Institute of Psychology, Chinese Academy of Sciences
Institutional Repository of Institute of Psychology, CASNot a member yet
28529 research outputs found
Sort by
Validating the pro-environmental behavior task in Chinese context
No full textIn recent years, research on pro-environmental behavior has been predominantly grounded in self-report methodologies. Although experimental paradigms can offer more controlled insights into environmental behavior, their development has been constrained by a lack of standardized, validated tools. The ProEnvironmental Behavior Task (PEBT), validated in Belgium and Japan, offers a promising approach, but crosscultural evidence remains scarce and its long-term temporal stability has not been thoroughly assessed. This study aimed to evaluate the PEBT in a Chinese university sample (N = 299) by adapting task parameters to better reflect cultural response tendencies-specifically, increasing wait time differences and reducing trial numbers. Results showed that participants' choices were systematically influenced by behavioral cost (wait time) and environmental consequence (CO2 emissions), indicating that participants took the consequences implemented in the PEBT seriously. Furthermore, PEBT behavior correlated with self-reported environmental propensity and real donation behavior. A four-month follow-up revealed moderate test-retest reliability (r = .60; ICC = .56), indicating temporal stability. Together, these findings support the PEBT's cross-cultural applicability and its potential as a context-sensitive behavioral indicator of environmental propensity for use in laboratory-based research
Processing strategy or representation difference? Investigating the word segmentation difficulty of second language learners of Chinese
No full textDue to the lack of explicit word boundary markers, L2-Chinese learners have shown some difficulties in Chinese word segmentation. This study aimed to tackle the possible reasons of L2-Chinese learners' difficulties in word segmentation: L1-biased processing strategy or developing mental representations of Chinese compound words, or both. In an eye-tracking experiment, high-frequency two-character Chinese compound words were used as targets. These compound words were embedded in sentences where their first component characters with prior verbs were manipulated to be either plausible or implausible, while the whole compound words were always plausible. Sentences were presented in character-spaced or word-spaced style. High-proficiency L2-Chinese learners and native Chinese speakers participated. Results revealed non-native-like patterns of L2-Chinese learners: they holistically processed compound words only in the word-spaced condition, while native speakers did so regardless how sentences were presented. The findings indicated that high-proficiency L2-Chinese learners' difficulty in word segmentation is predominantly caused by their L1-biased processing strategy
The distinct functions of working memory and intelligence in model-based and model-free reinforcement learning
No full textHuman and animal behaviors are influenced by goal-directed planning or automatic habitual choices. Reinforcement learning (RL) models propose two distinct learning strategies: a model-based strategy, which is more flexible but computationally demanding, and a model-free strategy is less flexible yet computationally efficient. In the current RL tasks, we investigated how individuals adjusted these strategies under varying working memory (WM) loads and further explored how learning strategies and mental abilities (WM capacity and intelligence) affected learning performance. The results indicated that participants were more inclined to employ the model-based strategy under low WM load, while shifting towards the model-free strategy under high WM load. Linear regression models suggested that the utilization of model-based strategy and intelligence positively predicted learning performance. Furthermore, the model-based learning strategy could mediate the influence of WM load on learning performance. These findings underscore the critical role of WM capacity in strategic selection during RL process
Altered Brain Network Dynamics in Schizophrenia Patients With Predominant Negative Symptoms: A Resting-State fMRI Study Using Co-Activation Pattern Analysis
No full textNegative symptoms remain a major therapeutic challenge in schizophrenia, significantly impacting functional outcomes, yet their underlying neural mechanisms remain poorly understood. Traditional static functional connectivity analyses, which examine average correlations over time, may overlook critical temporal features of brain network organization and fail to capture dynamic shifts in connectivity patterns. Resting-state functional magnetic resonance imaging (rs-fMRI), particularly when analyzed using co-activation pattern analysis (CAP), provides a framework to study these dynamic network changes with greater temporal resolution. Using CAP analysis of rs-fMRI data, we investigated brain network dynamics in 31 schizophrenia patients with predominant negative symptoms, 31 patients without predominant negative symptoms, and 34 healthy controls. Eight distinct brain states were identified, characterized by antagonistic relationships between sensorimotor, default mode, and salience networks. Compared to healthy controls, the overall schizophrenia group showed altered temporal characteristics, including a reduced occurrence of a sensorimotor-dominant state and excessive transitions from this state to a control-salience network state. Notably, patients with predominant negative symptoms demonstrated distinct temporal characteristics, including reduced dwell time in sensorimotor-salience states and excessive transitions from sensorimotor to control-salience network states. In contrast, patients without predominant negative symptoms did not exhibit such excessive state transitions, while their symptom severity correlated with the occurrence of a cognitive-sensorimotor network state. Network alterations significantly correlated with symptom severity in both the overall schizophrenia group and the subgroup without predominant negative symptoms, while no significant correlations were observed in patients with predominant negative symptoms. These findings suggest that predominant negative symptoms are associated with stable trait-like network reorganization characterized by excessive state transitions rather than state-dependent dysregulation, providing potential neuroimaging markers for clinical assessment
Altered Brain Network Dynamics in Schizophrenia Patients With Predominant Negative Symptoms: A Resting-State fMRI Study Using Co-Activation Pattern Analysis
No full textNegative symptoms remain a major therapeutic challenge in schizophrenia, significantly impacting functional outcomes, yet their underlying neural mechanisms remain poorly understood. Traditional static functional connectivity analyses, which examine average correlations over time, may overlook critical temporal features of brain network organization and fail to capture dynamic shifts in connectivity patterns. Resting-state functional magnetic resonance imaging (rs-fMRI), particularly when analyzed using co-activation pattern analysis (CAP), provides a framework to study these dynamic network changes with greater temporal resolution. Using CAP analysis of rs-fMRI data, we investigated brain network dynamics in 31 schizophrenia patients with predominant negative symptoms, 31 patients without predominant negative symptoms, and 34 healthy controls. Eight distinct brain states were identified, characterized by antagonistic relationships between sensorimotor, default mode, and salience networks. Compared to healthy controls, the overall schizophrenia group showed altered temporal characteristics, including a reduced occurrence of a sensorimotor-dominant state and excessive transitions from this state to a control-salience network state. Notably, patients with predominant negative symptoms demonstrated distinct temporal characteristics, including reduced dwell time in sensorimotor-salience states and excessive transitions from sensorimotor to control-salience network states. In contrast, patients without predominant negative symptoms did not exhibit such excessive state transitions, while their symptom severity correlated with the occurrence of a cognitive-sensorimotor network state. Network alterations significantly correlated with symptom severity in both the overall schizophrenia group and the subgroup without predominant negative symptoms, while no significant correlations were observed in patients with predominant negative symptoms. These findings suggest that predominant negative symptoms are associated with stable trait-like network reorganization characterized by excessive state transitions rather than state-dependent dysregulation, providing potential neuroimaging markers for clinical assessment.</p
Nonlinear Mediation of Parental Phubbing on Child Loneliness: SHAP Interpretability and Double Machine Learning Insights
No full textObjective Grounded in social-ecological theory and parent-child system theory, this study investigates the mechanism by which parental phubbing (excessive smartphone use during parent-child interactions) influences children's loneliness, with a focus on the chained mediation effects of parent-child cohesion and children's social anxiety. Existing research predominantly employs parallel mediation models, overlooking the sequential transmission between parent-child interactions and social development, while traditional regression analyses fail to capture nonlinear relationships in behavioral data. Methods Utilizing scales for parental phubbing, children's loneliness, parent-child cohesion, and social anxiety, we conducted a questionnaire survey with 300 fourth- to sixth-grade students from a primary school in Shanxi Province. Predictive models were constructed using Gradient Boosted Regression Trees (GBRT) and a double machine learning framework, with variable contributions analyzed via SHAP (Shapley Additive Explanations) values, and chained pathways validated through mediation random forests. Results Parental phubbing exhibited a direct effect on loneliness (β = 0.29, 95% CI: 0.21-0.37). The chained mediation effects of parent-child cohesion (β = -0.24) and social anxiety (β = 0.18) were significant (total indirect effect = 0.041), with a nonlinear threshold effect: when parent-child cohesion scores fell below 3.2, the mediation effect intensity increased by 1.7-fold. Conclusion This study reveals a nonlinear dose-response relationship between parental smartphone use and children's psychological distress, providing quantitative evidence for targeted interventions.</p
Psychosexual health's impact on non-suicidal self-injury of college students
No full textTo explore the correlation between Psychosexual Health development (APDS) and non-suicidal self-injury behaviors (NSSI) in adolescence, and investigate the mediating effects by adult attachment (AAS) and social supports (SSRS) between them. This study employs a missed design with quantitative pretests and tracing post-tests involving 1193 college students majoring in preschool and primary education. The participants are first-year (freshmen) and second-year students (sophmore), primarily women, at a higher vocational college in Shaanxi, utilizing APDS, AAS, SSRS and the NSSI questionnaires to evaluate the positive proportion of NSSI behaviors and obtained the ratio of 12.53% among normal individuals, and using SPSS Pearson relevant to analyse correlation of the variables and to test the mediating effect through Amos SEM equation model and Bootstrap method. Confirmed Psychosexual Health impacts on NSSI behaviors significantly, and the Chained mediating effect of AAS and SSRS between them. APDS can significantly negatively predict NSSI under the mediating effects of AAS and SSRS respectively, and insignificantly effect with the chained mediating effect of AAS and SSRS. Improving individual psychosexual health levels is conducive to developing secure adult attachment and promoting good social supports, with certain enlightening significance for decreasing and preventing NSSI behaviors among adolescents. We discussed future research directions based on our results, and revealed important significance timely intervening those with personality disorders and NSSI behaviors through carrying out psychosexual health education to cultivate their secure adult attachment and good social supports. In the meanwhile, to support individuals with psychological growth and group intervention on NSSI behaviors during adolescence, and put forward schools more effective educational guidance and methods of psychological health, by promoting their psychosexual health to enhance individual personality development and mental health levels. With anticipation to provide more scientific theoretical evidence and practical strategies for early educational guidance and group prevention measures in favor of implementing psychosexual health education to prevent NSSI behaviors timely among children and adolescents on campus.</p
Recent Development on Driving Vigilance
No full text驾驶过程中保持适度的警觉水平是保证驾驶安全的重要条件。驾驶警觉下降的类型可归纳为疲劳、分心驾驶及长时间的自动驾驶监控3类。不同类型的驾驶警觉下降在重点特征、注意机制等方面可能存在差异,但其异质性特征尚未明晰。这种异质性可能是导致当前不良驾驶状态检测模型泛化能力不足、预警效能不理想的重要原因。为系统揭示驾驶警觉下降的特征和机制,本研究从驾驶警觉下降的测量工具、类型、特征、影响因素、内在机制、检测方法和预警研究展开文献分析,得出以下结论:第一,警觉的测量工具已形成较为完整的体系,但其在交通场景中应用尚未实现广泛普及。第二,驾驶警觉下降特征已基本明确,但疲劳驾驶的类型差异研究不足,认知分心的脑电特征研究存在空白,且听觉-认知分心、疲劳驾驶及两者的交互效应对接管效率的影响机制亟待探明。第三,警觉下降的机制层面,睡眠相关疲劳导致的驾驶警觉下降与大脑皮层活动减弱相关,而任务相关疲劳、分心驾驶及自动驾驶监控导致的驾驶警觉下降则与注意资源不足和觉醒水平相关。第四,现有检测技术过度集中于疲劳驾驶与视觉-操作分心,对认知分心的检测及警觉等级综合评估研究不足,且因EEG和眼动设备成本高、数据处理复杂,导致其应用受限。第五,现有预警系统忽视了驾驶环境、个体生理心理等因素的影响,缺乏基于驾驶警觉下降机制的差异化预警策略。因此建议:(1)深化跨学科协作,构建交通场景专用的警觉测量范式,推进警觉测量工具在交通领域的实证研究。(2)系统对比各类型疲劳驾驶的驾驶警觉特征差异,解析不同认知加工组合下分心驾驶的眼动-EEG特征图谱。(3)研发便携式低侵入性脑电采集装置,构建基于眼部特征与ERP指标认知分心的实时监测模型。(4)基于标准化的试验设计、创新数据分析方法和多模态数据融合技术三重路径突破ERP指标识别瓶颈。(5)制定驾驶人群分类预警标准,设计基于驾驶警觉下降机制的个性化预警方案,集成车内环境调控预警系统。</p
Narrative Discourse Constructions in Children from Different ckgrounds within the Framework of Clause Complex Theory
No full text本研究基于小句复合体理论，从语篇连贯性、语篇构建模式及语篇复杂度三个维度来衡量儿童的语篇构建能力，并根据所选用的指标是聚焦整体语篇还是局部语篇，将上述三个维度的指标分为粗粒度指标和细粒度指标。研究以处于不同成长背景的三组5岁左右汉语儿童的叙事语篇为分析材料，考察上述指标是否能够刻画学龄前儿童叙事语篇的构建能力。结果发现：1)学龄前儿童能够通过“成分共享”的方式构建连贯语篇；2)粗粒度指标能够更加有效地区分该年龄段不同成长背景儿童口语叙事语篇的连贯性；3)不同成长背景儿童表现出相同的语篇构建模式，但在部分成分共享模式上存在差异；4)语篇复杂度在粗、细粒度指标上均表现出成长背景上的差异。基于上述结果，本文建议可以从语言重铸、语言输入及语言输出三个方面提升幼小衔接阶段儿童的口语能力。</p
The Impacts of Temperature, Relative Humidity and Climate Comforton Depression Symptoms
No full text气候变化正在对人类社会带来重大而深远的影响，气候对心理健康的影响及其机制，亟需深入探讨。基于2012—2020年中国家庭追踪调查(China Family Panel Studies,CFPS)成人库数据（N=58 256）和202个气象观测站气象数据，通过地级市中心经纬度坐标关联匹配，对季节气候条件如何影响人们的抑郁情绪展开研究，关键气候因子选取基本气象因素（气温、相对湿度）以及气候舒适度（温湿指数、寒冷指数和人体舒适度指数），得到以下结论。（1）春夏季节气象因素对抑郁情绪有显著影响，其中，气温和气候舒适度对抑郁情绪的影响程度较大。具体为适宜的气温、相对湿度、温湿指数和人体舒适度指标可以显著降低抑郁情绪，但是寒冷指数升高显著加重抑郁。人体舒适度指数每增加一个单位，抑郁情绪显著降低3%。（2）在春夏季节，当同时控制气温和相对湿度两个气象因素时，各自对抑郁情绪的影响比控制单个气象因素时更为明显。（3）春夏季节南北地区的气候因素对抑郁情绪存在明显差异。北方气候因素对抑郁情绪影响显著，而南方地区未发现显著影响。（4）在春夏季节，不同社会人口因素对抑郁情绪的影响也存在差异，比如未婚人口占比越大，公众抑郁情绪水平可能越高。本研究结果强调了非极端的气候条件对身心健康的潜在影响，以期推动我国对公众气候变化心理问题的关注，并为气候学、心理学相关学科和政府部门制定政策提供参考，助力构建全民参与的气候适应型社会。</p
Access Repository Dashboard
Do you manage Institutional Repository of Institute of Psychology, CAS? Access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard!