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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
    Self-other integration in joint action: A hierarchical task representation perspective
    WANG Jun, LI Qiankai, ZHAO Haiyang, ZHAO Mengfei, PAN Tingting, ZHENG Zheng
    2026, 34 (10):  1709-1721.  doi: 10.3724/SP.J.1042.2026.1709
    Abstract ( 742 )   HTML ( 7 )  
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    Joint action constitutes a core component of social life. Its tasks often exhibit a hierarchical structure ranging from concrete to abstract, requiring co-actors to achieve effective self-other integration at each level. However, existing research has largely been confined to isolated investigations of single levels, treating interpersonal coordination as a static mapping and thus failing to capture the dynamic interactions and information accumulation mechanisms that operate across hierarchical levels. Adopting the perspective of “hierarchical task representation, ” this study explores: (1) the dissociation and interaction of self-other integration at higher and lower levels, at both behavioral and neural levels; (2) whether level specificity arises from differences in the patterns of prior information accumulation, and how cross-level interactions are realized through the dynamic coupling of prior and posterior distributions; and (3) how different interpersonal common ground contexts modulate this process. Methodologically, this study constructs a hierarchically nested task paradigm, integrating behavioral experiments, EEG hyperscanning, and cognitive computational modeling to investigate level specificity and interaction patterns along three dimensions: phenomenon, mechanism, and modulation. Furthermore, this study proposes a Bayesian computation-based theoretical model of self-other integration, enabling a paradigm shift from “static single-level representation” to “dynamic hierarchical prediction.” This research deepens the understanding of the dynamic mechanisms underlying interpersonal integration across higher and lower levels, and provides a computable and verifiable psychological foundation for the development of collaborative multi-agent systems.

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    A two-stage model of the effects of prosocial effort on reward processing
    ZHENG Ya, YANG Ziyang
    2026, 34 (10):  1722-1732.  doi: 10.3724/SP.J.1042.2026.1722
    Abstract ( 769 )   HTML ( 4 )  
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    Prosocial behavior often requires people to incur personal costs to benefit others. Although many studies have focused on the benefits received by others, the effects of self-incurred costs on prosocial behavior remain underexplored. The few studies that have examined self-costs have mainly focused on the trade-off between effort costs and monetary rewards, overlooking the broader neural dynamics through which effort shapes the valuation of benefits to others. Recently, we demonstrated an effort paradox mechanism, whereby effort exerted for oneself both prospectively discounts and retrospectively enhances reward value. We hypothesize that this two-stage relationship between effort and reward may constitute a novel mechanism underlying prosocial behavior. To test this hypothesis, we will combine behavioral experiments with EEG and fMRI to examine the neural dynamics that arise when individuals exert cognitive effort to earn rewards for themselves versus for others. We will further determine whether these neural dynamics are domain-general or domain-specific across different forms of effort and benefit. These findings will clarify the cognitive and neural mechanisms by which prosocial effort shapes reward processing, thereby addressing a key gap in current theories and offering a new perspective on how self-incurred costs and others' benefits are balanced, and on how prosocial behavior can be promoted.

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    Driving mechanisms and impacts of stretch goals: An AI-enabled perspective
    CHENG Jialin, LI Jinsong
    2026, 34 (10):  1733-1748.  doi: 10.3724/SP.J.1042.2026.1733
    Abstract ( 664 )   HTML ( 4 )  
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    As artificial intelligence (AI) is increasingly adopted and deployed in enterprises, many teams are moving away from traditional goal-setting methods. In AI-enabled contexts, they are instead using stretch goals to stimulate employee and team creativity. However, the emergence of such goals in AI-enabled settings and their effects on creativity remain underexplored and lack empirical testing. Accordingly, this study aims to: (1) uncover how stretch goals emerge in AI-enabled settings; (2) draw on socio-technical systems theory to examine the mediating role of individual exploratory learning between stretch goals and individual creativity, as well as the moderating role of perceived AI usefulness; (3) draw on the same theory to test the mediating role of human-AI collaboration between stretch goals and team creativity, along with the moderating role of human-AI role clarity; and (4) verify the application of the formation mechanism and impact effects of stretch goals. The core conclusions derived from the “environmental stimuli → goal setting → employee behavioral outcomes” framework are then applied to practical scenarios, offering a reference for enterprises seeking to enhance individual and team creativity. The findings aim to fill the research gap concerning stretch goals in AI-enabled contexts and guide managers in leveraging AI to overcome constraints typically associated with stretch goals.

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    When customers are empowered by algorithms: Dynamic mechanisms and interventions in gig workers’ coping with customer mistreatment
    CAO Wenrui, LIU Beini, ZHANG Shanshan, TIAN Zonglin
    2026, 34 (10):  1749-1767.  doi: 10.3724/SP.J.1042.2026.1749
    Abstract ( 556 )   HTML ( 4 )  
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    With the widespread adoption of algorithmic management in the gig economy, gig workers’ labor processes have become increasingly embedded in digital work contexts jointly shaped by platform rules and customer evaluations. In this context, the impact of customer mistreatment has become increasingly prominent. Existing research has primarily focused on the effects of algorithmic control on gig workers’ work stress and behavioral outcomes, while paying insufficient attention to the mechanisms through which algorithms reshape gig work contexts by granting customers greater evaluative and disciplinary power. Drawing on cognitive appraisal theory, this study develops an integrative analytical framework to examine how gig workers cope with customer mistreatment in algorithmic contexts. First, the study analyzes how algorithmic management reshapes the manifestations of customer mistreatment and develops a measurement instrument tailored to the gig work context. Second, from the perspective of long-term stress accumulation, it examines the effects of customer mistreatment on gig workers’ burnout, employability, and turnover intention, reveals the mediating roles of deep acting and surface acting, and investigates the moderating effects of personal, platform, and social resources. Finally, the study proposes an AI-mediated responsive forgiveness intervention and explores pathways through which such an intervention may facilitate cognitive adjustment and emotional recovery among gig workers. This research deepens the application of customer mistreatment and stress-coping theories in emerging forms of work. It also provides important theoretical insights and empirical implications for human-centered platform governance and the technological empowerment of workers.

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    The echo effect of gratitude expression in tourism service interactions
    CAO Limei, LI Fangshi, LI Yaoqi
    2026, 34 (10):  1768-1778.  doi: 10.3724/SP.J.1042.2026.1768
    Abstract ( 477 )   HTML ( 2 )  
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    Gratitude expression is ubiquitous in interpersonal interactions. Prior research has primarily examined its positive effects from the perspective of a single interactions or a single actor, with limited attention to its dynamic evolution in ongoing interactions. Notably, in tourism service interactions, gratitude expression—characterized by open expressive norms, reciprocal and continuous interaction, and network connectivity—is particularly likely to be continually acknowledged, reciprocated, and amplified across multiple rounds of interaction. In response, this manuscript proposes the echo effect of gratitude expression to describe the dynamic phenomenon whereby the influence of gratitude expressions is continuously extended through repeated feedback during the interaction process. Building on this conceptualization, the manuscript develops two modules comprising three studies. The first module constructs a theoretical framework for the echo effect of gratitude expression. The second adopts a bidirectional interaction perspective to analyze and test the underlying mechanisms through which gratitude expressions exert their effects. This manuscript extends gratitude research from a static perspective to a dynamic, process-oriented one, and offers a novel integrative theoretical lens for understanding the sustained role of emotional expressions in service contexts.

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    Meta-Analysis
    A Bayesian meta-analysis of the association between AI literacy and self-efficacy
    WAN Qianyi, WEN Siqing, MA Zaoming, HU Bo
    2026, 34 (10):  1779-1794.  doi: 10.3724/SP.J.1042.2026.1779
    Abstract ( 921 )   HTML ( 4 )  
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    To systematically synthesize evidence on the relationship between artificial intelligence (AI) literacy and self-efficacy among university students and identify sources of heterogeneity, this study included 36 independent studies (N = 25, 251) and conducted a meta-analysis using a Bayesian random-effects model, followed by moderator analyses. The results showed a robust positive association between AI literacy and university students’ self-efficacy (Bayesian r = 0.495, 95% CrI [0.420, 0.570]). Moderator analyses indicated that effect sizes varied significantly by self-efficacy type, AI literacy measurement approach, and academic discipline. Specifically, the association between AI literacy and both creative self-efficacy and entrepreneurial self-efficacy was stronger than its association with AI self-efficacy and general academic self-efficacy. Effect sizes were larger in studies using self-developed or integrated self-report measures than in those using direct AI literacy scales, proxy indicators, or objective assessments. In addition, the association was relatively stronger for students in education, media, and language disciplines than those in engineering, computer science, and business and management majors. These findings suggest that AI literacy is positively associated with university students’ self-efficacy, but the strength of this relationship depends on measurement approach, self-efficacy type, and disciplinary context. The findings further imply that AI literacy may function not only as a technical competence but also as a psychological resource linked to higher-order efficacy beliefs, which provide implications for differentiated AI literacy education in higher education.

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    Research Method
    Applications of transcranial focused ultrasound stimulation in psychological research
    XIA Xue, CHENG Si, ZHANG Dandan
    2026, 34 (10):  1795-1812.  doi: 10.3724/SP.J.1042.2026.1795
    Abstract ( 531 )   HTML ( 0 )  
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    Transcranial focused ultrasound stimulation (TUS), as an emerging non-invasive neuromodulation technique, is providing a novel methodological approach for investigating brain-behavior causality in psychological science because of its high spatial focality and its ability to reach deep brain regions. From the perspective of psychological research, this article systematically reviews the progress of TUS studies across different psychological processes, organized around two major stimulation modes: online and offline stimulation. Existing evidence suggests that online stimulation places greater emphasis on synchronizing stimulation with critical time windows of psychological processing and is therefore well suited to testing the immediate causal role of specific brain regions in perception, decision-making, and response inhibition. In contrast, offline stimulation focuses more on sustained aftereffects following stimulation and is therefore more suitable for examining changes in brain network states, excitation-inhibition balance, and behavioral tendencies. Future research should place particular emphasis on parameter−effect associations, control of confounding factors, safety evaluation standards, multimodal integration, and individualized adaptation.

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    Regular Articles
    Detecting without discerning: Characteristics and mechanisms of interoception in individuals with autism spectrum disorder
    ZHU Xingchen, HU Jinsheng
    2026, 34 (10):  1813-1831.  doi: 10.3724/SP.J.1042.2026.1813
    Abstract ( 614 )   HTML ( 0 )  
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    Interoception refers to the ability to perceive and integrate signals from within the body, which plays an important role in emotion regulation, self-awareness, and social cognition development. Individuals with autism spectrum disorder (ASD) exhibit widespread sensory processing abnormalities, but there is a lack of systematic understanding of the characteristics of their interoception, and why and under what conditions interoceptive abnormalities manifest. This review first examines the characteristics of interoception in individuals with ASD based on three dimensions: interoceptive accuracy, interoceptive sensibility, and interoceptive awareness. We then reveal the underlying mechanisms of interoceptive abnormalities from the perspectives of predictive coding theory, weak central coherence theory, and the alexithymia hypothesis, and suggest the potential effects of factors such as age, type of interoceptive signals, and comorbidity status. Future research is needed to further integrate the differences and associations of interoception across different dimensions in individuals with ASD, to explore the potential influencing factors of the phenomenon, and to expand existing research methodologies, so as to advance the understanding of emotion and social functioning difficulties in individuals with ASD.

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    Neurotransmitter regulatory mechanisms of abnormal sensory attenuation in schizophrenia
    CHEN Yiyue, ZENG Yaxin, HUANG Chaozheng, XIE Pei
    2026, 34 (10):  1832-1842.  doi: 10.3724/SP.J.1042.2026.1832
    Abstract ( 387 )   HTML ( 0 )  
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    Schizophrenia, a highly disabling psychiatric disorder, presents with deficits in sensory processing as one of its clinical manifestations. A core pathological feature underlying these deficits is abnormal sensory attenuation, characterized by a failure to effectively filter internal signals generated by one’s own actions. This leads the brain to misattribute these internal signals to external sources, ultimately contributing to perceptual disturbances such as hallucinations, and severely impairing both cognitive and social functioning in affected individuals. The neurotransmitter system serves as a critical physiological pathway regulating the clinical symptoms of schizophrenia, and it plays an essential role in modulating the mechanisms of sensory attenuation. Accumulating evidence indicates that functional abnormalities in core neurotransmitter systems—including glutamate, dopamine, and gamma-aminobutyric acid (GABA)—not only constitute an important biological basis for the pathogenesis of schizophrenia but also represent key contributing factors to the disruption of sensory attenuation. The present study aims to systematically examine the influence of neurotransmitter systems on sensory attenuation by integrating perspectives from biology, genetics, and cognitive neuroscience, thereby providing a theoretical foundation for developing intervention strategies and therapeutic approaches specifically targeting sensory attenuation deficits in schizophrenia.

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    Fidelity measurement in psychotherapy: Current status and improvements
    YANG Haoran, SUN Huanxiang, LIU Xiaoming
    2026, 34 (10):  1843-1861.  doi: 10.3724/SP.J.1042.2026.1843
    Abstract ( 616 )   HTML ( 1 )  
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    Fidelity in psychotherapy refers to the extent to which treatment is delivered as intended, serving as a key indicator of clinical quality and the reliability of therapeutic outcomes. Given the limited domestic research on fidelity in the evaluation of psychotherapy processes, this article reviews its conceptual structure and the rationale for its assessment, compares common assessment methods, and discusses current strategies for improvement. Existing studies indicate that observational coding, written surveys, and behavioral rehearsals each have distinct features and limitations. Across current approaches, major challenges include substantial demands on time and labor, limited applicability, and low scoring consistency. Recent efforts to develop assessment frameworks, specify intervention procedures, and introduce computer-assisted assessment have improved standardization and efficiency to some extent. However, the persistent issues of high costs and inconsistent assessment remain unresolved. Future research may further refine the assessment framework, establish a more systematic knowledge base, and continue exploring and validating automated tools such as large language models in psychotherapy settings, thereby advancing the quality assessment of psychotherapy processes from theoretical advocacy to standardized practice.

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    Computational cognitive mechanism of stereotype: Social learning and generalization
    WANG Ying-Jie, ZHANG Ru-Yuan
    2026, 34 (10):  1862-1875.  doi: 10.3724/SP.J.1042.2026.1862
    Abstract ( 671 )   HTML ( 1 )  
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    Stereotypes are generalized beliefs about social groups that shape interpersonal interactions and intergroup relations. Traditional theories, however, tend to remain at the descriptive level, lacking an integrative computational explanation of how stereotypes are acquired and applied. Drawing on reinforcement learning and Bayesian theory, this review synthesizes the computational cognitive mechanisms of stereotyping along two core processes: social learning and social generalization. For social learning, we describe how Bayesian structure learning enables the inference of latent group categories, distinguish between experiential and linguistic pathways through which group-trait associations are established, and analyze how these associations are updated and consolidated through the interplay of prediction error, prior bias, and the explore-exploit dilemma. For social generalization, we examine how the brain categorizes novel individuals into known groups based on perceptual and functional cues, and how learned associative knowledge is retrieved. Future research could advance by broadening generalization cues, integrating multi-cue representations, and computationally simulating the process of linguistic transmission.

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    From self-serving to harm-seeking: Evolutionary pathways from negative to malevolent creativity and intervention
    ZHOU Shujin, ZHU Jingyi, TU Hongyue, Li Yan
    2026, 34 (10):  1876-1886.  doi: 10.3724/SP.J.1042.2026.1876
    Abstract ( 719 )   HTML ( 0 )  
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    Creativity is a neutral cognitive capacity that can generate constructive outcomes, but it may also lead to negative social consequences. The latter includes negative creativity and malevolent creativity. Both are grounded in the cognitive basis of novelty and appropriateness and both involve negative social value in their outcomes, yet they differ in motivational orientation: negative creativity is primarily self-serving, with harm occurring mainly as a byproduct, whereas malevolent creativity takes harming others, organizations, or society as its core objective. This review systematically clarifies the conceptual boundaries and measurement challenges of negative creativity and malevolent creativity. It further argues that the evolution from negative creativity to malevolent creativity is neither linear nor inevitable, but is dynamically driven by cognitive control failure, situational triggers, motivational reinforcement, moral disengagement, and insufficient social regulation, which may operate independently or in combination. Building on this analysis, this review proposes the Cognitive-Motivational-Development (CMD) intervention model. Through cognitive evaluation training, motivational value reconstruction, and developmental ecological support, the model aims to provide upstream guidance for children’s negative creativity. This framework offers both theoretical and practical implications for understanding the developmental mechanisms underlying the negative side of creativity and for promoting healthy creative development in childhood.

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    Etiquette on the tip of the tongue: The influence of social norms on women’s eating behavior
    WANG Qingyu, CHEN Yiyue, TANG Luyao, HUANG Chaozheng, XIE Pei
    2026, 34 (10):  1887-1898.  doi: 10.3724/SP.J.1042.2026.1887
    Abstract ( 941 )   HTML ( 7 )  
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    Social norms, encompassing shared expectations for behavior within groups, profoundly influence individual conduct, particularly in the domain of eating behavior. This review systematically examines how social norms—specifically descriptive norms (perceptions of what others do) and injunctive norms (perceptions of what ought to be done)—shape women’s dietary practices through distinct yet interconnected psychological pathways. Grounded in a synthesized theoretical framework that integrates social cognitive theory, social comparison theory, and social identity theory, we propose a tripartite model of influence operating through cognitive, emotional, and behavioral routes. Cognitively, norms transmitted via family, media, and peers are internalized to form women’s dietary beliefs, self-concept, and gender-linked food schemas. Emotionally, normative pressures—especially those emphasizing thinness and dietary restraint—trigger upward social comparisons, resulting in body dissatisfaction, anxiety, and guilt, which in turn motivate maladaptive eating patterns such as restrictive or emotional eating. Behaviorally, norms direct action through observational learning, conformity under social pressure, and identity-driven adoption of group-typical eating behaviors. Critically, the impact of norms depends on whether an individual’s attentional focus aligns with descriptive or injunctive cues, a distinction elaborated through the focus theory of normative conduct. Furthermore, we bridge social-psychological mechanisms with neurophysiological evidence, illustrating how chronic normative stress may dysregulate the HPA axis and impair prefrontal executive function, thereby exacerbating disordered eating. Based on this multilevel analysis, we propose targeted intervention strategies: correcting misperceived descriptive norms to avoid boomerang effects, designing injunctive norm-based policies that support autonomy and internalization, and cultivating social support systems to buffer negative affect and enhance self-regulation. Finally, we highlight the need for culturally contextualized research—particularly in collectivist settings like China—and longitudinal designs to clarify the dynamic interactions among norms, emotions, and behavior. This review not only advances theoretical integration in the field but also offers evidence-based guidance for promoting healthier, more autonomous eating practices among women under normative influence.

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