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    The impact of different types of academic stress on subcomponents of executive function in high school students of different grades
    MA Chao, WANG Yanyun, FU Junjun, ZHAO Xin
    Acta Psychologica Sinica    2025, 57 (1): 18-35.   DOI: 10.3724/SP.J.1041.2025.0018
    Abstract865)   HTML43)    PDF (1249KB)(1498)      

    This study investigated the roles of four dimensions of academic stress in various executive function components among 985 high school students from grades 10 to 12 using correlation analysis and structural equation modeling. The results revealed that as students progressed through the high school grades, the negative predictive effects of parental stress and teacher stress on various executive function components gradually increased, while the negative predictive effect of social stress gradually decreased. In contrast, self-imposed stress exhibited a positive predictive effect on interference inhibition, response inhibition, and attention switching abilities among high school students, and this positive effect strengthened with advancing grades. These findings indicate that different types of academic stress have varying predictive effects on executive function components, and these effects change as students progress through high school. The conclusions drawn from this study have important implications for educators in effectively developing strategies to cope with academic stress among high school students.

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    New research paradigms and agenda of human factors science in the intelligence era
    XU Wei, GAO Zaifeng, GE Liezhong
    Acta Psychologica Sinica    2024, 56 (3): 363-382.   DOI: 10.3724/SP.J.1041.2024.00363
    Abstract715)   HTML35)    PDF (807KB)(1386)      

    This paper first proposes the innovative concept of “human factors science” to characterize engineering psychology, human factors engineering, ergonomics, human-computer interaction, and other similar fields. Although the perspectives in these fields differ, they share a common goal: optimizing the human-machine relationship by applying a “human-centered design” approach. AI technology has brought in new characteristics, and our recent research reveals that the human-machine relationship presents a trans-era evolution from “human-machine interaction” to “human-AI teaming.” These changes have raised questions and challenges for human factors science, compelling us to re-examine current research paradigms and agendas.
    In this context, this paper reviews and discusses the implications of the following three conceptual frameworks that we recently proposed to enrich the research paradigms for human factors science. (1) human-AI joint cognitive systems: This model differs from the traditional human-computer interaction paradigm and regards an intelligent system as a cognitive agent with a certain level of cognitive capabilities. Thus, a human-AI system can be characterized as a joint cognitive system in which two cognitive agents (human and intelligent agents) work as teammates for collaboration. (2) human-AI joint cognitive ecosystems: An intelligent ecosystem with multiple human-AI systems can be represented as a human-AI joint cognitive ecosystem. The overall system performance of the intelligent ecosystem depends on optimal cooperation and design across the multiple human-AI systems. (3) intelligent sociotechnical systems (iSTS): human-AI systems are designed, developed, and deployed in an iSTS environment. From a macro perspective, iSTS focuses on the interdependency between the technical and social subsystems. The successful design, development, and deployment of a human-AI system within an iSTS environment depends on the synergistic optimization between the two subsystems.
    This paper further enhances these frameworks from the research paradigm perspective. We propose three new research paradigms for human factors science in the intelligence ear: human-AI joint cognitive systems, human-AI joint cognitive ecosystems, and intelligent sociotechnical systems, enabling comprehensive human factors science solutions for AI-based intelligent systems. Further analyses show that the three new research paradigms will benefit future research in human factors science. Furthermore, this paper looks forward to the future research agenda of human factors science from three aspects: “human-AI interaction,” “intelligent human-machine interface,” and “human-AI teaming.” We believe the proposed research paradigms and the future research agenda will mutually promote each other, further advancing human factors science in the intelligence era.

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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)(993)      

    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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    Relationship between adolescents’ smartphone stress and mental health: Based on the multiverse-style analysis and intensive longitudinal method
    HUANG Shunsen, LAI Xiaoxiong, ZHANG Cai, ZHAO Xinmei, DAI Xinran, QI Mengdi, WANG Huanlei, WANG Wenrong, WANG Yun
    Acta Psychologica Sinica    2024, 56 (6): 745-758.   DOI: 10.3724/SP.J.1041.2024.00745
    Abstract438)   HTML31)    PDF (916KB)(975)      

    To explore the relationship and mechanisms between smartphone stress and adolescent mental health, Study 1 examined the robust relationship between smartphone stress and adolescent mental health in a sample of 74,182 adolescents using multiverse-style analysis; Study 2 conducted an intensive longitudinal survey over 35 days with 507 adolescents to investigate the mechanisms through which smartphone stress affects their mental health. Study 1 found that more than half of the adolescents reported experiencing stress from smartphones, and there was a robust negative correlation between smartphone stress and mental health, deserving attention from researchers and society. Study 2 identified that intensity/fluctuation of negative emotions and rumination mediate the effect between smartphone stress and mental health, with differences in how these factors affect positive or negative dimensions of mental health. This research extended, for the first time, the “stress-cognition/emotion” theory and the “media use-digital stress-mental health” model in depth and breadth, and provided new perspectives and a basis for promoting youth’s mental health development.

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    Understanding the Rise of Unique Names: The Emphasis on Uniqueness Matters
    BAO Han-Wu-Shuang, CAI Huajian, JING Yiming
    Acta Psychologica Sinica    2024, 56 (7): 954-963.   DOI: 10.3724/SP.J.1041.2024.00954
    Abstract450)   HTML19)    PDF (524KB)(963)      

    Uncommon personal names have become increasingly popular in many countries and cultures over the past decades. However, little is known about the causes. We propose that the emphasis on uniqueness, manifested both as a cultural value at the macro level and as an individual need at the micro level, may account for the widely observed increase in unique-naming practices. We tested these hypotheses in China. Study 1 found that the increasing cultural emphasis on uniqueness (rather than on independence or competition), as a Granger cause, explained the increasing name uniqueness. Study 2 revealed that the increasing individual need for uniqueness (rather than narcissism or self-esteem) explained the higher preference for unique baby names among younger than older generations. Study 3 showed that, in actual naming practices, younger parents emphasized name uniqueness (rather than modernity, positivity, or other features) more than older cohorts. These findings convergently support our hypotheses, highlighting the importance of identifying specific mechanisms underlying psychological and behavioral changes, rather than assuming the rising individualism as a general explanation.

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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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    The influence of cultural differences between China and the West on moral responsibility judgments of virtual humans
    YAN Xiao, MO Tiantian, ZHOU Xinyue
    Acta Psychologica Sinica    2024, 56 (2): 161-178.   DOI: 10.3724/SP.J.1041.2024.00161
    Abstract753)   HTML30)    PDF (1051KB)(807)      

    Virtual humans are digital characters created in computer graphics software that take a first-person view of the world and have a social media presence. Compared with real humans, however, are people likely to attribute moral responsibility differently to virtual humans when they do something morally wrong? This important empirical question remains unanswered. Therefore, we addressed this query using Mental Perception Theory. We did so through exploring the influence and mechanism of cultural differences between China and the West on individuals’ moral responsibility judgments of virtual humans versus real humans. Findings revealed that, when virtual humans engaged in immoral behaviors—irrespective of whether real humans or artificial intelligence (AI) controlled them—people in China (vs. the West) attributed more moral responsibility to virtual humans but equal moral responsibility to real humans (Study 1a~1c). Perceived mental capacity, especially perceived experience, mediated the interaction effect of the culture differences (Study 2). Furthermore, compared with Westerners, Chinese people were more likely to punish virtual (vs. real) humans, such as by no longer following their social accounts (Study 3). The current research provided evidence for the cultural differences between Chinese people and Westerners on moral responsibility judgments of virtual humans and contributed to literature on cultural differences and the theory about moral judgments on non-human entities.

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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)(797)      

    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
    Abstract260)   HTML19)    PDF (1396KB)(779)      

    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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    Generosity in poverty: The impact of material scarcity from a self-construction perspective
    ZHAO Na, DUAN Yujia, ZHANG Hengxing
    Acta Psychologica Sinica    2024, 56 (9): 1176-1189.   DOI: 10.3724/SP.J.1041.2024.01176
    Abstract357)   HTML22)    PDF (566KB)(772)      

    To better address the issue of the relationship between scarcity and generosity, this study intends to approach this from the perspective of self-construction and investigate the role of face consciousness between the two. We argue that face consciousness plays a moderating role in the relationship between scarcity and generous behaviors. Specifically, individuals with low face consciousness experienced a significant negative effect of scarcity on generous behavior.

    Three studies (comprising five sub-studies) were conducted to validate the hypotheses mentioned above. Study 1 (Study 1a and Study 1b) explored the influence of material scarcity on generous relational behavior. Building on Study 1, Study 2 (Study 2a, Study 2b) incorporated scenarios involving rule-compliance or charitable generous behavior, measured individuals’ scarcity mindsets, and manipulated the perceived importance of face to further investigate the relationships among these factors. Study 3 employed a questionnaire-based measure to investigate the roles of gaining face and giving face in the tendency toward scarcity and generous behavior.

    The results demonstrate a significant main effect of scarcity on generous behavior, indicating that scarcity has a significant negative predictive effect on generous behavior. Based on previous research, this study proposes, from a psychological perspective, that being generous despite limited resources is more of a way for individuals to maintain their levels of self-esteem and social identity through generous actions, a manifestation of an individual’s defense mechanism. By studying the scarcity mindset of relatively impoverished individuals and conducting research related to prosocial behavior, it is possible to promote social harmony and scientifically manage relative poverty.

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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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    Chunking feedback in instructor-learner interaction facilities long-term learning transfer: Behavioral and fNIRS hyperscanning studies
    ZHU Yi, HU Yi
    Acta Psychologica Sinica    2024, 56 (5): 555-576.   DOI: 10.3724/SP.J.1041.2024.00555
    Abstract313)   HTML36)    PDF (2944KB)(734)      

    Elaborated feedback facilitates deep learning, such as transfer. However, how the presentation of feedback in instructor-learner interactions affects long-term learning transfer and its interpersonal neural basis remains unclear. This study employs a face-to-face instructor-learner question-and-answer feedback task, exploring through two dyadic experiments (behavioral and fNIRS hyperscanning) the long-term facilitation of learning transfer by chunked feedback presentation, cognitive processes, and their interpersonal neural basis. The results reveal that chunked feedback promotes long-term transfer in students with low prior knowledge. Chunked error correction mediates between feedback presentation and long-term transfer. During the process of providing and receiving chunked feedback, greater brain-to-brain synchrony in the frontal and parietal lobes was observed between teachers and students, and frontal lobe synchrony predicted long-term transfer and chunked error correction. These findings offer a new understanding of the cognitive and neural basis of real instructional feedback in classrooms from an interpersonal perspective and provide practical insights for enhancing the effectiveness and efficiency of instructional feedback.

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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
    Abstract394)   HTML26)    PDF (498KB)(661)      

    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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    How semantic prosody is acquired in novel word learning: Evidence from the “Double-Date Tree” Effect
    WU Shiyu, LI Zan
    Acta Psychologica Sinica    2024, 56 (5): 531-541.   DOI: 10.3724/SP.J.1041.2024.00531
    Abstract462)   HTML54)    PDF (518KB)(607)      

    Generally, a word’s meaning consists of at least two components. The first is denotative meaning, representing the definitional meaning found in dictionaries and serving as the word’s fundamental meaning. The second component involves semantics that a word “absorbs” from its linguistic context, not constrained by definitions; this is known as semantic prosody, described as a consistent aura of meaning with which a form is imbued by its collocates. While theories and empirical studies have shed light on mechanisms supporting the acquisition of the first word meaning component, the acquisition of the connotative meaning engendered by semantic prosody has been overlooked. It remains unclear whether readers can unconsciously acquire the semantic prosody (or emotional connotations) of a novel word after encountering it consistently in a context with a strong emotional polarity.
    Against this backdrop, we conducted a word learning experiment, manipulating context emotionality (negative versus neutral versus positive) and context variability (same-repeated versus varied contexts) as crucial contextual variables. This aimed to address two understudied questions in vocabulary acquisition: (1) Does transfer of affect to a word from its linguistic context take place through reading exposures, facilitating the acquisition of semantic prosody for the word? If so, is such transfer influenced by context variability? (2) Does the acquired semantic prosody for words affect the acquisition of word forms and meanings, and is this acquisition modulated by context variability? This experiment involved two sessions: a reading-and-learning phase and a testing phase. During the reading-and-learning session, participants read emotionally charged passages, simultaneously learning embedded target words. The testing session included an immediate posttest, incorporating four vocabulary tests—valence rating, orthographic choice, definition matching, and definition generation. A total of 196 Chinese speakers participated in the experiment.
    Mixed-effects models were utilized to analyze data from the valence rating task and the other three vocabulary knowledge tests. The findings revealed that, within the same-repeated context, manipulating context emotionality (positive versus neutral versus negative) significantly influenced valence ratings, showing significantly higher ratings in the positive condition compared to neutral and negative conditions. Conversely, in the varied context, no significant differences in valence ratings were observed. This result supports the hypothesis of the “Double-Date Tree” effect, emphasizing the effect of repetitive texts compared to multiple texts. However, in the varied context, valence ratings played a role in influencing participants’ performances in the vocabulary tests, leading to better outcomes as valence ratings increased. In the same-repeated context, valence ratings had minimal effect on accuracy in the orthographic choice test and the definition prompting test.
    We posit that the effective mechanism for learning the semantic-prosody-engendered connotations of words involves the transfer of affect from their collocations. However, this transfer seems to be contingent on context variability, occurring only in the same-repeated context and not in the varied context. Furthermore, we illustrate that the emotionality of context influences the quality of both orthographic and semantic word learning, with words being better learned in positive contexts as opposed to negative or neutral ones.

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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)(549)      

    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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    Prompts affect the learning-by-teaching process and learning outcome in multimedia learning*
    WANG Fuxing, HUANG Yu, ZHANG Yang, ZHU Wanling, LENG Xiaoxue
    Acta Psychologica Sinica    2024, 56 (4): 469-481.   DOI: 10.3724/SP.J.1041.2024.00469
    Abstract377)   HTML13)    PDF (2802KB)(495)      

    This study mainly explores the effects of different types of prompts on the learning-by-teaching process and learning outcomes. Experiment 1 replicated learners who used learning-by-teaching strategies performed better than those who restudied. Experiment 2 included four conditions: picture prompts, text prompts, keyword prompts, and no prompts. The results showed that picture prompts and keyword prompts can effectively improve retention performance, while keyword prompts can also improve transfer performance. In experiment 3, the effects of receiving and generating prompts were compared. The results showed that, on retention test, learners performed better in keyword prompts group and generated prompts group than in the control group, while on transfer test, learners in the generated prompts group perform better than those in the control group. In addition, both experiment 2 and experiment 3 found that the number of idea units played a mediating role in the effect of prompts on learning performance. The conclusions are as follows: (1) Providing picture prompts in learning-by-teaching can promote retention while providing keyword prompts can promote both retention and transfer; (2) Compared to receiving prompts, learners who actively generate prompts can promote transfer better; (3) The number of idea units generated by learners plays a mediating role in the effect of prompts on learning. Above all, the study verified the effectiveness of RPT and GLT in the process of learning by teaching in a multimedia learning environment.

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    The influence of perceived robot threat on workplace objectification
    XU Liying, WANG Xuehui, YU Feng, PENG Kaiping
    Acta Psychologica Sinica    2024, 56 (2): 210-225.   DOI: 10.3724/SP.J.1041.2024.00210
    Abstract561)   HTML35)    PDF (124KB)(479)      

    With buzzwords such as “tool man”, “laborer” and “corporate slave” sweeping the workplace, workplace objectification has become an urgent topic to be discussed. With the increasing use of artificial intelligence, especially robots in the workplace, the workplace effects produced by robots are also worth paying attention to. Therefore, the present paper aims to explore whether people’s perception of robots’ threat to them will produce or aggravate workplace objectification. On the basis of reviewing the related research on workplace objectification and robot workforce, and combined with intergroup threat theory, this paper elaborates the realistic threat to human employment and security caused by robot workforce, as well as the identity threat to human identity and uniqueness. From the perspective of compensatory control theory, this paper proposes the deep mechanisms and boundary conditions of how perceiving robot threat will reduce people's sense of control, thereby stimulating the control compensation mechanism, which in turn leads to workplace objectification.

    This research is composed of eight studies. The first study includes two sub-studies, which investigate the relationship between perceived robot threat and workplace objectification through questionnaires and online experiments. This study tries to find a positive correlation and a causal association between perceived robot threat and workplace objectification. As predicted, results showed that workplace objectification was positively correlated with perceived robot realistic threat (r = 0.15, p < 0.001) and perceived robot identity threat (r = 0.18, p < 0.001) (Study 1a). In Study 1b, workplace objectification in high perceived robot threat condition (M = 3.54, SD = 1.01) was significantly more than in low perceived robot threat condition (M = 3.32, SD = 0.92), F(1, 399) = 4.94, p = 0.027, η2 p = 0.01.

    The second study comprises three sub-studies, which explore why perceived robot threat increases workplace objectification. This study aims to verify the mediating effect of control compensation (i.e., sense of control), to explain the psychological mechanism behind the effect of perceived robot threat on workplace objectification, and to repeatedly verify it through different research methods. In Study 2a, workplace objectification was positively correlated with perceived robot realistic threat (r = 0.12, p = 0.017) and perceived robot identity threat (r = 0.18, p < 0.001). In addition, a bootstrapping mediation analysis (model 4, 5000 iterations) showed that the effect of perceived robot identity threat on workplace objectification was mediated by sense of control, b = 0.02, 95%CI = [0.002, 0.038]. In Study 2b, workplace objectification in high perceived robot threat condition (M = 2.85, SD = 0.90) was significantly more than in low perceived robot threat condition (M = 2.64, SD = 0.65), F(1, 295) = 5.49, p = 0.020, η2 p = 0.02. Furthermore, a bootstrapping mediation analysis (model 4, 5000 iterations) showed that the effect of perceived robot identity threat on workplace objectification was mediated by sense of control, b = 0.11, 95% CI = [0.020, 0.228]. In Study 2c, a one-way ANOVA revealed that perceived robot threat influenced workplace objectification, F(2, 346) = 3.68, p = 0.026, η2 p = 0.02. Post-hoc pairwise comparison using Bonferroni showed that workplace objectification in perceived robot identity threat condition (M = 3.11, SD = 0.82) was significantly more than in control condition (M = 2.85, SD = 0.72), p = 0.028. Additionally, a bootstrapping mediation analysis (model 4, 5000 iterations) showed that the effect of perceived robot identity threat on workplace objectification was mediated by sense of control, b = 0.116, 95% CI = [0.027, 0.215].

    The third study also consists of three sub-studies. Based on the three compensatory control strategies proposed by the control compensation theory, in addition to affirming nonspecific structure, this study tries to further explore the moderating effect of personal agency, external agency, and specific structure. As predicted, personal agency played a moderating role in the effect of perceived robot identity threat on workplace objectification. Specifically, in low personal agency condition, perceived robot identity threat had a significant effect on workplace objectification (b = 0.57, SE = 0.17, t = 3.30, p = 0.001), while this effect was not significant in high personal agency condition (b = −0.10, SE = 0.16, t = −0.62, p = 0.536) (Study 3a). In addition, external agency also significantly moderated the relationship between perceived robot identity threat and workplace objectification. Specifically, in low external agency condition, perceived robot identity threat had a significant effect on workplace objectification (b = 0.18, SE = 0.06, t = 2.63, p = 0.004), while this effect was not significant in high personal agency condition (b = 0.01, SE = 0.06, t = 1.10, p = 0.920) (Study 3b). Similarly, Study 3c revealed that specific structure also significantly moderated the relationship between perceived robot identity threat and workplace objectification. Specifically, in low external agency condition, perceived robot identity threat had a significant effect on workplace objectification (b = 0.24, SE = 0.07, t = 3.64, p < 0.001), while the effect was not significant in high personal agency condition (b = −0.02, SE = 0.07, t = −0.27, p = 0.784).

    The main findings of this paper can be summarized as follows. First, perceived robot threat, especially identity threat, leads to an increase in workplace objectification. Second, the sense of control plays a mediating role in the effect of perceived robot threat (mainly identity threat) on workplace objectification. Specifically, the higher the perceived robot identity threat, the lower the sense of control, and the more serious the workplace objectification. Third, the other three strategies proposed by compensatory control theory, namely strengthening personal agency, supporting external agency and affirming specific structure, can moderate the effect of perceived robot threat on workplace objectification.

    The main theoretical contributions of this paper are as follows. First, it reveals the negative influence of robots on interpersonal relationships and their psychological mechanism. Second, it extends the applicability of compensatory control theory to the field of artificial intelligence by proposing and verifying that perceived robot threat increases workplace objectification through compensatory control. Third, the relationship between different compensation control strategies is discussed, and the moderating model of perceived robot threat affecting workplace objectification is proposed and verified. The main practical contributions are twofold. First, it provides insights into the anthropomorphic design of robots. Second, it helps us to better understand, anticipate and mitigate the negative social impact of robots.

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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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