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    The Impact of Temporal Landmarks on the Willingness of Conspicuous Prosocial Behavior*
    KUAI Ling, WEI Haiying, YAO Qi, XIAO Tingwen, XIE Shengcheng
    Acta Psychologica Sinica    2025, 57 (4): 526-543.   DOI: 10.3724/SP.J.1041.2025.0526
    Abstract369)   HTML22)    PDF (442KB)(994)      

    The propensity of individuals to engage in conspicuous prosocial behavior is influenced by environmental factors. Drawing on self-awareness theory and costly signaling theory, this study explores the impact of temporal landmarks on the willingness to engage in conspicuous prosocial behavior. Through six experiments, the results confirm that at the start (vs. end) of a period, individuals are more inclined to engage in conspicuous prosocial behavior (Experiments 1a, 1b, and 1c). The underlying mechanism is that the temporal landmarks at the beginning of a period trigger a situational public self-awareness, which influences the behavior (Experiments 2a and 2b). Further analysis reveals that self-monitoring plays a moderating role in this effect; for individuals with low self-monitoring, the activation of temporal landmarks has a limited impact on their willingness to engage in conspicuous prosocial behavior (Experiment 3). This study extends the research on the relationship between temporal landmarks and conspicuous prosocial behavior and provides practical guidance for charitable organizations or businesses in planning public welfare marketing activities at critical temporal junctures.

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    Safety trust in intelligent domestic robots: Human and AI perspectives on trust and relevant influencing factors
    YOU Shanshan, QI Yue, CHEN JunTing, LUO Lei, ZHANG Kan
    Acta Psychologica Sinica    2025, 57 (11): 1951-1972.   DOI: 10.3724/SP.J.1041.2025.1951
    Abstract87)   HTML6)    PDF (1109KB)(898)      

    As a result of the rapid development of intelligent domestic robot technology, safety concerns have emerged as a new challenge in human?robot trust dynamics. This study explores and validates novel critical dimensions of trust that influence human and AI users’ perceptions of intelligent domestic robots, with a particular focus on safety trust. The research involves three comprehensive studies, each of which addresses different aspects of these dimensions.

    In Study 1, we developed a safety trust scale pertaining specifically to intelligent domestic robots. This scale was rigorously tested to confirm the stability and validity of its three-dimensional structure, which included performance, relational, and safety trust. The scale’s psychometric properties were evaluated on the basis of factor analysis and reliability testing, thereby ensuring that it could accurately measure trust across different contexts and populations.

    Study 2 explored the static characteristics of robots, such as their anthropomorphism, their height, and the visibility of their embedded cameras. We revealed that human participants exhibited higher levels of safety trust toward robots that were shorter in height and had fewer conspicuous cameras. Interestingly, the degree of anthropomorphism was determined to play a significant role in determining participants’ sensitivity to these static features.

    Study 3 expanded the investigation to encompass the dynamic characteristics of robots, such as movement speed, interaction scenario and camera operation (i.e., turning the camera off). The results indicated that slower-moving robots were generally perceived as safer, and higher levels of safety trust were attributed to them. Moreover, the action of turning off a robot’s camera during interactions was observed to significantly enhance safety trust among human users. The study also highlighted the fact that the influence of these dynamic features varied across different interaction scenarios, thus suggesting that situational factors play crucial roles in shaping trust perceptions.

    Furthermore, a comparative analysis between human and AI users revealed a certain degree of consistency in safety trust judgments. Both human and AI users were generally aligned in terms of their trust assessments on the basis of both static and dynamic robot features. However, the AI’s sensitivity to the visibility of robot cameras was notably lower than that of humans, thus suggesting that AI may prioritize different factors in the context of assessing safety trust.

    Overall, the findings of this research provide valuable insights into the design and manufacturing of intelligent domestic robots, including by emphasizing the importance of considering both static and dynamic features in the process of enhancing safety trust. The results also offer theoretical and practical guidance for the development of trust models that can be applied in various intelligent home environments, thereby ultimately contributing to the advancement of human?robot interactions.

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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
    Abstract222)   HTML9)    PDF (2385KB)(809)      

    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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    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
    Abstract224)   HTML18)    PDF (3308KB)(798)      

    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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    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
    Abstract261)   HTML19)    PDF (1396KB)(780)      

    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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    The influence of social reward and punishment on deception
    YUAN Bo, ZHAO Jingshi, QI Dan, ZHAO Tong, HU Jiaqi
    Acta Psychologica Sinica    2025, 57 (9): 1622-1637.   DOI: 10.3724/SP.J.1041.2025.1622
    Abstract195)   HTML6)    PDF (1125KB)(748)      

    Deception is a complex behavior involving the dissemination of misleading information or the intentional omission of relevant details, conveyed verbally and nonverbally. Although extensive research has explored strategies to mitigate deception, rewards and punishments have consistently emerged as key deterrents. Prior studies have predominantly focused on tangible incentives, such as monetary or token-based rewards and punishments. However, given that deception frequently occurs in interpersonal contexts, social rewards and punishments—eliciting positive or negative emotional responses—may also influence deceptive behavior. Despite this, their precise impact remains unclear.

    To address this gap, the present study employed three experiments to examine the interplay between social rewards, social punishments, and deception, while also investigating the underlying mediating and moderating mechanisms. Experiment 1 engaged 30 participants in a signaling game (also known as the sender-receiver game) to assess whether social rewards and punishments influence deception in a manner similarly to monetary incentives. Experiment 2, involving 60 participants, extended this investigation by incorporating an adapted reputation concern scale to explore reputation concern as a potential mediator. Experiment 3 examined the moderating role of social value orientation (SVO). Participants with different SVOs, identified using the SVO Slider Measure, were recruited to determine whether social value orientation moderates the effects of social rewards and punishments on deception.

    Findings from Experiment 1 demonstrated that social rewards and punishments, akin to monetary incentives, reduced deceptive behaviors, with social punishments proving more effective than social rewards. Drift-diffusion modeling (DDM) analysis revealed that, under conditions of social and monetary rewards and punishments, the drift rate (ν) was significantly lower compared to the condition without incentives, indicating that both forms of incentives promote evidence accumulation favoring non-deceptive behavior. Experiment 2 established reputation concern as a mediator in the relationship between social incentives and deception: Social incentives heightened reputation concerns, thereby reducing deception, whereas monetary incentives did not elicit this effect. Experiment 3 identified social value orientation as a moderator: Individuals with a pro-social orientation exhibited heightened reputation concerns in response to social incentives, leading to reduced deception, whereas this effect was absent among pro-self individuals.

    Overall, the study confirms that social rewards and punishments effectively reduce deceptive behavior. By elucidating the psychological mechanisms involved and broadening the empirical understanding of social incentives, these findings offer valuable insights into mitigating deception in interpersonal interactions. Future research could further explore the moderating effects of different social contexts or individual differences to more comprehensively delineate the boundary conditions under which social rewards and punishments influence deceptive behavior.

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    Reciprocal associations between identity confusion and adolescent NSSI: The longitudinal mediation effect of alienation
    GU Honglei, YU Weiming, CHENG Yufang
    Acta Psychologica Sinica    2025, 57 (2): 247-259.   DOI: 10.3724/SP.J.1041.2025.0247
    Abstract395)   HTML26)    PDF (498KB)(663)      

    Adolescence is a critical period of identity development, which is accompanied by psychosocial maladjustment (e.g., non-suicidal self-injury). In this study, the random intercept cross-lagged panel model (RI-CLPM) was employed to separate between- and within-person effects, and to test the mediation role of alienation in the reciprocal relations between identity confusion and adolescent non-suicidal self-injury (NSSI). A sample of 1258 Chinese middle school students (50.1% girls; Mage at Wave 1 = 13.81 years) completed self-report questionnaires regarding identity confusion, alienation, and NSSI at three time points (called T1, T2, and T3), with 6-month intervals. Results showed that identity confusion and NSSI were mutually reinforcing at the within-person level when controlling for between-person effects. Specifically, T1 NSSI positively predicted T2 identity confusion, which in turn positively predicted T3 NSSI. T2 NSSI also positively predicted T3 identity confusion. More importantly, T2 alienation longitudinally mediated the association between T1 NSSI and T3 identity confusion. Based on Erikson’s theory of psychosocial development, this study connects adolescent developmental tasks and NSSI on time scales, which has implications for the prevention and intervention of NSSI in adolescents.

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    Humans perceive warmth and competence in large language models
    WU Yueting, WANG Bo, BAO Han Wu Shuang, LI Ruonan, WU Yi, WANG Jiaqi, CHENG Cheng, YANG Li
    Acta Psychologica Sinica    2025, 57 (11): 2043-2059.   DOI: 10.3724/SP.J.1041.2025.2043
    Abstract149)   HTML10)    PDF (769KB)(550)      

    With the continuous advancement of technical capabilities and the extensive penetration of application scenarios of Large Language Models (LLMs), the structure of social interaction is transitioning from the traditionally single interpersonal interaction to a multi-level system integrating interpersonal interaction, human-machine interaction, and machine-machine interaction. In this context, understanding how humans perceive and evaluate LLMs has become an important issue. This research systematically examines the perception patterns of LLMs by humans through three studies. Study 1 found that, consistent with how humans perceive other humans, humans primarily perceive LLMs through two dimensions: warmth and competence. However, in general contexts, unlike the warmth priority in human perception, humans prioritize competence when perceiving LLMs. Study 2 explored the priority effect of warmth and competence in predicting different attitudes. The results show that both warmth and competence positively predict humans’ willingness to continue using LLMs and their liking of LLMs, with competence having a stronger predictive effect on willingness to continue using, and warmth having a stronger predictive effect on liking. Study 3 further explored the differences in human perception of LLMs and others. The results show that humans’ warmth evaluations of LLMs do not differ significantly from those of humans, but their competence evaluations of LLMs are significantly higher than those of humans. This study provides a theoretical basis for understanding human perception of LLMs and offers a new perspective for the design optimization of artificial intelligence and the study of human-machine collaboration mechanisms.

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    The impacts of music training and music sophistication on empathy
    HUA Shan, JIANG Xintong, GAO Yangzhenyu, MU Yan, DU Yi
    Acta Psychologica Sinica    2025, 57 (4): 544-558.   DOI: 10.3724/SP.J.1041.2025.0544
    Abstract468)   HTML29)    PDF (694KB)(521)      

    Music has long been recognized for fostering social bonds, with potential benefits for prosocial behaviors and empathy. Empathy, a key predictor of prosocial behaviors, encompasses both cognitive and affective components, involving the mentalizing and sharing of others’ emotional states. While musical training has been linked to increased empathy and prosocial behaviors, the influence of musical sophistication—a comprehensive measure of musical experience—on empathy is less well understood. Moreover, the specific components and pathways through which musical experience influences empathy remain unclear, with existing research relying largely on subjective measures and lacking objective behavioral evidence.

    To address these gaps, we conducted two studies using musical training and musical sophistication as indicators of musical experience to explore their impact on trait and state empathy through questionnaires and a behavioral experiment.

    In Study 1, we examined the relationship between musical training, musical sophistication and empathy in 130 musicians and 121 non-musicians, using standardized measures including the Goldsmiths Musical Sophistication Index (Gold-MSI) and Interpersonal Reactivity Index (IRI). Musicians scored significantly higher than non-musicians in cognitive empathy components (Perspective Taking and Fantasy). After controlling for gender, musical sophistication was positively correlated with cognitive empathy components (Perspective Taking and Fantasy) and an affective empathy component (Empathic Concern). Furthermore, after controlling for gender, openness, psychological states (depression, anxiety, alexithymia), and subjective social status, path analysis revealed that musical sophistication directly influenced cognitive empathy (Fantasy), while musical training indirectly influenced it via the mediating effect of music sophistication.

    Study 2 employed a pain empathy paradigm to assess empathic responses in 59 musicians and 61 non-musicians. Musicians demonstrated a higher alignment between ratings of their own and others' pain when observing others in pain, indicating greater empathy. The musicians' empathic response to pain was serially mediated by music sophistication and Fantasy in cognitive empathy. However, musical sophistication alone did not significantly affect pain empathy when the influence of musical training on musical sophistication was controlled.

    In summary, both long-term musical training and musical sophistication positively impact cognitive empathy. Specifically, musical training indirectly enhances the cognitive component (Fantasy) of trait empathy by improving musical sophistication, thereby fostering greater empathy for others’ pain. In contrast, musical sophistication has a direct and stable relationship with cognitive empathy. These findings support the “social bonding” hypothesis, highlighting music’s role in developing empathy and interpersonal skills.

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    The effect of a social robot on the sharing behavior of 3- to 5-year-old children
    LI Hui, LIU Siyi, PANG Yi
    Acta Psychologica Sinica    2025, 57 (4): 573-583.   DOI: 10.3724/SP.J.1041.2025.0573
    Abstract275)   HTML16)    PDF (246KB)(445)      

    This study investigates the influence of social robots on the prosocial behaviors of children aged three and five. Experiment 1 explored the impact of different observers (human, social robot, no) on the sharing behaviors of these children. The results indicated that 5-year-olds shared significantly more stickers than 3-year-olds in the absence of an observer. For 3-year-olds, the presence of human and robot observers led to significantly more sharing than when no observer was present, with no significant differences between the human and robot conditions. Experiment 2 manipulated the psychological agency of social robots (with, without, control group) and found that 3-year-olds shared more stickers under the observation of robots with psychological agency compared to the other two conditions, showing increased prosocial behaviors. This research suggests that the prosocial behaviors of 3-year-olds can be influenced by the psychological agency of robots, providing perspectives and evidence for future applications and studies in human-robot interaction.

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    The influence of positive emotion with varying intensities of approach motivation on false memory and its neural mechanisms: A study based on semantic-related false memory
    ZHANG Huan, QIN Xiquan, LIU Yu, LIN Lin, WU Jie
    Acta Psychologica Sinica    2025, 57 (3): 349-362.   DOI: 10.3724/SP.J.1041.2025.0349
    Abstract433)   HTML33)    PDF (3750KB)(425)      

    Emotions can influence false memories. Previous research has primarily focused on the effects of emotional valence and arousal on false memories. To date, the motivational dimension of emotions and its neural mechanisms in influencing false memories remain unclear. This study induced participants to experience positive emotions with varying intensities of approach motivation using the facial-expression-gesture method, and combined it with functional near-infrared spectroscopy (fNIRS) to investigate changes in cortical oxyhemoglobin concentration during the learning of DRM word lists under high, medium, and low intensities of approach motivation positive emotions, as well as the impact of these changes on semantically related false memories. The results showed that the high approach condition produced more false memories. Additionally, in some areas of the left frontal and temporal lobes, the brain activation levels under the high approach condition were significantly higher than those under medium and low approach conditions, indicating that high approach conditions elicit greater brain activation in specific regions. Correlation analysis results indicated that under high approach conditions, the activation levels in the left inferior frontal gyrus and temporal lobe were significantly positively correlated with the rate of false memories; under low approach conditions, the activation levels in the left inferior temporal gyrus were significantly negatively correlated with false memories. These results suggest that positive emotions with different intensities of approach motivation affect the generation of false memories, and the intensity of approach motivation affects the strength of activation in semantically related brain regions, with the left inferior temporal gyrus showing a dissociative effect in the process of false memory generation under different intensities of approach motivation positive emotions.

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    The effects of rumination on social anxiety: The role of negative self-beliefs
    GENG Li, FENG Qiuyang, LI Yu, QIU Jiang
    Acta Psychologica Sinica    2025, 57 (5): 792-804.   DOI: 10.3724/SP.J.1041.2025.0792
    Abstract295)   HTML19)    PDF (256KB)(421)      
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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
    Abstract230)   HTML20)    PDF (935KB)(406)      

    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 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
    Abstract239)   HTML17)    PDF (638KB)(376)      

    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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    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
    Abstract691)   HTML27)    PDF (3482KB)(358)      

    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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    A comparative study on human or AI delivering negative performance feedback influencing employees’ motivation to improve performance
    WANG Guoxuan, LONG Lirong, LI Shaolong, SUN Fang, WANG Jiaqing, HUANG Shiyingzi
    Acta Psychologica Sinica    2025, 57 (2): 298-314.   DOI: 10.3724/SP.J.1041.2025.0298
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    Dynamic antecedents of changes in abusive supervision: A latent change score model
    WANG Yongyue, WANG Jing, LIU Jun, JIN Yanghua
    Acta Psychologica Sinica    2025, 57 (3): 479-494.   DOI: 10.3724/SP.J.1041.2025.0479
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    The Impact of Narrative Information on Parochial Cooperative and its Mechanisms
    HE Ning, WANG Ziyi, LIN Jiahao, LI Meng, YOU Xuqun
    Acta Psychologica Sinica    2025, 57 (4): 513-525.   DOI: 10.3724/SP.J.1041.2025.0513
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    Parental emotional warmth, self-control and adolescent prosocial behavior: The moderating role of multilocus genetic and parental gender differences
    NIE Yangang, CHEN Pei, WAN Linxin, YU Chengfu, LI Zhenhua
    Acta Psychologica Sinica    2025, 57 (4): 599-613.   DOI: 10.3724/SP.J.1041.2025.0599
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    The container metaphor and differential mode of association of ethnic identity among Yugur middle school students
    DENG Bilin, WANG Ting, ZHANG Jijia, LIU Xiancui, LIU Sha
    Acta Psychologica Sinica    2025, 57 (3): 428-446.   DOI: 10.3724/SP.J.1041.2025.0428
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