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    Cognitive outsourcing based on generative artificial intelligence: An Analysis of interactive behavioral patterns and cognitive structural features
    WANG Fancong, TANG Xiaoyu, YU Shengquan
    Acta Psychologica Sinica    2025, 57 (6): 967-986.   DOI: 10.3724/SP.J.1041.2025.0967
    Abstract1199)   HTML39)    PDF (3482KB)(832)      

    Humans can enhance task efficiency and quality by delegating part of their cognitive tasks to generative artificial intelligence (AI), a process referred to as cognitive outsourcing. However, individuals’ effectiveness in using AI varies. To identify the key characteristics and inherent requirements of effective cognitive outsourcing, this study designed a cognitive outsourcing activity for graduate students. Participants wrote articles on open-ended topics with the assistance of a generative AI system and were divided into high-performance and low-performance groups based on their article scores. Differential analysis of knowledge pre-tests revealed that the high-performance group exhibited significantly higher prior domain knowledge compared to the low-performance group. Through lag sequential analysis and epistemic network analysis of interaction process data, differences in interactive behavioral patterns and cognitive structural features between the two groups were identified: participants in the high-performance group demonstrated more diversified behavioral transitions, forming a pattern characterized by “rapid and autonomous task comprehension and planning, efficient and precise human-computer interaction, selective information extraction and deep processing”; the cognitive structure of the high-performance group was balanced and comprehensive, primarily engaging with higher-level cognitive processing, while the low-performance group's cognitive structure was unbalanced and fragmented, primarily engaging with lower-level cognitive processing. In conclusion, effective cognitive outsourcing is a multifaceted process that necessitates active participation and profound cognitive processing. It demands proficient integration between internal cognitive frameworks and external technological tools.

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    The micro-dynamic neural processing model of insight problem-solving
    CHEN Yan, LI Ying, LIU Guanxiong, YU Quanlei, LIANG Zheng, CHEN Shi, ZHAO Qingbai
    Acta Psychologica Sinica    2026, 58 (4): 634-650.   DOI: 10.3724/SP.J.1041.2026.0634
    Abstract785)   HTML14)    PDF (718KB)(88)      
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    The Framing Effect of Cross-Period Temporal Choice in the Loss Domain Will Influence the Preference for Debt-Swapping Decisions
    MA Jia-Tao, LI Shu, HE Guibing
    Acta Psychologica Sinica    2026, 58 (4): 651-666.   DOI: 10.3724/SP.J.1041.2026.0651
    Abstract665)   HTML6)    PDF (1625KB)(73)      

    Framing effects, which violate the axioms of rational decision-making, represent a robust psychological phenomenon. This study investigates whether framing effects exist in cross-period temporal choice in the loss domain and explores their implications for debt swap policies. The findings reveal two key insights: (1) For a single debt program with a fixed total amount and maturity date, presentation frames significantly influenced debtors’ acceptance level of the debt repayment program. Specifically, low-frequency frames (e.g., annual payments) yielded a significantly higher acceptance level of the debt repayment program compared to high-frequency frames (e.g., weekly payments); (2) For binary-choice debt programs with constant total amounts but varying maturity dates, framing effects again proved significant. Compared to high-frequency frames/conventional timelines, low-frequency frames/compressed timelines made debtors more inclined to accept the initial debt program with higher interest rates and shorter terms. The observed preferences were consistent with predictions of the Graph-Edited Equate-to-Differentiate Model. This study contributes to a deeper understanding of cross-period temporal choice in the loss domain, enriches the “temporal nudge toolbox” with novel interventions, and provides crucial psychological evidence to inform the evaluation of debt swap policies and the optimization of debt management strategies.

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    When AI “possesses” personality: Roles of good and evil personalities influence moral judgment in large language models
    JIAO Liying, LI Chang-Jin, CHEN Zhen, XU Hengbin, XU Yan
    Acta Psychologica Sinica    2025, 57 (6): 929-946.   DOI: 10.3724/SP.J.1041.2025.0929
    Abstract563)   HTML53)    PDF (836KB)(303)      

    At the intersection of technology and morality, a critical question arises: Can large language models (LLMs) simulate good and evil personalities, and does this capacity influence their performance in moral judgment tasks? This study investigated the moral judgment characteristics of LLMs when simulating different good and evil personalities, as well as the similarities and differences between these patterns and those of humans. Across two studies, we analyzed moral judgment data generated by two LLMs—ERNIE 4.0 and GPT-4 (N = 4,832)—alongside responses from human participants (N = 370). The results revealed that: (1) LLMs are capable of successfully simulating varying levels of good and evil personalities; (2) the personality configuration significantly affects the moral judgments made by LLMs; and (3) a personality hierarchy emerges in the alignment between human and LLMs’ responses: good personality plays a more critical role than evil personality (inter-personality hierarchy), and within the good personality, conscientiousness and integrity dimension exerts the strongest influence (intra-personality hierarchy). This research constructed a theoretical model of good and evil personalities in LLMs under moral judgment tasks, contributing to a deeper understanding of how simulated personalities function in AI moral reasoning. The findings provided a theoretical foundation for promoting moral alignment in artificial intelligence systems.

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    Suicidal ideation data augmentation and recognition technology based on large language models
    ZHANG Yanbo, HUANG Feng, MO Liuling, LIU Xiaoqian, ZHU Tingshao
    Acta Psychologica Sinica    2025, 57 (6): 987-1000.   DOI: 10.3724/SP.J.1041.2025.0987
    Abstract495)   HTML10)    PDF (384KB)(134)      

    Suicide has become a global public health challenge. Traditional methods for identifying suicidal ideation primarily rely on patients actively seeking help, while automated identification models based on text analysis are limited by the scarcity of annotated data. This study innovatively proposes a data augmentation method based on large language models (LLMs) to improve the accuracy of suicidal ideation text recognition. The research employs a two-stage design: Study 1 focuses on data augmentation, and Study 2 validates the enhancement effect. In Study 1, ChatGLM3-6B and Qwen-7B-Chat were selected as the underlying models, combining supervised learning strategies with zero-shot and few-shot learning methods to optimize training dataset quality. Through eight rigorous comparative experiments, the results show that the two self-developed models demonstrated excellent performance in data augmentation, with comprehensive scores of 0.90 and 0.92 for their processed datasets, significantly outperforming baseline models (p < 0.001). Study 2 further evaluated the impact of data augmentation on recognition model performance, showing that the enhanced models comprehensively outperformed the best baseline models in terms of recognition accuracy and true negative rate (p < 0.001). This study not only validates the effectiveness of LLM-based data augmentation methods in improving the performance of suicidal ideation recognition models but also opens new directions for artificial intelligence applications in the field of mental health. This approach has the potential to provide timely and effective early warning of suicide risk while protecting user privacy, offering important technical support and research ideas for suicide prevention work. Future research could focus on expanding data heterogeneity, optimizing prompt engineering design, and introducing human-computer interaction paradigms to further extend the application of this method in promoting clinical psychological diagnosis.

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    The impact of marriage on life satisfaction trajectories during emerging adulthood: A ten-year longitudinal study based on China Family Panel Studies
    PENG Wang, YAN Ping, ZHOU Yaping, Xiang Yanhui
    Acta Psychologica Sinica    2025, 57 (12): 2149-2164.   DOI: 10.3724/SP.J.1041.2025.2149
    Abstract480)   HTML25)    PDF (2672KB)(254)      

    Marriage is widely debated regarding its impact on individuals' developmental trajectories of life satisfaction, a question of profound significance for both social well-being and personal quality of life. In collectivist societies such as China, marriage may involve distinct mechanisms related to familial responsibilities and social support. However, longitudinal empirical research examining marriage events and their trajectories of life satisfaction in the Chinese context remains scarce. Drawing on hedonic adaptation theory and the buffering model of social support, this study systematically investigated how marriage impacts life satisfaction trajectories across different age stages in emerging adulthood and examined the dual mediation mechanisms of positive affect and negative symptoms, utilizing a decade of large-scale longitudinal data from the China Family Panel Studies (CFPS, 2010-2020).

    Data from CFPS included a longitudinal sample of 1, 603 married participants and 5 778 matched unmarried controls aged 18~29 years. Propensity score matching (PSM) was conducted to form comparable married and unmarried groups based on demographic characteristics (gender, age, education, income, health status, and employment) and temporal factors (survey participation years and measurement frequency). Based on the matched sample, we fitted several distinct multilevel linear models, each using a different time indicator, to evaluate life satisfaction trajectories surrounding marriage events. Furthermore, we examined the mediating effects of positive affect and negative symptoms in two post-marriage time windows (0?2 years and more than 2 years after marriage).

    Results showed that marriage, on average, significantly and durably improved life satisfaction, with marked age heterogeneity: the effect was non-significant among individuals aged 18~21; those aged 22~25 exhibited a “rise-then-decline” pattern after marriage; and those aged 26~29 showed an anticipatory increase before marriage that remained stable thereafter. Mediation analyses further indicated a dual mechanism. Overall, sustained gains were jointly accounted for by increased positive affect and the buffering of negative symptoms; however, the mediating paths also varied by age: for ages 18~21, neither path was significant; for ages 22~25, mediation operated through elevated positive affect during the first 0~2 years post-marriage and shifted to buffering of negative symptoms beyond 2 years; and for ages 26~29, the effect was predominantly mediated by buffering of negative symptoms. Sex differences indicated similar overall gains for women and men, with men displaying a more pronounced anticipatory effect prior to marriage.

    The study systematically revealed how marriage influenced life satisfaction trajectories among emerging adults in China and suggested the potential dual-stage, dual-pathway mediation mechanisms behind this relationship, highlighting notable age-related heterogeneity. Theoretically, these findings challenged the traditional hedonic adaptation perspective of short-lived marital effects, expanding a dynamic understanding of marital happiness mechanisms within collectivist cultures. Practically, this research provides age- and mechanism-specific insights for marriage education and family policy interventions to enhance the well-being of young adults.

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    Human advantages and psychological transformations in the era of artificial intelligence
    WU Michael Shengtao, PENG Kaiping
    Acta Psychologica Sinica    2025, 57 (11): 1879-1884.   DOI: 10.3724/SP.J.1041.2025.1879
    Abstract470)           
    In the era of artificial intelligence (AI), the boundaries between humans and machines have become blurred, and re-understanding and developing humanity's unique advantages are increasingly prominent and urgent. Meanwhile, with the rapid development of technology and scientific paradigm, a broad psychology encompassing the minds and behaviors of humans, animals, and machines is emerging. Recent researchers have conducted a series of studies on the psychology and governance of AI, from the perspectives of impacts of AI, new human-machine relationships, AI methods, and interdisciplinary empowerment. Future psychology researchers should focus on human society and future development, and reflect on the status of humanity and human dignity under the impact of AI, especially the unique advantages derived from human evolution as well as the expansions of human nature and identity; truly master and utilize AI technologies to empower the development of psychology, making mind research on the black box of human consciousness and complex social behavior more precise and efficient, and promoting AI-based mind computation and intervention across time and space scales and personalized interventions. More important, they must consider how psychology (with strengths in studying human nature, social relations, and ethical values) could empower the development of AI, by exploring AI cognition and its comparison with humans and animals, which is critical for promoting the AI application and governance in a human-machine symbiotic society.
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    Self-help AI psychological counseling system based on large language models and its effectiveness evaluation
    HUANG Feng, DING Huimin, LI Sijia, HAN Nuo, DI Yazheng, LIU Xiaoqian, ZHAO Nan, LI Linyan, ZHU Tingshao
    Acta Psychologica Sinica    2025, 57 (11): 2022-2042.   DOI: 10.3724/SP.J.1041.2025.2022
    Abstract459)   HTML25)    PDF (1396KB)(2364)      

    This study aimed to explore the technical feasibility of constructing a self-help AI psychological counseling system based on large language models without relying on real case data, and to evaluate its effectiveness in improving mental health outcomes in general populations. The research was conducted in two phases: First, we developed a self-help AI psychological counseling chatbot system using zero-shot learning and chain-of-thought prompting strategies; Subsequently, we evaluated the system's practical effectiveness through a two-week randomized controlled trial with 202 participants. Results from Experiment 1 demonstrated that the GPT-4o model, after prompt engineering optimization, showed significant improvements in Compliance, Professionalism, Emotional Understanding and Empathy, as well as Consistency and Coherence. Experiment 2 revealed that compared to the control group, participants using the self-help AI psychological counseling chatbot experienced significant short-term improvements in depression, anxiety, and loneliness. Notably, anthropomorphized AI counselors demonstrated significant advantages in alleviating loneliness, while non-anthropomorphized designs were more effective in reducing stress. Additionally, improvements in anxiety symptoms persisted at one-week follow-up, while improvements in other indicators did not sustain. This study preliminarily explores the positive impact of LLM-based self-help AI psychological counseling on mental health, revealing differential effects of various AI designs on specific psychological issues, and provides valuable insights for future research and practice.

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    When design meets AI: The impact of AI design products on consumers’ response patterns
    LI Bin, RUI Jianxi, YU Weinan, LI Aimei, YE Maolin
    Acta Psychologica Sinica    2025, 57 (11): 1914-1932.   DOI: 10.3724/SP.J.1041.2025.1914
    Abstract442)   HTML27)    PDF (3308KB)(4535)      

    With the rapid development of Artificial Intelligence (AI) technology, utilizing AI to design products and innovate is a major trend in the future. Based on the stereotype content model, this article explored the effects, mechanisms, and boundary conditions of design source (human vs. AI) and product type (nostalgic vs. innovative) on consumer response patterns (appreciation vs. aversion) through six progressive Studies (N = 1418). The results showed that for nostalgic products, consumers preferred human design, showing AI aversion; for innovative products, consumers preferred AI design, showing AI appreciation, which produced a matching effect of “human design-nostalgic products” and “AI design-innovative products”. Further analysis revealed that processing fluency played a mediating role in this matching effect process; warmth perception and competence perception were key factors that led to processing fluency. In addition, the AI-human collaborative design mode, AI anthropomorphic features, and consumer self-construction types all played a moderating role. This article not only revealed the response patterns and deep mechanisms of consumers' appreciation or aversion towards different types of products designed by AI but also provided references for strategic planning and marketing strategies of AI+ design in the new era of artificial intelligence.

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    Stimulus similarity modulated sensory dominance effects in cross-modal conflicts
    WANG Aijun, HUANG Jie, ZHAO Danna, LI Xin, ZHANG Ming
    Acta Psychologica Sinica    2026, 58 (4): 571-589.   DOI: 10.3724/SP.J.1041.2026.0571
    Abstract415)   HTML45)    PDF (1188KB)(188)      

    The levels-of-processing framework posits that cross-modal conflicts demonstrate modality-specific dominance patterns, with visual dominance effect occurring at pre-response stages and auditory dominance effect emerging at response stages. However, little studies systematically examined how the representational modalities of stimuli during cognitive processing modulate these sensory dominance effects. The present study used a 2-1 mapping paradigm to investigate how stimulus similarity influences sensory dominance effects at both the pre-response and response levels. Experiment 1 revealed that visual dominance effect emerged during pre-response cross-modal conflicts, whereas auditory dominance effect manifested at the response level. Moreover, visual similarity significantly reduced visual dominance effect at the pre-response level and auditory dominance effect at the response level. In contrast, auditory similarity markedly enhanced visual dominance effect at the pre-response level. Experiment 2 used transcranial direct current stimulation to modulate neural activity in the left fusiform gyrus (Experiment 2a) and the left inferior parietal lobule (Experiment 2b), thereby causally testing how stimulus similarity influences sensory dominance effects in cross-modal conflict. Experiment 2a indicated that anodal stimulation reduced the visual dominance effect at the pre-response level, whereas Experiment 2b showed that anodal stimulation increased the visual dominance effect at the same processing stage. Overall, the present study demonstrates that stimulus similarity modulates sensory dominance effect in cross-modal conflicts, with visual and auditory similarity differentially modulating sensory dominance effects at the pre-response level. These findings provide novel insights into the mechanisms of cross-modal conflict across distinct cognitive processing stages and advance the understanding of sensory dominance effects in multisensory contexts.

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    Moral deficiency in AI decision-making: Underlying mechanisms and mitigation strategies
    HU Xiaoyong, LI Mufeng, LI Yue, LI Kai, YU Feng
    Acta Psychologica Sinica    2026, 58 (1): 74-95.   DOI: 10.3724/SP.J.1041.2026.0074
    Abstract377)   HTML32)    PDF (372KB)(186)      

    As artificial intelligence (AI) assumes an increasingly prominent role in high-stakes decision-making, the ethical challenges it raises have become a pressing concern. This study systematically investigates the moral deficit effect in AI decision making by integrating mind perception theory with moral dualism. Through this framework, we identify a dual-path psychological mechanism and propose targeted intervention strategies. The findings show that individuals display significantly weaker moral reactions to unethical decisions made by AI than to those made by humans. This moral deficit effect arises because AI is perceived as having lower agency and experientiality compared to human decision-makers. To address this gap, the study proposes an integrated intervention strategy: enhancing moral responses through anthropomorphizing AI while simultaneously adjusting human expectations. Unlike disciplines that primarily focus on designing fair algorithms at the technical level, this study takes a psychological perspective. By highlighting differences in people’s moral judgments of AI versus human decisions, it provides new insights into mitigating the social consequences of algorithmic bias and contributes to the broader development of “algorithmic ethics.”

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    The joint role of childhood emotional abuse and bullying victimization in the development of adolescent depressive symptoms: Sequential mediation or enhanced moderation?
    LI Xi, ZHANG Chang, YU Ruize, YIN Yijia, ZHOU Tong, LIU Wei, CHEN Ning
    Acta Psychologica Sinica    2025, 57 (6): 1056-1069.   DOI: 10.3724/SP.J.1041.2025.1056
    Abstract377)   HTML23)    PDF (638KB)(674)      

    To examine the longitudinal joint role of two types of interpersonal risk factors (childhood emotional abuse and adolescent bullying victimization) in the development of adolescents' depressive symptoms, 521 middle school students were followed up for 2 years and 3 rounds. The results of the analysis based on the latent growth curve model and its variants showed that: (1) both childhood emotional abuse and adolescent bullying victimization significantly and positively predicted adolescents' depressive symptoms in terms of initial intercept and growth slope; (2) the initial intercept and growth slope of bullying victimization mediated the prediction of adolescents' depressive symptoms by childhood emotional abuse; and (3) with respect to the initial intercept, bullying victimization weakened the prediction of adolescents' depressive symptoms by childhood emotional abuse; and (4) in terms of initial intercept, bullying victimization weakened the prediction of adolescents' depressive symptoms. Childhood emotional abuse weakened the positive predictive effect of bullying victimization on depressive symptoms, but there was no significant moderating effect on the growth slope. These results suggest that childhood emotional abuse and adolescent bullying victimization not only independently predicted the development of depressive symptoms in adolescents, but also played a joint role, which was mainly manifested in a longitudinal sequential mediation model (rather than an enhanced moderation model). Based on this conclusion, this paper integrates the interpersonal risk model of depression with the cumulative risk model to form the cumulative interpersonal risk model, and identifies the longitudinal pattern of interpersonal risk factors across developmental stages and relational systems as sequential mediators of depression in adolescents.

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    Object category differences regulate the sensory dominance of the response level in an audiovisual cross-modal conflict
    ZHOU Heng, WANG Ai-Jun, YUAN Xiang-Yong, JIANG Yi
    Acta Psychologica Sinica    2025, 57 (6): 1001-1012.   DOI: 10.3724/SP.J.1041.2025.1001
    Abstract373)   HTML13)    PDF (1311KB)(96)      

    The sensory dominance refers to the phenomenon where the brain prioritizes the processing of information from a specific sensory modality when faced with multisensory modalities. The cognitive processing level hypothesis posits that the sensory dominance effect is determined by different levels of cognitive processing, with early perceptual processing favoring visual dominance and late response processing favoring auditory dominance. However, existing research has not focused on how the intermediate processing levels between early and late stages of cognitive processing influence the sensory dominance effect. This study manipulated object category differences at the intermediate processing level, employing a 2-1 mapping paradigm to examine how object category representation between early perceptual and late response levels affects cross-modal sensory dominance effects through three experiments. Experiment 1 found that object category differences can modulate the sensory dominance effect at the response level, with visual dominance when category differences are small and auditory dominance when they are large. Experiment 2 indicated that this effect is not related to different processing depths of visual stimuli, confirming that the effect is specific to the visual channel. Experiment 3, using transcranial direct current stimulation (tDCS) to inhibit the brain area responsible for category processing, the left anterior temporal lobe, found that the auditory dominance at the response level disappeared. The study demonstrates that the object category representation at the intermediate processing level within cognitive processing levels regulates the sensory dominance effect, thereby refining the cognitive processing level hypothesis's explanation of cross-modal sensory dominance effects.

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    Category and semantic distance modulate the impact of prediction on memory
    DAI Jiaojian, SUN Mingze, WANG Dongfang, MAO Xinrui, GUO Chunyan
    Acta Psychologica Sinica    2026, 58 (1): 1-14.   DOI: 10.3724/SP.J.1041.2026.0001
    Abstract361)   HTML34)    PDF (942KB)(147)      
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    Human-AI cooperation makes individuals more risk seeking: The mediating role of perceived agentic responsibility
    GENG Xiaowei, LIU Chao, SU Li, HAN Bingxue, ZHANG Qiaoming, WU Mingzheng
    Acta Psychologica Sinica    2025, 57 (11): 1885-1900.   DOI: 10.3724/SP.J.1041.2025.1885
    Abstract357)   HTML24)    PDF (935KB)(1505)      

    With advancements in artificial intelligence (AI), artificial intelligence is increasingly becoming a “helper” for humans. In the process of human-AI cooperation risk decision-making, it is urgent to clarify whether artificial intelligence will encourage human risk-taking behavior and how perceived agentic responsibility can play a role. In order to investigate the impact and mechanism of human-AI cooperation on individual risk decision-making, four experiments were conducted. The results showed that: (1) Participants in the control group (i.e., without cooperation) exhibited the highest risk-taking behavior, while those engaged in human-AI cooperation took greater risks than those in human-human cooperation. (2) Individual agentic responsibility partially mediated the effect of human-AI cooperation on individuals’ risk decision-making. Specifically, participants reported a higher sense of agentic responsibility in human-AI cooperation compared to human-human cooperation, which contributed to increased risk-taking. (3) Outcome feedback significantly moderates the mediating role of individual agentic responsibility regarding the influence of human-AI cooperation (versus human-human cooperation) on individuals’ risk decision-making. Notably, under success conditions, participants attributed greater responsibility to themselves in human-AI collaboration compared to human-human collaboration. Conversely, under failure conditions, there was no significant difference in responsibility attribution between the two types of collaboration.

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    The two-factor structure of harm aversion and the mechanism underlying its function of resisting aggression
    CEN Yushan, XIA Lingxiang, HUANG Runyu, LV Jie
    Acta Psychologica Sinica    2025, 57 (7): 1231-1247.   DOI: 10.3724/SP.J.1041.2025.1231
    Abstract343)   HTML7)    PDF (598KB)(89)      

    Harm aversion is a core component of human morality, and revealing its structure and function is of great significance. The view that harm aversion is composed of two relatively independent factors, namely harm action aversion and harm outcome aversion, has not yet received strong empirical support, and the differences between these two factors in inhibiting aggression and the mechanisms behind them are also unclear. To explore these issues, we conducted one pilot study and three formal experiments. The pilot study developed a harm action/outcome aversion dissociation task based on the process dissociation procedure. Experiment 1 used this task to examine the structure of harm aversion. Experiment 2 (including 2a and 2b) explored the moral cognitive mechanisms by which harm action/outcome aversion inhibits aggression. The results showed that harm aversion is composed of two relatively independent factors: harm action aversion and harm outcome aversion. Harm outcome aversion can inhibit aggression through moral disengagement, but the inhibitory effect of harm action aversion on moral disengagement and aggression is not robust. Through the above experiments, this study developed a research tool for harm aversion, tested the two-factor structure of harm aversion, examined the cognitive and behavioral differences of harm aversion in inhibiting aggression, and revealed the moral cognitive pathway of harm aversion inhibiting aggression.

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    The Shared Consumption Paradox: Financial Scarcity Hinders Shared Consumption
    LIU Xiaomin, WANG Xue, XIANG Hongyu, CHEN Zengxiang, SU Song
    Acta Psychologica Sinica    2025, 57 (7): 1281-1294.   DOI: 10.3724/SP.J.1041.2025.1281
    Abstract343)   HTML10)    PDF (524KB)(84)      

    On the basis of the self-regulation model of resource scarcity, this paper investigates how financial scarcity affects shared consumption. Through six studies, we identify a phenomenon—the “shared consumption paradox”—in which individuals experiencing financial scarcity are less willing to participate in shared consumption despite its clear economic advantages, such as reduced per-use costs and increased utility diversification. Our findings reveal that financial scarcity triggers a control-restoration route, increasing the need for psychological ownership of products, which subsequently inhibits consumer participation in shared consumption. We further suggest that highlighting product attribution mitigates the negative impact of financial scarcity on shared consumption. Moreover, this negative effect diminishes when the price benefits of shared products are emphasized or when financially constrained individuals serve as providers rather than users of shared items.

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    Is the Bystander Truly Objective? The Moderation of Third-Party Moral Judgment by Perspective Taking in Moral Scenarios
    SONG Ru, WU Jun, LIU Caixia, LIU Jie, CUI Fang
    Acta Psychologica Sinica    2025, 57 (6): 1070-1082.   DOI: 10.3724/SP.J.1041.2025.1070
    Abstract325)   HTML13)    PDF (745KB)(128)      

    In moral scenarios, individuals often exhibit divergent interpretations and judgments of the same moral event due to varying prior experiences, making true “bystander objectivity” challenging. This study investigates how prior experiences influence perspective selection and subsequently moderate moral judgment and its neural underpinnings by activating different moral role perspectives (decision-maker vs. receiver) using Event-Related Potentials (ERPs). Results reveal that activating the receiver's perspective leads to stricter moral judgments, whereas activating the decision-maker's perspective results in more lenient judgments. Furthermore, the moderating effect of perspective on moral judgment weakens as the decision-maker's gains from immoral choices decrease. At the neural level, activating different moral role perspectives affects early processing and emotional arousal during moral judgment, manifesting as larger N1 and P2 components for the decision-maker perspective, and larger FRN components related to expectation violation for the receiver perspective. These findings indicate that prior moral experiences significantly shape an individual's moral judgment preferences as a bystander, primarily by modulating early processing of others' moral decisions.

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    The so-called influence relationship requires caution: Commentary on Wen et al. (2024)
    GE Xiaoyu
    Acta Psychologica Sinica    2025, 57 (6): 1098-1107.   DOI: 10.3724/SP.J.1041.2025.1098
    Abstract325)   HTML15)    PDF (545KB)(579)      

    This is a commentary on a paper entitled “The influence relationship among variables and types of multiple influence factors working together” by Wen et al., published in Acta Psychologica Sinica in October 2024. They proposed a new concept called the “influence relationship.” This new concept is problematic. First, Wen et al. provided no definition for the “influence relationship,” which is unacceptable for a new-conception paper. Second, according to their proposed inference requirement, if researchers fail to disprove alternative explanations that threaten causal inferences, then they can use the term, “influence relationship,” when reporting their studies. However, this argument is a manifestation of the misunderstanding of inference requirements of causal relationships. Third, “influence” is a term that poses causal meanings according to Chinese and English dictionaries, previous academic articles, and empirical evidence. Thus, the suggestion by Wen et al. to describe a noncausal relationship using “influence” can result in an overstatement of research significance and misunderstanding among fellow academics and public readers. This scenario is contradictory to the increasing expectations of researchers of more rigorous scientific language. Fourth, Wen et al. were confused with goals and the realization of such goals. Failure to disprove alternative explanations is a compromise or a limitation in methods instead of a unique goal.

    Wen et al. stressed that a “directional correlation” lacked an appropriate name in academia. Therefore, they called it the “influence relationship.” This stance is seemingly an unfair description of the academic status quo because researchers typically adopt the word, “predict,” to describe a directional correlation. Based on previous articles, this commentary proposes another framework for the categorization of variable relationships. At the goal level, causal goals—in which researchers hypothesize a difference in Y if X is deliberately changed—can be distinguished from noncausal goals. Furthermore, noncausal goals can be classified as predictive goals (e.g., using texts to predict mental disorder risks or test scores to predict future performance) and purely correlational goals (e.g., a shopping basket analysis or a correlation analysis between a newly proposed personality construct and the Big Five). Neither is concerned with alterations to X. At the realization level, if a researcher opts for a causal goal but fails to provide sufficient evidence to support causal relationships, then they are expected to avoid causal language (e.g., “influence”) when reporting results and key conclusions. Alternatively, they can use terms such as “be associated with” and “predict” if appropriate.

    Moreover, this commentary provides authors and reviewers with several practical suggestions. (A) Clearly define research goals because the different criteria to evaluate causal, predictive, and purely correlational studies should be followed. (B) Enable researchers to discuss causal meanings conveyed by their results even if they fail to offer sufficient causal evidence when targeting causal goals. This statement does not mean an encouragement of overstatement; conversely, only if researchers clearly define their causal goals can they admit the extent to which they are realizing such goals. (C) Use noncausal language to report noncausal results frankly rather than using euphemisms as a strategy for impression management. (D) Avoid an all-or-none attitude toward causal evidence; instead, value every effort that helps disprove alternative explanations and provides more confidence in causal propositions. (E) Do not rely on a single study (even a randomized experiment) to provide conclusive answers to causal questions; instead, value the accumulation of evidence and triangulation.

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    Fertility dependence or fertility autonomy? The impact of husbands’ traditional gender role conceptions on wives’ fertility intentions
    CHEN Sijing, WANG Zhen, YANG Shasha, ZHENG Peng, HE Quan
    Acta Psychologica Sinica    2025, 57 (9): 1661-1676.   DOI: 10.3724/SP.J.1041.2025.1661
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    Existing literature has extensively examined the relationship between gender role conceptions and fertility intentions, reaching a relatively stable conclusion that more traditional gender role conceptions are associated with stronger fertility intentions. A notable limitation in this body of research, however, is its predominant focus on individuals’ own gender role conceptions, while largely neglecting the influence of their spouses’ beliefs and attitudes. Overlooking this relational aspect may lead to incomplete conclusions. Diverging from previous studies, this paper investigates the relationship between spouses’ gender role conceptions and individuals’ fertility intentions, with particular emphasis on the influence of husbands’ gender role conceptions on wives’ fertility intentions, given that women are primarily engaged in fertility behaviors. The central question of this study is whether fertility dependency exists among married women in China. Specifically, it examines whether husbands’ gender role conceptions exert a stronger influence on their wives’ fertility intentions than the wives’ own conceptions. If this is the case, the study further explores the factors contributing to this dependency and seeks to provide a theoretical explanation for these dynamics.

    This study utilized data from the 2014 China Family Panel Studies (CFPS). After data cleaning, a total of 7, 089 valid participants remained. Core variables were constructed as follows: the outcome variable, representing the wife’s fertility intention, was measured by the desired family size (an integer between 0 and 10). The primary predictor variable, representing the couple’s gender role conceptions, was assessed through four items, such as “Men are career-oriented, and women are family-oriented.” The mean score of these four items served as an indicator of gender role conceptions, with higher scores reflecting more traditional perspectives. Results indicate that fertility dependency is significant, and this finding remains consistent regardless of the different measurement approaches and regression models we employed. Specifically, husbands’ gender role conceptions exert a stronger influence on their wives’ fertility intentions than the wives’ own conceptions; notably, this effect does not occur in the opposite direction. Using data from the CFPS 2022 (N = 555), we further investigated the relationship between husbands’ and wives’ gender role conceptions in 2014 and wives’ near-term fertility plans in 2022. The findings indicate that fertility dependency persists; specifically, husbands’ gender role conceptions in 2014 exhibit a stronger correlation with their wives’ fertility plans in 2022 than the wives’ own gender role conceptions.

    Furthermore, we examined fertility dependency across different distributions of household decision-making power. The results indicate that fertility dependency is more pronounced among married women whose husbands hold greater authority in five key domains: household expenditures, savings and investments, real estate purchases, child discipline, and major acquisitions. In contrast, when wives have greater decision-making power, fertility dependency diminishes or shifts toward fertility autonomy, highlighting the critical role of household decision-making power in shaping fertility outcomes. Moreover, fertility dependency is not uniformly distributed across time and space. It is particularly evident among women from earlier generations, those with lower educational attainment, rural hukou holders, and residents of central and western China. By contrast, women from later generations, with higher education, non-rural hukou, and living in eastern China exhibit weaker fertility dependency or even fertility autonomy.

    The findings of this study carry significant theoretical and practical implications. First, the results indicate that a substantial number of married women in China are influenced by their husbands’ gender role conceptions in fertility decision-making. Neglecting the role of husbands’ beliefs may lead to an incomplete understanding of wives’ fertility decisions. Second, this study offers a psychological perspective on gender equality based on gender role conceptions. It suggests that gender inequality is not only reflected in the unequal distribution of economic resources but also in the asymmetric psychological dependence between spouses. Enhancing women’s decision-making power in household affairs can mitigate fertility dependency and promote fertility autonomy. This, in turn, may contribute to broader social progress and support the development of a more harmonious and sustainable society.

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