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

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    Conceptual Framework
    Cognitive mechanism and neural basis of groupitizing strategies in numerosity perception
    PAN Yun, YANG Huanyu, ZHU Jun, JIA Liangzhi
    2025, 33 (2):  191-201.  doi: 10.3724/SP.J.1042.2025.0191
    Abstract ( 99 )   PDF (1142KB) ( 119 )   Peer Review Comments
    Numerosity perception involves humans' cognitive ability to extract numerical information from various stimuli, forming a crucial foundation for understanding the world and processing information. Grouping strategies, known as “groupitizing,” encompass the organization of objects into sets or categories during the numerosity perception process. This facilitates rapid and effective numerosity estimation, particularly in situations with short presentation times and numerous quantities. Groupitizing combines the advantages of subitizing and counting, influencing individual arithmetic abilities. However, previous studies have often overlooked the influence of perceptual grouping cues-both intrinsic and extrinsic-on groupitizing strategies in numerosity perception. Additionally, they have failed to comprehensively explore the cognitive and neural mechanisms underlying groupitizing strategies across multiple dimensions.
    To deepen our understanding of this cognitive phenomenon, this study adopts the “A theory of magnitude” (ATOM) as its theoretical framework to systematically investigate groupitizing strategies in visual numerosity perception. The ATOM posits a shared neural basis among time, space, and quantity, linked through the concept of motion. This linkage relies on the brain's shared neural systems involved in encoding temporal, spatial, and numerical information, all of which involve motion, such as objects moving in space, the passage of time, and changes in quantity. By converting different types of motion information into shared neural representations, the brain can establish connections between quantity, time, and space. Therefore, this study integrates the ATOM and comprehensively utilizes behavioral and fMRI techniques to explore the influences of different dimensions of magnitude systems on groupitizing strategies in numerosity perception and investigate their characteristics in individual developmental processes. The research comprises three studies, totaling six experiments, conducted from the dimensions of space, time, and motion.
    Study 1 investigates the influence of intrinsic and extrinsic spatial grouping cues on the cognitive and neural mechanisms underlying numerosity perception in groupitizing, using spatial dot array stimuli. Combining behavioral experiments and fMRI, the study examines how participants process grouping cues at both cognitive and neural levels. The behavioral task involves numerosity estimation, while fMRI reveals the neural basis of processing different types of grouping cues. Study 2 explores the impact of temporal grouping cues on numerosity perception, using sequentially presented stimuli. Participants completed a numerosity estimation task under different stimulus onset asynchrony (SOA) conditions to compare intrinsic and extrinsic grouping cues. The study also employed fMRI to examine brain regions activated during grouping and no-grouping conditions, providing insights into the cognitive and neural mechanisms of temporal grouping and the role of attentional processes in numerosity perception. Study 3, grounded in the sensorimotor numerosity system (SNS), employs a motion adaptation paradigm along with event-related potential (ERP) technology to investigate numerosity perception in the motion dimension. The study includes two adaptation experiments: one involving proprioceptive adaptation through high or low frequency finger tapping and another involving visual adaptation to high or low speed motion point arrays. It explores how both proprioceptive and visual motion adaptation affect numerosity perception and how grouping conditions modulate these adaptation effects.
    This study highlights several significant innovations:
    Firstly, this study explores numerosity perception and groupitizing strategies across multiple dimensions—spatial, temporal, and motion. Compared to previous research that focused on a single dimension, this study provides a more comprehensive examination of how different dimensions affect numerosity perception, offering a new perspective for understanding groupitizing strategies.
    Secondly, by employing fMRI and ERP technology, this study investigates the neural basis of groupitizing strategies in numerosity perception, revealing specific brain regions involved in the process. The validation of these neural mechanisms not only enhances our understanding of groupitizing strategies in numerosity perception but also provides valuable empirical support for the field of cognitive neuroscience.
    Lastly, the study emphasizes the importance of extrinsic grouping cues in numerosity perception, demonstrating that, compared to intrinsic cues, extrinsic cues have a more significant impact on groupitizing strategies. This finding contributes to a better understanding of how groupitizing strategies are formed and operate in numerosity perception.
    In summary, this study enhances the understanding of numerosity perception and groupitizing strategies by examining spatial, temporal, and motion dimensions within the framework of “A theory of magnitude” (ATOM). Utilizing behavioral, ERP and fMRI techniques, it reveals the cognitive and neural mechanisms involved in groupitizing, highlighting the significant roles of intrinsic and extrinsic grouping cues. These findings emphasize the complexity of numerosity perception and the importance of external cues in shaping groupitizing strategies, offering valuable insights for future research.
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    The effect of goal and situation task-switching training on emotion regulation flexibility and its mechanisms
    GAO Wei, LI Yanping, HUANG Yueyuan, YUAN Jiajin
    2025, 33 (2):  202-211.  doi: 10.3724/SP.J.1042.2025.0202
    Abstract ( 126 )   PDF (1404KB) ( 218 )   Peer Review Comments
    Emotion regulation flexibility (ERF) is a vital psychological construct that facilitates individuals in adapting to various social environments. The lack of ERF has been identified as a significant risk factor for the onset and progression of mood disorders, including anxiety and depression. Current research suggests that insufficient task-switching capabilities contribute to the deficits observed in ERF. However, traditional training methods that focus on strategies and cognitive functions have proven ineffective in enhancing task-switching abilities. This highlights an urgent necessity to identify innovative and effective approaches for improving ERF across populations susceptible to mood disorders. In light of this, the present project aims to integrate psychological theories with cognitive-neurological research methodologies to design comprehensive task-switching training programs. These programs will be structured around three key dimensions: goal, situation, and their integration, in order to systematically examine the effects of various training methods on ERF and associated neural mechanisms. The overarching goals of the research are threefold: 1) investigating the mechanism of goal-switching training on ERF. This phase of the study will delve into how training focused on enhancing flexibility in goal orientation can foster improved ERF. We will explore the cognitive processes that underlie effective goal-switching and assess how this training influences emotional regulation capabilities. By employing neuroimaging techniques, we aim to elucidate the brain regions activated during goal-switching tasks, which may provide insights into the neurobiological underpinnings of adaptive emotion regulation; 2) exploring the effect of emotion situation-switching training on ERF. This component will target the impact of training that requires individuals to switch between different emotional scenarios. Participants will engage in exercises designed to shift their emotional responses in hypothetical or real-life situations that demand varying levels of emotional adaptability. Through this training, we seek to determine the efficacy of situation-switching in enhancing ERF, as well as its potential to promote positive emotional states and reduce maladaptive emotional responses; 3) using goal-situation interaction training to improve ERF and explore its neural mechanism. This segment will focus on the integrative training approach that combines both goal orientation and situational awareness. By engaging participants in interactive training modules that require them to simultaneously consider their emotional goals and situational contexts, we aim to enhance their overall ERF. Furthermore, we will explore the neural correlates of improvements in ERF resulting from this training, aiming to shed light on the specific brain networks that facilitate effective emotion regulation during complex goal-situation interactions. Following the execution of these training interventions, a comprehensive analysis will be conducted to evaluate the differential impacts of each training method on ERF and the accompanying changes in brain activity. This approach will not only elucidate the relationship between task-switching capabilities and ERF but also highlight the neuroplasticity changes that may occur as a result of targeted training efforts. The findings from this project aim to advance our understanding of the intrinsic processes underlying ERF, specifically revealing the critical role that goal-situation task switching plays in promoting neuroplasticity. Moreover, the insights gained from this research will contribute to the development of innovative intervention strategies for individuals suffering from mood disorders, ultimately aiding in the broader goal of enhancing mental health outcomes. This project represents a novel interdisciplinary approach to addressing the challenges associated with low ERF, utilizing a combination of psychological investigation and cognitive-neuroscience methods. By prioritizing the training of task-switching abilities through goal and situation integration, we aspire to provide new avenues for improving emotion regulation capabilities, thereby reducing the risk of mood disorders and promoting psychological resilience in affected populations. In sum, our research endeavors seek to contribute to the body of knowledge on mental health, providing new perspectives on how to enhance ERF and better support individuals dealing with mood disorders. Through systematic investigation and comprehensive analysis, we are optimistic that this project will yield significant implications for future research and clinical practices geared toward improving emotional regulation and mental health.
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    Self-processing mechanisms and interventions for children with autism spectrum disorders
    ZHOU Aibao, YUAN Yue
    2025, 33 (2):  212-222.  doi: 10.3724/SP.J.1042.2025.0212
    Abstract ( 101 )   PDF (967KB) ( 157 )   Peer Review Comments
    Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by significant challenges in social communication and interaction. Despite the profound impact of these challenges on the lives of individuals with ASD and their families, the underlying mechanisms that contribute to these social communication deficits remain not fully understood. A key aspect of social cognition is self-awareness, which is essential for comprehending the thoughts, feelings, and perspectives of others. This self-awareness forms the basis of our social interactions and is a critical component of empathy and social competence.
    Against this backdrop, our study proposes a novel perspective—that atypical self-processing, or the way individuals with ASD process information about themselves, may be a key factor contributing to the social communication difficulties that are hallmarks of the disorder. This hypothesis is grounded in the recognition that self-awareness is fundamental to social cognition, and disruptions in this process could lead to the social challenges observed in ASD.
    To explore this hypothesis, we have designed and will conduct a series of self-processing experiments specifically tailored to children with ASD. These experiments will integrate a diverse array of data collection methods, including behavioral assessments, eye-tracking technology, electrodermal activity measurements, and EEG recordings. Each of these methods offers a unique window into the cognitive and neural processes underlying self-processing, allowing us to construct a comprehensive profile of how children with ASD process self-related information.
    The behavioral assessments will provide insights into the overt actions and responses of children with ASD in controlled settings, shedding light on their social and communicative behaviors. Eye-tracking technology will allow us to monitor where children direct their visual attention, particularly in response to social cues, offering valuable information about how they perceive and process social information. Electrodermal activity will give us a measure of the children's physiological arousal and stress levels in response to various stimuli, which can be indicative of emotional regulation challenges often associated with ASD. Finally, EEG data will offer a direct measure of the brain's electrical activity, providing real-time insights into the cognitive processes involved in self-processing.
    The objective of this multi-modal approach is to elucidate the self-processing characteristics in ASD with greater precision and depth than has been possible with single-modal studies. By understanding these characteristics, we aim to develop a cognitive-neural intervention program that leverages the brain's inherent plasticity to enhance self-processing abilities in children with ASD. This intervention program will be designed to target the specific self-processing deficits identified in our experiments, with the ultimate goal of improving social competence in children with ASD.
    The intervention will involve a series of self-cognitive training sessions, carefully crafted to stimulate and reinforce the self-processing mechanisms in children with ASD. These sessions will be adapted to meet the individual needs and abilities of each participant, ensuring that the training is both effective and accessible. We will rigorously assess the impact of this training on the social competence of the children, using a variety of outcome measures to capture the full range of potential benefits.
    By constructing a multi-modal framework that elucidates the relationship between self-processing and social competence, we aim to establish a robust theoretical foundation for clinical diagnosis and intervention in ASD. This framework will not only advance our understanding of the disorder but also inform the development of more effective, targeted intervention strategies. Our hope is that by improving self-processing abilities in children with ASD, we can enhance their social competence, thereby improving their quality of life and their ability to connect with others on a deeper level.
    In conclusion, this study represents a significant advancement in the field of ASD research. Our innovative approach, which combines multi-modal data analysis with targeted cognitive-neural interventions and the development of a comprehensive model, has the potential to revolutionize our understanding of ASD and the way we approach interventions for children with the disorder. Through this work, we aim to not only enhance the social competence of children with ASD but also contribute to the broader understanding of the neurodevelopmental mechanisms underlying social cognition and communication.
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    Exploration of multi-level human-machine integration theory between elderly users and intelligent systems
    HUANG Hanjing, RAU Pei-Luen Patrick
    2025, 33 (2):  223-235.  doi: 10.3724/SP.J.1042.2025.0223
    Abstract ( 99 )   PDF (572KB) ( 132 )   Peer Review Comments
    The development of smart aging is an important measure to meet the challenge of rapid population aging, which can ease the pressure on social aging and meet the increasingly diversified needs of the elderly. However, the current applications of smart aging systems face a series of problems such as low acceptance of the elderly, low interaction effectiveness, low trust, and unclear responsibility allocations. Although researchers have begun to emphasize the human-computer integration mechanism between elderly users and intelligent systems, the existing research is still limited and lacks a holistic theoretical framework and empirical results to support it.
    Therefore, this study aims to construct a theoretical framework for the integration relationship between elderly users and intelligent systems from multiple levels, including user needs, interaction behavior, human-machine trust, and human-machine responsibility, and to deeply explore the influence mechanism of users-related, system-related, and situational factors on the human-system integration.
    First, at the level of user demand and interaction behavior, this study focuses on the actual demand characteristics of different family members in the home environment, analyzes the age effect, constructs the user persona, enhances the understanding of the relevant stakeholders of the needs of elderly users, and matches the intelligent system services with the needs of elderly users; further explores the interaction behavior mechanism between elderly users and intelligent systems, and investigates the comprehensive effects of interaction terminals, social characteristics of intelligent systems and other factors on the intention to use, interaction efficiency, and interaction experience of elderly users, to improve the interaction efficacy and experience of the elderly users.
    Second, at the level of human-machine trust, this study explores the dynamic trust construction process between elderly users and intelligent systems, including the construction process of initial trust at the beginning of use, continuous trust during use, and trust recovery process when the task fails. On this basis, this study explores the comprehensive influence mechanism of multi-dimensional factors of users, systems, and contexts on dynamic trust to promote the establishment of a stable trust relationship between elderly users and intelligent systems.
    Third, at the level of human-machine responsibility, this study focuses on the positive and negative outcomes brought about by the application of intelligent systems in home scenarios, explores the effects of the outcome valences, interaction terminals, the mediating and moderating roles of perceptual characteristics and task characteristics, analyzes the advantages, disadvantages, and potential risks of the application of intelligent systems, and establishes a mechanism for attributing responsibility for human-machine integration in home scenarios.
    In summary, this study adopts a holistic research perspective to construct a theory of the human-machine integration relationship between elderly users and intelligent systems in home-based smart aging scenarios at multiple levels, and to explore the comprehensive influence mechanism of multi-dimensional factors of users, systems, and contexts on human-machine integration. The issues of user needs, interaction behavior, human-machine trust, and human-machine responsibility are closely linked in the process of human-computer integration. The level of user demand and interaction behavior focuses on enabling older users to start using the intelligent system efficiently and naturally, the level of human-machine trust focuses on supporting the ongoing use behavior of older users, and the level of human-machine the level of human-machine focuses on the handling of the interaction results.
    Moreover, existing studies mainly focus on the influence of single-category factors on a certain level of human-machine integration. This study investigates the influence mechanism of multi-dimensional factors on different levels of human-computer integration. This study enriches the theory of human-machine integration management and provides theoretical support for human-machine collaboration. Meanwhile, the research results are conducive to promoting the age-friendly design of intelligent systems, facilitating high-quality interaction between elderly users and intelligent systems, resolving the digital divide, and contributing to realizing an age-friendly smart society.
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    The double-edged sword effect of artificial intelligence services on consumer moral behavior
    PENG Chenming, QU Yifan, GUO Xiaoling, CHEN Zengxiang
    2025, 33 (2):  236-255.  doi: 10.3724/SP.J.1042.2025.0236
    Abstract ( 155 )   PDF (663KB) ( 285 )   Peer Review Comments
    With the rapid expansion of the artificial intelligence (AI) industry, a wide array of AI services has emerged to meet diverse needs. However, research on the relationship between AI services and consumer moral behavior remains in its early stages, not only limited in scope but also facing three primary shortcomings. First, existing studies tend to focus on specific types of moral or immoral behaviors. For instance, some studies examine how AI contexts may prevent consumers from engaging in dishonest behaviors, such as lying (Anthony & Cowley, 2012) or purchasing pirated goods (Kos Koklic et al., 2016), as well as how AI may encourage moral behaviors like donating to charity (Dunn et al., 2020) or volunteering (Macdonnell & White, 2015). However, there is a lack of systematic differentiation and discussion of the dual nature of consumer moral behaviors, encompassing both moral/immoral actions and "doing good" versus “avoiding harm.”
    Second, current research primarily highlights the negative effects of AI services on consumer moral behavior. For example, when AI (rather than human) cashiers in supermarkets undercharge customers, consumers tend to feel less guilt and, consequently, are less inclined to correct the cashier's mistake (Giroux et al., 2022). Similarly, when AI replaces human spokespersons in charitable projects, AI presenters tend to trigger more rational, utilitarian judgments in consumers, thereby reducing their donation amounts (Zhou et al., 2022). However, this focus on the adverse impacts of AI has led to an oversight of the potentially dual-edged sword effects that AI services may exert on consumer moral behavior and the mechanisms underlying these effects.
    Third, existing literature has yet to investigate the boundary conditions that influence the effects of AI services on both types of consumer moral behavior. This gap in understanding not only restricts a fuller demonstration of the complexity and variability of AI’s impact on consumer morality but also limits practical guidance for businesses and society regarding the moral use of AI.
    In response to these research gaps, this study proposes an innovative approach from three perspectives. First, by introducing the moral duality theory from moral psychology into the field of AI ethics, this study categorizes moral behaviors into two types: proscriptive moral behaviors (“doing good”) and prescriptive moral behaviors (“avoiding harm”) (Janoff-Bulman et al., 2009). This framework allows a systematic distinction between the unique impacts of AI services on these two types of moral behaviors, providing a more nuanced understanding of AI's influence.
    Second, grounded in the double-process theory of moral judgment in moral psychology—which asserts that moral behavior formation involves both moral emotions and moral cognition (Greene et al., 2001; Greene et al., 2004; Greene, 2009)—this study aims to reveal the dual-edged effects of AI on moral behavior and their underlying mechanisms by exploring both cognitive and emotional aspects. By doing so, it examines how different AI services may either promote or inhibit moral behavior based on these two psychological processes.
    Third, this study thoroughly identifies the boundary conditions of AI's impact on consumer moral behavior by examining factors related to the AI itself, the consumers, and the types of moral behavior in question. Additionally, it seeks to uncover the moderating factors that exert varying effects on the dual aspects of moral behavior, providing a more comprehensive understanding of how AI services interact with consumer morality.
    In conclusion, by integrating perspectives from moral duality theory and the double-process theory of moral judgment in moral psychology, this research is the first to systematically investigate the mechanisms and boundary conditions of AI's impact on consumer moral behavior. This study not only contributes theoretical insights but also offers practical guidance for enhancing consumer moral consciousness, helping businesses, and aiding public sectors in designing strategies to promote moral behavior through AI innovations.
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    Meta-Analysis
    The effectiveness of Internet-based interventions for bereaved people: A systematic review and meta-analysis
    TANG Suqin, PENG Wenjie, YU Yinqi, FU Zhongfang
    2025, 33 (2):  256-273.  doi: 10.3724/SP.J.1042.2025.0256
    Abstract ( 151 )   PDF (3925KB) ( 222 )   Peer Review Comments
    The death of the loved one is one of the important turning points of people's life. Although most people can recover from bereavement without professional help, a few bereaved people might experience a wide range of mental disorders, including depression, prolonged grief disorder, and posttraumatic stress disorder. The supply of traditional bereavement psychological services is far from meeting the demand of these people. In recent years, Internet-based interventions have gradually been applied to improve the mental health of bereaved people. They can provide therapy for more people, which may greatly ease the imbalance between supply and demand. Systematically investigating the effectiveness of Internet-based interventions for bereaved people and what will influence their effectiveness helps guide clinical practice. However, although there were two reviews on the effectiveness of internet-based intervention for bereaved people, they only relied on a small number of studies published before 2021. With a sudden upsurge in online psychotherapeutic intervention during the COVID-19 pandemic and the growing interest in psychotherapy research for internet-based interventions, more studies were published and needed to be included. In addition, the investigation of moderating effects on the effectiveness of internet-based interventions for bereaved people was still missing. Thus, this study conducted a systematic review and meta-analysis aims to examine the effectiveness of Internet-based mental-health interventions for bereaved people and explore whether the effectiveness was influenced by intervention theories, intervention strategies (the use of exposure, cognitive reappraisal, behavioral activation, or meaning reconstruction within the intervention), the number of sessions, frequency of session completion, therapeutic feedback, the reminder, and dropout rate.
    Systematic searches were conducted in PubMed, PsycINFO, EMBASE, CINAHL, Scopus, Web of Science, CNKI (China National Knowledge Infrastructure), WFD (Wanfang Data), and Weipu database. Then, we searched reference lists and bibliographies of all included articles to ascertain articles not retrieved by the primary search. Comprehensive Meta-Analysis 3 was used for meta-analysis. Publication bias was assessed by funnel plots, Egger's regression test, and the trim and fill technique.
    47 studies of Internet-based interventions for bereaved people were included in the systematic review through literature search and screening, of which 19 randomized controlled trials met the criteria of meta-analysis (N = 1222 participants). The meta-analysis included a total of 68 effect sizes. The results showed that the interventions had a significant moderate effect on mental health (g = 0.54; 95% CI = [0.39, 0.70]). Specifically, the interventions showed significant moderate effects for symptoms of pathologic grief (g = 0.56; 95% CI = [0.39, 0.74]), depression (g = 0.51; 95% CI = [0.36, 0.67]), and posttraumatic stress disorder (g = 0.63; 95% CI = [0.45, 0.81]). In terms of improving mental health, the effectiveness of Internet-based interventions for bereaved people was moderated by the use of meaning reconstruction, the number of sessions, frequency of session completion, and therapeutic feedback. Without using meaning reconstruction, having 10 sessions or more, and therapeutic feedback was associated with a larger effect of the Internet-based interventions, and contacting more than once a week showed a stronger effect than once a week. However, whether an intervention was based on cognitive behavior therapy, set reminders, had a high or low dropout rate, included exposure exercises, cognitive reconstruction, or behavioral activation had no moderating effect.
    This study shows that Internet-based interventions have positive effects on improving the mental health of bereaved people and have different effects under different conditions. It supports that Internet-based interventions can be used as alternative options to face-to-face intervention for bereaved people to alleviate the problem of lacking bereavement service resources, which helps promote Internet-based interventions for bereaved people in clinical practice in China. Additionally, it provides directions for how to develop more effective Internet-based interventions for bereaved people in the future.
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    The behavioral theory of approach-inhibition of power: Theoretical expansion based on a meta-analysis
    WEI Xuhua, JIAO Wenying
    2025, 33 (2):  274-290.  doi: 10.3724/SP.J.1042.2025.0274
    Abstract ( 107 )   PDF (723KB) ( 150 )   Peer Review Comments
    The power approach-inhibition theory is an important theory for explaining the power-behavior relationship, but empirical studies applying the theory have findings that contradict the theory. Differences in the conceptualization of power in previous studies and differences in the power distance of the study samples may account for the existence of inconsistent findings. Therefore, this study uses a meta-analytic approach to explore whether there are differences in the magnitude of the effects of subjective and objective power on approach and inhibition behaviors and the mechanisms of influence, and by exploring possible boundary conditions (i.e., power distances) it attempts to explain the emergence of inconsistent conclusions in previous studies.
    By integrating a meta-analysis of 154 literatures and 261 effect sizes from 245 empirical samples exploring the relationship between power and approach and inhibition behavior from 2003~2023, this study examined the mechanism of the double-edged sword effect of the power and approach-inhibition behavior relationship and the boundary conditions. The results showed that the power and approach-inhibition behavior relationship had a double-edged sword effect, with objective power indirectly increasing approach and decreasing inhibition through subjective power, as well as directly contributing to inhibition, and with subjective power having a stronger explanatory power for behavior than objective power. The moderating effect results showed that power distance strengthened the positive effect of subjective power on approach behavior and the negative effect of subjective power on inhibition behavior.
    There are several innovations and contributions to this study. First, this study expands the real relationship between different types of power and behavior by distinguishing the different effects of subjective and objective power on approach and inhibition behaviors and clarifying the difference in the explanatory power of subjective and objective power on the two types of behaviors. That is, whether it is approach or inhibition behaviors, the explanatory power of subjective power on the behaviors is stronger than that of objective power. The relevant propositions of the power approach-inhibition behavior theory are verified and expanded. Second, this study explores the differences in the mechanisms by which subjective and objective power affects behavior, which explains to some extent the inconsistencies in the findings of previous studies. The results of this study illustrate that objective power needs to indirectly increase approach behavior and decrease inhibition behavior through subjective power, and after controlling for this indirect path, the direct effect of objective power on approach behavior is insignificant, and it positively contributes to inhibition behavior. In other words, when objective power is perceived subjectively (i.e., perceived objective power or activated objective power by external power), the individual's subjective perception of his or her ability to influence others or the environment is activated based on the resources he or she possesses, which increases approach behaviors and decreases inhibition behaviors. When objective power is not perceived (i.e., potential objective power or inactivated objective power), even if objective power is high, the individual's subjective sense of power is still low, and the individual may not perceive himself or herself as a high-power person due to a lack of self-perception, and thus may not engage in approach behaviors or decrease inhibition behaviors. In addition, when individuals have low objective power but high subjective power perceptions (i.e., intrinsic power perceptions), they still exhibit high approach behaviors and low inhibition behaviors because they influence or control others based on their intrinsic self-perceptions and beliefs that they are high power. This finding not only confirms the existence of differences between subjective and objective power in the application of the theory, but also highlights the necessity and importance of distinguishing between these two types of power within the framework of the theory. Finally, this study extends the boundary conditions of the theory by finding the moderating role of power distance between subjective power and approach or inhibition behavior.
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    Regular Articles
    Neural oscillations: Exploring the temporal dynamics of syntactic parsing
    QI Ruiying, FENG Ye, SI Fuzhen
    2025, 33 (2):  291-304.  doi: 10.3724/SP.J.1042.2025.0291
    Abstract ( 97 )   PDF (1071KB) ( 298 )   Peer Review Comments
    The mapping problem, which seeks to establish correspondences between linguistic phenomena and their underlying neural mechanisms, has emerged as a significant research focus. Syntactic parsing, defined as the process by which linear speech sequences are incrementally converted into abstract hierarchical syntactic structures, is considered a fundamental aspect of human language processing. Understanding the neural basis of syntactic parsing is crucial for advancing research on the mapping problem in language and neuroscience. Recent studies have increasingly demonstrated the feasibility of using low-frequency neural oscillation as index for constructing syntactic hierarchies, positioning these oscillations as strong candidates for explaining the neural mechanisms involved in syntactic processing. By dissociating syntactic knowledge from prosodic information, semantic statistical information, and lexical properties, these studies have found a significant correlation between low-frequency neural oscillatory activity and the processes involved in constructing linguistic hierarchies, which indicated that the prior grammatical knowledge is the prerequisite for robust linguistic hierarchy construction, further providing evidence supporting the psychological reality of syntactic processing.
    Furthermore, increasing attention has been directed toward the potential relationship between phase coherence in neural oscillations and different levels of linguistic structure. Research suggests that neural clusters may represent syntactic hierarchies through phase synchronization or desynchronization within the same frequency band or across different frequency bands. As the processing of linguistic input unfolds over time, different neural clusters are progressively activated or inhibited, generating oscillatory signals with distinct phase properties. These oscillatory dynamics contribute to the storage, maintenance, and retrieval of sensory information across different temporal scales, thereby facilitating the dynamic encoding of hierarchical linguistic structures. This capacity for dynamic encoding through temporally coordinated neural oscillations is thought to be critical for constructing linguistic hierarchies, as it enables the brain to process complex syntactic information in real time.
    Several theoretical models, including ROSE, CNAL, SMMM, DORA, VS-BIND have been proposed to explain how neural oscillations relate to syntactic parsing. Within the framework of David Marr’s theory, these models have given a comprehensive description of syntactic parsing and its neural mechanism from the perspective of implementational level, algorithmic level, and computational level, which indicates the non-isomorphic relationship between the temporal structure of neural oscillations and the construction of syntactic hierarchies. The temporal distribution of phase properties in neural oscillations provides a plausible framework for understanding how neural activity encodes syntactic parsing processes. These insights offer a potential solution to the mapping problem by elucidating how different neural oscillatory dynamics might underlie the incremental construction of syntactic structures. This line of research, therefore, holds considerable promise for advancing our understanding of the neural basis of language processing.
    Future research on the relationship between neural oscillations and syntactic parsing can focus on several promising directions. First, achieving finer-grained alignment and causal inference between neural oscillatory activity and the specific stages of syntactic processing will be essential for clarifying how neural signals correspond to different aspects of syntactic hierarchy construction. Second, investigating the mechanisms underlying the generation of neural oscillations and exploring their broader biological significance could provide important insights into how oscillatory activity supports language processing. Third, understanding how neural oscillations change during the course of language development in children will be critical for uncovering the developmental trajectories of neural circuits involved in syntactic parsing. Lastly, examining the neurophysiological foundations of language disorders and identifying how disruptions in neural oscillatory patterns contribute to these conditions could inform new approaches to diagnosis and rehabilitation.
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    Cognitive factors influencing picky eating behavior in children
    LIU Yu, BI Dandan, ZHAO Kaibin, SHI Yiming, Hanna Y. ADAMSEGED, JIN Zheng
    2025, 33 (2):  305-321.  doi: 10.3724/SP.J.1042.2025.0305
    Abstract ( 218 )   PDF (648KB) ( 219 )   Peer Review Comments
    Picky eating in children raises significant concerns about nutritional adequacy, which can lead to long-term health issues and necessitates early intervention. While research on picky eating has focused primarily on social and environmental factors, such as family dynamics, cultural influences, and peer interactions, the role of cognitive processes in the shaping of children’s eating habits has often been overlooked. This review, which involves a comprehensive retrospective analysis, was performed with the aim of elucidating how cognitive processes influence picky eating behaviors in children and the underlying mechanisms driving these effects.
    Currently, the academic community has different perceptions and understandings of the connotations of the concept of picky eating and has yet to form a unified definition. As a consequence, a consensus on the appropriate measures for assessing picky eating is lacking. By conducting a thorough review of the literature, we systematically categorize three key characteristics of picky eating: a lack of dietary diversity, a rejection of unfamiliar foods (food neophobia), and potential long-term negative impacts on both physical health and social interactions. Importantly, a lack of dietary diversity and food neophobia can occur together, but either characteristic may also appear independently. Tools for measuring picky eating in children can be broadly classified into two categories. The first involves assessing picky eating behaviors via relevant questions from established questionnaires that have been tested for reliability and validity, whereas the second uses self-developed questions to evaluate these behaviors. Picky eating behaviors typically peak in early childhood, around the age of five, before gradually diminishing in most children. We propose that the developmental trajectory of children's picky eating behaviors is shaped not only by physiology, self-concept development, and food experiences but also by cognitive abilities such as perception and mental representation.
    We then further investigated the main focus of this review. Our findings reveal that children's sensory sensitivity to food, cognitive representations of food, sensitivity to punishments, and information processing biases all influence their picky eating tendencies. Specifically, first, children with high sensory sensitivity have lower sensory thresholds, making them more likely to avoid foods that evoke unpleasant experiences, thereby contributing to their picky eating behaviors. Second, children who respond well to positive reinforcement may be more inclined to try new foods as they associate them with rewards. Conversely, those who are more attuned to negative feedback might become increasingly resistant to unfamiliar foods as they perceive them as being undesirable or unappealing. Third, children who struggle to form abstract representations of food may find it more difficult to accurately identify different foods and have less precise expectations of their flavors. Consequently, they are more likely to reject novel foods and display pickiness during meals. Finally, attention to negative information about food, along with a tendency to interpret ambiguous food-related information negatively, may exacerbate children's picky eating behaviors.
    On the basis of the existing research, this review suggests several future research directions. First, subsequent studies should explore the roles of more sensory processes and the cross-modal integration of diverse sensory information with regard to children's eating behaviors. The existing studies have typically explored the relationships between a single sensory characteristic, such as touch, smell, or taste, and children's picky eating behaviors. However, food experiences are a multisensory process that often involves the combined effects of multiple senses rather than just one. Cross-modal integration refers to how different sensory modalities (such as sight, smell, and taste) interact and influence eating behavior. Understanding these interactions can offer valuable insights into how to present foods in a more appealing manner to encourage acceptance among children. Second, further research is needed to explore the impact of information processing biases on children's picky eating behaviors. Third, given the close relationship between cognitive factors and picky eating, future intervention studies targeting picky eating should consider the cognitive factors associated with this behavior. This may involve manipulating various food sensory traits to increase food intake, considering the role of sensory sensitivity in the effectiveness of parental feeding practices, and examining how sensitivity to rewards and punishments influences the selection of intervention strategies. Additionally, cognitive bias modification and educational interventions should be incorporated to address and change children's information processing biases related to food.
    In conclusion, this review provides a comprehensive overview of the cognitive mechanisms underlying picky eating in children, emphasizing the cognitive factors involved and suggesting directions for future research. By doing so, we can gain deeper insight into picky eating and help children build positive associations with a diverse range of foods, ultimately promoting balanced and healthy eating habits that support their growth and development.
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    Effects of VR training on cognitive function in older adults with mild cognitive impairment and its neural mechanisms
    CHANG Siqin, HUANG Chen, DAI Yuanfu, JIANG Changhao
    2025, 33 (2):  322-335.  doi: 10.3724/SP.J.1042.2025.0322
    Abstract ( 96 )   PDF (567KB) ( 121 )   Peer Review Comments
    Elderly people with mild cognitive impairment (MCI) is a high-risk group for dementia. However, their brains retain structural and functional plasticity. Virtual reality (VR) based training can help delay the progression of MCI towards dementia.
    VR training can improve the overall cognitive function, especially memory, attention, and executive function of MCI elderly people. There is considerable variation in the results of current research as to whether the effects of VR training to improve cognitive function in older adults with MCI are equal to or superior to interventions in traditional settings. The effect of VR training is influenced by factors such as immersion level, training form, and task content. Increasing the level of immersion in the virtual environment in VR training can increase the number of user interactions with the environment, access more information available for processing, and improve task involvement. Reducing the level of immersion is effective in reducing screen-sickness symptoms, improving the safety and sustainability of training. Combined VR training that includes both physical and cognitive training can improve the cognitive function of older adults with MCI by improving their instrumental activities of daily living (IADL), and parallel training is more effective than serial training. VR training tasks are varied, personalized content settings for VR training tasks are more likely to help improve cognitive functioning in independent individuals. At the same time, improving the authenticity and timeliness of the details in the task situation and matching the cultural context can improve mission completion. The task content also needs to be more in line with the user's lifestyle. Adding appropriate game elements can enhance motivation, but the difficulty of operating the device, the number and complexity of operating instructions need to be considered to make it suitable for MCI elderly. In addition, different virtual environment settings affect the level of brain activation and whole-brain connectivity in people with cognitive impairment.
    Existing studies have primarily used fMRI, EEG, and fNIRS to observe functional changes in brain regions associated with improved cognitive function. In the resting state, VR training positively affected attention-related brain activity in older adults with MCI: theta band power in subjects' parietal area and frontal area were significantly reduced, and the theta/beta ratio (TBR) was lowered. VR training also improved functional connectivity in brain regions related to visual function. In the task state, frontal area activation was significantly reduced in subjects after VR training, suggesting that the intervention improved neural efficiency. Some studies have shown that VR training is significantly better than traditional exercise or traditional combined training in improving cognitive function in MCI elderly. The activation of some brain regions in the task state and theta band power in the resting state parietal area was significantly lower in subjects performed VR training compared to the control group performed the traditional intervention. However, the traditional exercise group performed better in terms of delta/alpha ratio (DAR), TBR, and resting state alpha connectivity.
    VR training is expected to become a supplementary method for cognitive improvement in elderly MCI patients. However, existing research still lacks a unified standard for defining the degree of VR immersion. For specific cognitive functions, the mechanisms by which factors such as the degree of immersion, training form and task content affect intervention outcomes still require further research. There are findings on neuroscience that mainly focus on changes in brain function in the resting state, with relatively insufficient findings on brain activity in the task state. The effects of VR training on brain structure and other neurophysiological activities in older adults with MCI are not yet clear. Future research should clarify the dose-effect relationship of VR intervention, focus on its long-term effects, and further explore the potential mechanisms of VR training to improve cognitive function in elderly MCI patients.
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    Behavioral nudging intervention strategies to increase cancer screening rates
    JIN Lefan, ZHANG Ning
    2025, 33 (2):  336-350.  doi: 10.3724/SP.J.1042.2025.0336
    Abstract ( 68 )   PDF (614KB) ( 76 )   Peer Review Comments
    Increasing incidences of cancer have resulted in a heavy disease burden for the whole country and society, early cancer screening is one of the critical bottlenecks for achieving early diagnosis and treatment of cancer. Traditionally, health education-based cancer screening interventions do not take into account the irrationality in people's decision-making on cancer screening, and as a result, the participation rates in early cancer screening in pretty low. Advances in the behavioral sciences provide insights to nudge cancer screening. Depending on whether the nudge strategy involves reflective thinking and who is being nudged, cancer screening nudging strategies can be categorized into interventions that nudge recipients and providers through System 1 and interventions that nudge recipients and providers through System 2. This categorization not only provides a more comprehensive framework for various cancer screening intervention strategies, but also allows for quick selection of intervention strategies for different recipients. In addition, the framework can also inform the further development and validation of behavioral intervention strategies for nudging cancer screening.
    The first type of intervention strategy is nudging cancer screening recipients through System 1 thinking. Focusing primarily on the automatic thinking of recipients, this type of strategy promotes people to uptake cancer screening by activating their instinctive and automated responses or habits. These strategies include setting participation in cancer screening as the default option, increasing screening rates through inducing future-oriented emotional responses, sending notifications in advance or motivating people to participate in cancer screening through choice architecture design (e.g., highlighting the scarcity of screening services, inducing psychological ownership, and the decoy effect).
    The second type of intervention strategy is one that nudge cancer screening providers through System 1 thinking. Utilizing providers' automatic thinking, this type of strategy sets default reminders for providers to prescribe cancer screening services through electronic health records whenever patients are eligible, which can effectively address the problem of physicians forgetting to schedule cancer screening appointments for their patients, helping to increase screening appointment rates and, in turn, increasing patients’ participation in screening.
    The third type of intervention strategy is one that nudge cancer screening recipients through System 2 thinking. Triggering people's reflective thinking, this type of strategy promotes people to actively think about the benefits of early cancer screening and make their own judgments and choices. These strategies include the use of social norms, framing of screening messages, emphasizing the ethical and social responsibility of early cancer screening, or setting up an active choice architecture for screening participation that triggers the public to think about the pros and cons of screening, as well as using pre-commitment devices to encourage the public to delineate their implementation intentions for early cancer screening, and thereby increase completion rates for early cancer screening.
    The last type of intervention strategy is one that nudge cancer screening providers through System 2 thinking. This type of intervention strategy can be achieved by constructing active choice architectures that prompt physicians to reflect on the pros and cons of scheduling cancer screening appointments for their patients, thereby increasing cancer screening appointment rates, or by evaluating and providing feedback on a physician's performance in providing early cancer screening, prompting them to think about their own performance, or even to compare their performances with their colleagues, to further increase the prescription of early cancer screening services for eligible patients, thus improving patients’ participation in early cancer screening.
    Complementary to traditional cancer screening strategies such as promoting early cancer screening through providing health education and financial incentives, behavioral science-based cancer screening nudging strategies focus on addressing the irrational factors that preclude people from participation early cancer screening. These nudge strategies are typically low-cost, easy to implement, and scalable. Future studies are needed to explore the effectiveness and mechanisms of nudging interventions to promote early cancer screening. This line of research will have implications for developing culturally appropriate, integrated, digital, precise, and intelligent early cancer screening interventions, and contribute to achieving the goal of cancer prevention and control initiative of the Healthy China Action (2019~2030) plan.
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    Values conflicts from a psychological perspective: Impact and theoretical explanation
    YUE Tong, WANG Hong, LI Qinggong, REN Xiaoxiao, ZHANG Xinyi
    2025, 33 (2):  351-361.  doi: 10.3724/SP.J.1042.2025.0351
    Abstract ( 343 )   PDF (503KB) ( 576 )   Peer Review Comments
    This paper provides an in-depth analysis of value conflicts from a psychological perspective, focusing on their background, manifestations, and impact on individual mental health. In today’s society, where globalization and cultural exchange are increasingly prevalent, conflicts between different value systems have become more pronounced. The clash between traditional and modern values, Eastern and Western philosophies, and collectivism versus individualism forms the complex landscape of contemporary value conflicts. This study introduces a novel framework to understand these conflicts by categorizing them into two types: long-term conflicts and immediate conflicts, and by exploring the psychological mechanisms that drive them.
    Long-term conflicts arise when individuals hold two conflicting values that are difficult to reconcile, such as collectivist versus individualist values. These conflicts occur when individuals cannot find a balance between these values, leading to sustained psychological stress, anxiety, and eventually a decrease in overall well-being. For instance, research has shown that individuals who highly value family obligations often face emotional distress when trying to pursue personal freedom. This type of conflict has a profound impact on mental health, as the inability to reconcile competing value systems generates ongoing internal tension. Moreover, conflicts between social roles—such as work responsibilities and family commitments—further exacerbate the psychological strain, making it difficult for individuals to manage these competing priorities.
    In contrast, immediate conflicts are short-lived but intense, arising when individuals are forced to make decisions between opposing values within a short timeframe. Although the duration of these conflicts is brief, they can generate significant psychological pressure. Experimental studies in controlled settings have demonstrated that tasks requiring individuals to choose between values such as “honesty” and “altruism” often result in increased activation in brain regions related to conflict detection and emotion regulation, such as the prefrontal cortex and cingulate cortex. These neural responses suggest that value conflicts not only involve cognitive decision-making but also provoke strong emotional reactions, which can contribute to the psychological burden during moments of intense decision-making.
    The theoretical contribution of this paper is grounded in two major psychological explanations for value conflicts. The first is the motivational opposition hypothesis, which posits that value conflicts arise because different values represent opposing motivational goals. Drawing from Schwartz’s value theory, this paper explains how self-enhancement values (such as power and achievement) frequently conflict with self-transcendence values (such as benevolence and universalism). These conflicts generate internal motivational tension, as individuals are often forced to choose between their personal success and the welfare of others or society. For example, an individual who values both material success and social harmony may experience prolonged stress as these goals often pull them in different directions.
    Secondly, the paper introduces the self-concept consistency theory, which argues that value conflicts threaten individuals’ sense of identity. When people hold incompatible values, their self-concept—how they define and perceive themselves—becomes fragmented, leading to inner tension. For example, individuals who place a high value on both environmental sustainability and materialism face a significant identity conflict, as these values are often seen as contradictory. Psychological discomfort arises when individuals attempt to reconcile these incompatible values. Research suggests that maintaining a consistent self-concept is essential for mental health, and disruptions caused by value conflicts can lead to negative emotions such as guilt, stress, and anxiety.
    In conclusion, this paper offers a comprehensive theoretical framework for understanding value conflicts and their psychological impact. By distinguishing between long-term and immediate conflicts, and by delving into their underlying mechanisms, this study sheds light on how these conflicts shape individual well-being. The integration of the motivational opposition hypothesis and self-concept consistency theory provides a nuanced understanding of why value conflicts are so impactful on mental health. Furthermore, this framework offers insights into potential avenues for future research, particularly in exploring cultural differences in how value conflicts manifest and their subsequent effects on mental health. The paper suggests that further investigation into therapeutic interventions and conflict resolution strategies could mitigate the negative psychological effects of value conflicts, helping individuals navigate these challenges more effectively.
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    Handmade effect on marketing
    QIN Huanyu, LIU Zhancheng, XIE Zhipeng, LV Linxiang
    2025, 33 (2):  362-380.  doi: 10.3724/SP.J.1042.2025.0362
    Abstract ( 125 )   PDF (678KB) ( 237 )   Peer Review Comments
    In recent years, handmade products have experienced a surprising surge in popularity among consumers, largely driven by a wave of de-industrialization. However, the literature on handmade products remains unclear. First, the influence of the handmade effect is still controversial in prior research. While most studies emphasize its positive aspects, the potential negative implications have been largely overlooked. Second, existing research struggles to clearly define and explain the newly emerged category of handmade merchandise. To address these gaps, this research draws from multiple disciplines, including marketing, art, and sociology, to compile concepts, classifications, impacts, mechanisms, and boundaries of the handmade effect. The goal is to provide a robust theoretical foundation for future research, while also offering practical guidance for business managers. By leveraging handmade attributes effectively, businesses can enhance their brand image, boost product sales, and achieve long-term development objectives.
    To clarify the fundamental distinction between handmade and machine-made products, this research emphasizes the crucial role of human involvement in the production process and its significant influence on product value. Existing literature tends to classify products merely as machine-made or handmade, which often leads to overlapping definitions and conceptual ambiguity, thereby hindering further research development. We propose a more nuanced definition: handmade products are those created with direct human engagement, where individuals actively control the creation, manufacture, or processing using their hands and tools, incorporating a variety of materials and techniques. Additionally, we categorize handmade products based on both production methods and technical expertise. This clear and distinct definition enhances our understanding of the characteristics of handmade effects and their impact on consumer perceptions.
    Second, handmade cues, as an important marketing tool for firms, may have a double-edged effect. However, the academic community currently lacks a consensus on the marketing impact of handmade items, with various scholars still debating the effect of handmade elements on products and brands. For example, handmade products are often labeled as traditional and natural. Therefore, products that are handmade are typically evaluated more favorably by consumers. Handmade cues can often evoke consumers’ willingness to pay a premium and prompt positive usage behavior. Furthermore, consumers’ appreciation and acknowledgment of the value of handmade products also serve to facilitate positive word-of-mouth. Conversely, handmade cues may also trigger adverse consumer perceptions and more conservative consumption patterns due to quality risks and cost of use. Handmade products are typically challenging to standardize, less efficient to produce, and may have a higher rate of defective items, which could lead to negative consumer perceptions of these products. Excessive marketing by some companies for handmade products may also create a negative brand image. For these reasons, this research systematically summarizes and organizes both the positive and negative marketing impacts of handmade cues.
    Finally, this research delves into the mediating mechanisms of the handmade effect across six distinct dimensions: perceived nature, uniqueness, quality, effort, love, and psychological ownership. These dimensions encompass a range of psychological and emotional factors that consumers associate with handmade products, collectively shaping their attitudes and behaviors. Furthermore, to better understand the influence of various contexts on consumer perceptions, we examine the boundaries of the handmade effect from three critical perspectives: product type, consumption context, and consumer characteristics. By exploring these facets, we aim to provide a nuanced understanding of how the handmade effect operates in different settings and among diverse consumer groups.
    With advancements in industrial technology and shifting consumer perspectives, there remains significant potential for further exploration in the study of handmade effects. Researchers can delve into the diverse impacts of handmade products, including their influence on consumers’ pro-social behavior. Additionally, future research could examine the mechanisms and boundaries of these effects, thereby enriching the theoretical framework surrounding handmade products. As technology continues to evolve, there is an opportunity to investigate the role of intelligent auxiliary tools in online and virtual environments, providing theoretical guidance on the application of handmade elements within these new contexts. Moreover, researchers should consider how technological advancements affect handmade effects, which could lead to re-evaluating and refining the conceptual scope of handmade products.
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