability
    CHEN Lanshuang, WANG Zhen, GUAN Jian
    2025, 33 (11):  2009-2026.  doi: 10.3724/SP.J.1042.2025.2009
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    In the current global context of escalating intergroup conflicts, psychological time frame offers a novel approach to promoting intergroup helping behavior, thereby contributing to the mitigation of social conflicts and the more equitable redistribution of resources. Compared to traditional approaches that focus on a single time point, this study may offer a more effective means of promoting intergroup helping behavior by incorporating multiple time points. Specifically, we construct a multidimensional model of psychological time perspective that integrates both cognitive and emotional components.

    This multidimensional model of psychological time perspective integrates four key dimensions: Time orientation, mental time travel, temporal comparison processes, and time attitude. It enables a systematic examination of the distinct emphases within each dimension. Furthermore, the model facilitates the organization of combinations across past, present, and future time points, thereby broadening the potential application modes of psychological time frames. Critically, integrating these multiple time perspectives offers insights into the underlying mechanisms by which each psychological time frame influences intergroup helping behavior. Such elucidation is essential, as it enables researchers to flexibly select appropriate psychological time frames, conduct in-depth comparisons of their relative strengths and limitations, and expand the theoretical and practical pathways for facilitating intergroup helping behavior. Importantly, this model explores psychological time frames not only at the individual level but also highlights the unique role of the collective time perspective. Findings derived from individual-level psychological time frames cannot be directly extrapolated to the collective time perspective, underscoring the need for dedicated investigation into the collective time perspective. As collective time perspective constitutes an indispensable form of time representation in social life, examining the individual time perspective alone provides an incomplete picture. By integrating the collective psychological time frame, the model offers a more comprehensive understanding of how multidimensional time perspectives affect intergroup helping behavior.

    Firstly, this study builds on the aforementioned four multidimensional time perspectives and explicates their roles in facilitating intergroup helping behavior through dual systems: The individual level and the collective level. Time orientation emphasizes individuals’ attentional preference toward specific time points. Mental time travel involves the directional spatiotemporal projection between two time points, grounded in self-awareness and affective memory. Temporal comparison processes entail dynamic comparisons of contextual factors and outcomes across distinct time points, focusing on comparative mechanisms. Time attitude focuses on individuals’ positive or negative affect toward particular temporal nodes. Existing research has demonstrated that these multidimensional time perspectives can, under certain conditions, positively influence intergroup helping behavior.

    Moreover, although the influence of multidimensional time perspectives on intergroup helping behavior reveals certain connections—such as cross-perspective consistency of time frames, dual-level analysis (individual and collective), and positive effect—significant differences remain. These differences are primarily reflected in the distinct underlying mechanisms through which each time perspective exerts its influence. Based on continuity motive theory, the meaning maintenance model, temporal comparison theory, and the broaden-and-build theory, this study sequentially delineates the unique contributions of multidimensional temporal perspectives to facilitating intergroup helping behavior. Specifically, it highlights the mediating roles of key internal mechanisms: Self-continuity, meaning in life, self-esteem, and gratitude.

    Although all four temporal perspectives have been shown to promote intergroup helping behavior, their positive effects are not uniformly achievable across all conditions. Rather, maximizing the impact of multidimensional time perspectives requires the flexible application of contextually appropriate strategies, tailored to specific situational factors and individual characteristics. Accordingly, guided by ecological systems theory, this study investigates the contextual adaptability of key moderating factors, such as age, psychological distance from events, urban tightness-looseness culture, and objective socioeconomic status.

    Finally, this study highlights several directions for future research. First, greater attention should be paid to the role of positive or negative emotions within each psychological time frame. Second, future studies should explore the influence of offspring-related considerations on intergroup helping behavior, including their impact and boundary conditions. Third, comparative investigations are needed to examine how individual and collective psychological time perspectives affect intergroup helping behavior across different cultural contexts. Four, researchers should assess the effects and underlying mechanisms of psychological time perspectives in relation to various forms of intergroup helping behavior. Lastly, there is a need to develop a multidimensional, contextually adaptive model aimed at effectively promoting intergroup helping behavior.

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