Cognitive Systems Research最新文献

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Brain and autonomic correlates of procrastination as “active” or “passive” strategy in decision-making 大脑和自主神经将拖延作为决策中的“主动”或“被动”策略
IF 2.4 3区 心理学
Cognitive Systems Research Pub Date : 2026-04-01 Epub Date: 2026-01-27 DOI: 10.1016/j.cogsys.2026.101448
Michela Balconi , Katia Rovelli , Roberta A. Allegretta
{"title":"Brain and autonomic correlates of procrastination as “active” or “passive” strategy in decision-making","authors":"Michela Balconi ,&nbsp;Katia Rovelli ,&nbsp;Roberta A. Allegretta","doi":"10.1016/j.cogsys.2026.101448","DOIUrl":"10.1016/j.cogsys.2026.101448","url":null,"abstract":"<div><div>Procrastination, frequently perceived as a detrimental habit, can be classified into active (“actively to put off tasks”) and passive (“let things go”) forms, each with distinct cognitive, affective, and behavioral characteristics. However, little is known about whether these two forms rely on distinct cognitive, emotional, and physiological mechanisms. This study examined behavioral data, electrophysiological and autonomic measures as arousal indices (skin conductance level and response, heart rate and heart rate variability) in 33 adults during a decision-making scenario. Active and passive procrastination scores were calculated and scales measuring personality traits (Big Five Inventory), decision-making styles (General Decision Making Style), and maximization tendency (Maximization Scale) were collected. Results showed higher response times for active than passive procrastination and highlighted the importance of the alpha band in both forms, though with different functional meanings. Additionally, passive procrastination was linked to increased arousal, suggesting emotion- or avoidance-oriented strategies. Correlation analysis revealed distinct individual factors related to active and passive procrastination, providing deeper insight into the cognitive and physiological aspects of procrastination. In conclusion, these findings highlight procrastination as a heterogeneous phenomenon shaped by individual differences and specific cognitive and affective mechanisms.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"96 ","pages":"Article 101448"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An exploration of the applicability of information processing theories in road hazard perception context using e-scooter simulator in augmented virtuality scenarios 利用增强虚拟场景下的电动滑板车模拟器,探索信息处理理论在道路危险感知情境中的适用性
IF 2.4 3区 心理学
Cognitive Systems Research Pub Date : 2026-04-01 Epub Date: 2026-01-24 DOI: 10.1016/j.cogsys.2026.101446
Martyna Fidler , Robin Palmberg , Yusak Susilo
{"title":"An exploration of the applicability of information processing theories in road hazard perception context using e-scooter simulator in augmented virtuality scenarios","authors":"Martyna Fidler ,&nbsp;Robin Palmberg ,&nbsp;Yusak Susilo","doi":"10.1016/j.cogsys.2026.101446","DOIUrl":"10.1016/j.cogsys.2026.101446","url":null,"abstract":"<div><div>This paper aims to provide a cognitive perspective on the hazard perception process in the traffic situation based on the conceptual frameworks of two complementary theories of brain information processing, namely, Signal Detection Theory and Predictive Coding Theory. The study uses an augmented virtuality scenario encompassing a simplified traffic situation, where participants are faced with hazard cues characterised by a different degree of predictability. Throughout the experiment, the acceleration and braking behaviour of an e-scooter rider together with the electroencephalography (EEG) data is collected. The developed experimental setup allows for testing the applicability of brain theories in explaining behaviour and cognitive processing of the perception of potential hazards with the ultimate goal to improve road safety. Current findings support the a priori expectations showing that participants create predictions concerning future potential hazards. Produced predictions and the subsequent behaviour are modulated by the degree of ambiguity of hazard cues in line with Signal Detection Theory. Moreover, following Predictive Coding Theory, the predictions improve as more external input is gathered, and the mental model is updated. Complementary to behavioural results the alpha wave is used as a neural marker of hazard predictability. The results provide implications for road safety researchers and practitioners, where the inclusion of a cognitive perspective can guide the more-informed design of road infrastructure as well as in-vehicle human support systems to be more aligned with the processing mechanisms of human cognition and exploit the synergies between them.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"96 ","pages":"Article 101446"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robust incremental learning of visual concepts without catastrophic forgetting 没有灾难性遗忘的视觉概念的稳健增量学习
IF 2.4 3区 心理学
Cognitive Systems Research Pub Date : 2026-04-01 Epub Date: 2026-01-25 DOI: 10.1016/j.cogsys.2026.101447
Nicki Barari , Xin Lian , Christopher J. MacLellan
{"title":"Robust incremental learning of visual concepts without catastrophic forgetting","authors":"Nicki Barari ,&nbsp;Xin Lian ,&nbsp;Christopher J. MacLellan","doi":"10.1016/j.cogsys.2026.101447","DOIUrl":"10.1016/j.cogsys.2026.101447","url":null,"abstract":"<div><div>Continual learning poses a significant challenge in machine learning, as models often struggle to retain previously learned knowledge when exposed to new data, leading to catastrophic forgetting. In this work, we introduce <em>Cobweb/4V</em>, a novel visual classification method. This approach builds on Cobweb, a human-like learning system that is inspired by the way humans incrementally learn new concepts over time. In this research, we conduct a comprehensive evaluation showcasing Cobweb/4V’s proficiency in learning visual concepts, requiring less data to achieve effective learning outcomes compared to neural network approaches, maintaining stable performance over time, achieving competitive asymptotic behavior, and avoiding catastrophic forgetting. These characteristics align with human learning capabilities, positioning Cobweb/4V as a promising approach for sequential learning and motivating future exploration into its potential to guide the development of neural networks and other machine learning approaches that handle continual learning.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"96 ","pages":"Article 101447"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards generalization in subitizing with neuro-symbolic loss using holographic reduced representations 利用全息化简表征在神经符号丢失的拟人化中的泛化
IF 2.4 3区 心理学
Cognitive Systems Research Pub Date : 2026-04-01 Epub Date: 2026-02-03 DOI: 10.1016/j.cogsys.2026.101449
Mohammad Mahmudul Alam , Edward Raff , Tim Oates
{"title":"Towards generalization in subitizing with neuro-symbolic loss using holographic reduced representations","authors":"Mohammad Mahmudul Alam ,&nbsp;Edward Raff ,&nbsp;Tim Oates","doi":"10.1016/j.cogsys.2026.101449","DOIUrl":"10.1016/j.cogsys.2026.101449","url":null,"abstract":"<div><div>Over the past decade, deep learning has demonstrated remarkable success in computer vision tasks. However, from the perspective of Cognitive Science (CogSci), significant limitations persist. One such limitation is the ability to subitize, i.e., to rapidly and accurately enumerate a small number ( ≤ 6) of items - a skill that remains inadequately acquired by contemporary Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) when trained with standard cross-entropy (CE) loss. In this pilot study, we propose an alternative loss function leveraging Holographic Reduced Representations (HRRs), a tool widely utilized in CogSci research, to enhance the generalization of subitizing in both CNNs and ViTs. By employing controlled experiments that isolate specific aspects of subitizing generalization, we systematically analyze the impact of this neuro-symbolic learning approach. Through empirical evaluation, including saliency map analysis and out-of-distribution testing, we demonstrate that the proposed HRR-based loss function improves subitizing generalization in both CNNs and ViTs, although without fully resolving the challenge. These findings underscore the potential of the proposed neuro-symbolic loss functions in bridging the gap between deep learning and human-like perceptual abilities.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"96 ","pages":"Article 101449"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Developing a cognitively plausible model of lie-truth judgements: An adaptive lie detector account 发展一个认知上似是而非的谎言判断模型:一个适应性测谎仪的描述
IF 2.4 3区 心理学
Cognitive Systems Research Pub Date : 2026-04-01 Epub Date: 2026-01-20 DOI: 10.1016/j.cogsys.2026.101434
David Peebles , Chris N.H. Street
{"title":"Developing a cognitively plausible model of lie-truth judgements: An adaptive lie detector account","authors":"David Peebles ,&nbsp;Chris N.H. Street","doi":"10.1016/j.cogsys.2026.101434","DOIUrl":"10.1016/j.cogsys.2026.101434","url":null,"abstract":"<div><div>To date, no account of lie-truth judgement formation has been capable of explaining how core cognitive mechanisms such as memory encoding and retrieval are employed to reach such judgements. One theory, the Adaptive Lie Detector (ALIED: Street et al., 2016) is sufficiently well defined as to be implemented as a cognitively plausible computational model. Here we describe the first cognitively plausible account of lie-truth judgments and test it in three studies. Developed within the ACT-R cognitive theory (Anderson, 2007), the model provides a close fit to past data (Study 1), predicts novel learning data (Study 2), and generalises to more complex environments with multiple cues (Study 3). In so doing, the cognitive model provides strong support for the assumptions of an adaptive theory of lie-truth judgement, and substantiates a unique prediction of ALIED that lie and truth biases can be considered as functionally equivalent.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"96 ","pages":"Article 101434"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhancing persuasion with social robots: Leveraging user mood with tailored message style and orientation 通过社交机器人增强说服力:通过量身定制的消息风格和方向来利用用户情绪
IF 2.4 3区 心理学
Cognitive Systems Research Pub Date : 2026-04-01 Epub Date: 2026-01-21 DOI: 10.1016/j.cogsys.2026.101443
Eunju Yi , Do-Hyung Park
{"title":"Enhancing persuasion with social robots: Leveraging user mood with tailored message style and orientation","authors":"Eunju Yi ,&nbsp;Do-Hyung Park","doi":"10.1016/j.cogsys.2026.101443","DOIUrl":"10.1016/j.cogsys.2026.101443","url":null,"abstract":"<div><div>In the burgeoning landscape of Human-Robot Interaction (HRI), this study explores the intriguing dynamics of robot communication, robot’ speaking style (rhetorical vs. declarative message), and robot’s speaking orientation (prevention vs. promotion-oriented message) and their influence on user’s compliance and intentions in two distinct user moods. While user’s mood, and the robot’s message style and orientation individually did not show a significant effect on compliance, we found interesting interactions: users in a negative mood showed a significant inclination to comply with a robot’s rhetorical or promotion-focused messages, whereas users in a positive mood showed a significant tendency to comply with a robot’s prevention-focused messages. In addition, both declarative and rhetorical messages were acceptable to the positive mood users. The results of this research provide an opportunity to consider the importance of designing communication with technology, given that interactions with technology will occur in our everyday lives through web and mobile applications, AI chatbots, voice assistants, and potentially robots in the near future, which could have an immense impact on individual behavior, society, and life. This research provides new insights into human behavior and its relationship to mood, message style, and orientation, which opens new avenues for the development of emotionally intelligent robots, effective human-robot interaction frameworks, and mood-adaptive messaging systems. Practically, our findings underline the impact of adaptive communication, mood detection techniques, and ethical guidelines in technology design.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"96 ","pages":"Article 101443"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cognitive models of reverse engineering processes 逆向工程过程的认知模型
IF 2.4 3区 心理学
Cognitive Systems Research Pub Date : 2026-04-01 Epub Date: 2026-01-21 DOI: 10.1016/j.cogsys.2026.101444
Edward A. Cranford , Christian Lebiere , Donald Morrison , Tiffany Hyun-Jin Kim , Jocelyn Rego , Brianna Marsh , Mia Levy , Aidan Barbieux , Froylan Maldonado , Sunny Fugate , Rajan Bhattacharyya
{"title":"Cognitive models of reverse engineering processes","authors":"Edward A. Cranford ,&nbsp;Christian Lebiere ,&nbsp;Donald Morrison ,&nbsp;Tiffany Hyun-Jin Kim ,&nbsp;Jocelyn Rego ,&nbsp;Brianna Marsh ,&nbsp;Mia Levy ,&nbsp;Aidan Barbieux ,&nbsp;Froylan Maldonado ,&nbsp;Sunny Fugate ,&nbsp;Rajan Bhattacharyya","doi":"10.1016/j.cogsys.2026.101444","DOIUrl":"10.1016/j.cogsys.2026.101444","url":null,"abstract":"<div><div>Cognitive models can reproduce many aspects of human performance, including decisions, learning, and workload. Personalized models can be developed by using methodologies such as model tracing that aligns the specific model against the behavior trace of an individual human user. Those models can then be used for various applications involving human–computer interaction and teaming. This paper presents cognitive models of software reverse engineering for cybersecurity tasks such as the analysis of programs containing vulnerabilities. The models, developed using the Adaptive Control of Thought – Rational (ACT-R) cognitive architecture, are validated against human behavioral data. Quantitative measures such as cognitive load can be extracted in real time from the model’s internal representations and correlated with workload measures computed from neurophysiological sensors. Those measures can be used for a variety of purposes including facilitating teaming across different levels of expertise and serving as the basis for providing recommendations that guide users toward more productive activities. The results highlight the utility of the cognitive model in assisting users performing software reverse engineering tasks and for providing insight into the user’s ongoing mental states via cognitive load measures.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"96 ","pages":"Article 101444"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Systematic guidelines for extending the appraisal process in computational models of emotion 在情感计算模型中扩展评估过程的系统指南
IF 2.4 3区 心理学
Cognitive Systems Research Pub Date : 2026-04-01 Epub Date: 2026-01-16 DOI: 10.1016/j.cogsys.2026.101442
Sergio Castellanos, Enrique Osuna Cuen, Elsa L. Padilla, Luis-Felipe Rodríguez
{"title":"Systematic guidelines for extending the appraisal process in computational models of emotion","authors":"Sergio Castellanos,&nbsp;Enrique Osuna Cuen,&nbsp;Elsa L. Padilla,&nbsp;Luis-Felipe Rodríguez","doi":"10.1016/j.cogsys.2026.101442","DOIUrl":"10.1016/j.cogsys.2026.101442","url":null,"abstract":"<div><div>Influencing factors (IFs) are internal and external elements that modulate the appraisal process and profoundly shape how Appraisal-based Computational Models of Emotion (ACMEs) evaluate emotional stimuli. However, most ACME implementations either omit common IFs (e.g., personality traits, transient moods, cognitive states, and social or cultural norms), incorporate them using ad-hoc strategies, or lack a consistent methodology. To address this gap, we introduce a set of Systematic Guidelines named ACME-IFSG (Appraisal-based Computational Models of Emotion - Influencing Factor Systematic Guidelines). ACME-IFSG is designed to i) formalize IFs using theory-driven constructs and empirical indicators; ii) implement the IF as an autonomous Modulator component; iii) integrate this component through explicit data contracts; and iv) validate system-level coherence. A proof of concept, which follows every phase, stage, and activity outlined in the ACME-IFSG, illustrates how the IF <em>cognitive fatigue</em> can be modeled without modifying the core appraisal mechanisms of ACMEs. This implementation demonstrates how the ACME-IFSG approach enables the systematic incorporation of a complex, cross-disciplinary IF while ensuring theoretical grounding and systematic integration throughout the emotion modeling process.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"96 ","pages":"Article 101442"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146025766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bioinspired affective system for the generation of basic emotional behaviors in cybernetic entities 在控制论实体中产生基本情感行为的生物启发情感系统
IF 2.4 3区 心理学
Cognitive Systems Research Pub Date : 2026-04-01 Epub Date: 2026-02-06 DOI: 10.1016/j.cogsys.2026.101450
Jonathan-Hernando Rosales , Luis-Felipe Rodríguez , Felix Ramos
{"title":"Bioinspired affective system for the generation of basic emotional behaviors in cybernetic entities","authors":"Jonathan-Hernando Rosales ,&nbsp;Luis-Felipe Rodríguez ,&nbsp;Felix Ramos","doi":"10.1016/j.cogsys.2026.101450","DOIUrl":"10.1016/j.cogsys.2026.101450","url":null,"abstract":"<div><div>For the development of applications such as human-machine interfaces and video games, among many others, it has become necessary to provide cybernetic entities with behaviours similar to those of human beings. One of the most deeply rooted processes in living beings is undoubtedly the emotional process. Creating systems capable of perceiving and expressing emotional responses is important for improving communication with biological counterparts, among other reasons. In this article, we examine the emotional process from psychological and neuroscientific standpoints. First, we describe the components that make up an emotional response, then we review the existing classifications of emotional behaviours in the literature. We will then deepen our research into the emotional process and how it is generated within the human brain. Based on these processes as well as the relationships between them and other cognitive functions, we propose a bio-inspired model for generating reactive emotional responses associated with basic emotions. To validate our proposal, we endow a virtual creature with our proposal and analyze its behavior within a controlled virtual environment to conclude.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"96 ","pages":"Article 101450"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Representativity and univocity of traffic signs and their effect on trajectory movement in a driving-simulation task: regulatory signs 交通标志的代表性和唯一性及其对驾驶模拟任务中轨迹运动的影响:管制标志
IF 2.4 3区 心理学
Cognitive Systems Research Pub Date : 2026-04-01 Epub Date: 2026-01-16 DOI: 10.1016/j.cogsys.2026.101435
Jose Luis Vilchez Tornero
{"title":"Representativity and univocity of traffic signs and their effect on trajectory movement in a driving-simulation task: regulatory signs","authors":"Jose Luis Vilchez Tornero","doi":"10.1016/j.cogsys.2026.101435","DOIUrl":"10.1016/j.cogsys.2026.101435","url":null,"abstract":"<div><div>Purpose: There is a need to understand how the perception of, attention to and reason with traffic signs influence on driving behavior. The more we know about drivers‘ cognitive processing of them, the better for their response time to those signs and for the decision they take. In previous works, we have shown that the signs that are not-well designed provoke counterproductive effects on movement. Design/methodology/approach: In the present study, regulatory traffic signs in Ecuador are classified by using the criteria of their representativity, their univocity and the numbers of errors participants make when responding to them. Findings: With these criteria, we can detect which traffic signs need to be redesigned. Research limitations/implications: The consequences of traffic accidents are enough important to take this study seriously. In this sense, research must also take a step forward to real-driving contexts in order to reach more ecological conclusions. Practical implications:</div><div>This work contributes to the improvement of traffic safety. Originality/value: I develop a new methodology to classify traffic signs from a cognitive Science point of view.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"96 ","pages":"Article 101435"},"PeriodicalIF":2.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145996322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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