Computers in Human Behavior最新文献_第4页

Mapping the symptom structure of internet gaming disorder among adolescents: Insights from network and Bayesian graph analyses 描绘青少年网络游戏障碍的症状结构：来自网络和贝叶斯图分析的见解

IF 8.9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior

Pub Date : 2026-04-01 Epub Date: 2025-12-05 DOI: 10.1016/j.chb.2025.108890

Firoj Al-Mamun , Moneerah Mohammad ALmerab , Mohammed A. Mamun

Internet Gaming Disorder (IGD) has become an emerging public health concern among adolescents, particularly in low-resource setting. Despite growing international interest, little is known about how IGD symptoms interact and reinforce one another in these contexts. This study aimed to elucidate the symptom structure of IGD among Bangladeshi adolescents. Specifically, to (i) estimate the undirected network structure of IGD symptoms, (ii) identify central and predictable symptoms, (iii) examine gender-based differences in network structure, and (iv) explore directional symptom pathways using Bayesian Directed Acyclic Graphs (DAGs). A cross-sectional survey was conducted among 1030 secondary school students in northern Bangladesh. Data were collected using the nine-item Internet Gaming Disorder Scale–Short Form (IGDS9-SF), while both regularized partial correlation networks and DAGs were estimated to examine symptom associations and potential directional pathways. Subgroup comparisons by gender were conducted using the Network Comparison Test (NCT). The undirected network revealed strong conditional associations among core IGD symptoms, particularly between Preoccupation, Tolerance, and Withdrawal. Centrality analyses identified Give Up Activities, Withdrawal, and Preoccupation as the most structurally important symptoms, and predictability estimates indicated strong local symptom connectivity. The NCT showed no significant differences in network structure or global strength between males and females. DAG analysis highlighted Withdrawal as a likely initiating symptom, with strong probable directional paths toward Tolerance, Loss of Control, and Continued Use. These findings provide symptom-level insights into IGD's psychopathological structure and offer guidance for targeted, school-based mental health interventions in resource-constrained settings.

网络游戏障碍（IGD）已成为青少年中一个新兴的公共卫生问题，特别是在资源匮乏的环境中。尽管国际上的兴趣越来越大，但对于这些情况下IGD症状如何相互作用和相互加强知之甚少。本研究旨在阐明孟加拉国青少年IGD的症状结构。具体来说，要(i)估计IGD症状的无向网络结构，（ii）识别中心和可预测的症状，（iii）检查网络结构中基于性别的差异，以及（iv）使用贝叶斯有向无环图（dag）探索定向症状途径。对孟加拉国北部1030名中学生进行了横断面调查。数据使用9项网络游戏障碍量表（IGDS9-SF）收集，同时估计正则化部分相关网络和dag来检查症状关联和潜在的定向途径。使用网络比较测试（NCT）按性别进行亚组比较。无定向网络揭示了核心IGD症状之间强烈的条件关联，特别是在专注、耐受性和戒断之间。中心性分析确定了放弃活动、戒断和专注是结构上最重要的症状，可预测性估计表明了很强的局部症状连通性。NCT显示男性和女性在网络结构和整体强度上没有显著差异。DAG分析强调了戒断可能是一种初始症状，有很强的可能的方向路径，导致耐受性，失去控制，并继续使用。这些发现为IGD的精神病理结构提供了症状层面的见解，并为资源受限环境下有针对性的、以学校为基础的心理健康干预提供了指导。

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引用次数: 0

From facial expressions to academic performance: Affective computing reveals the serial mediating roles of emotional valence and self-regulated learning 从面部表情到学习成绩：情感计算揭示了情绪效价与自我调节学习的一系列中介作用

IF 8.9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior

Pub Date : 2026-04-01 Epub Date: 2025-12-30 DOI: 10.1016/j.chb.2025.108902

Ruchang Miao , Peijia Yang , Shuna Li , Kaizhen Kong , Xiangting Wang

The rapid advancement of technology in education has drawn increased scholarly attention to the role of affective factors in student development. Although prior research has primarily examined the relationship between affective strategies and academic achievement, limited attention has been paid to the dynamic quantification of affective processes and their underlying mechanisms. This study employed affective computing technology to analyze students’ facial expressions, captured by live classroom cameras, on a frame-by-frame basis. The analysis quantified temporal fluctuations in emotional valence and examined the distribution patterns of positive, neutral, and negative emotions during classroom learning. Participants were 183 college students who were recorded during class and completed a questionnaire. The results revealed significant positive correlations among affective strategies, emotional valence, self-regulated learning (SRL), and academic performance. Furthermore, chain mediation analysis demonstrated that affective strategies predicted academic performance only indirectly through the serial mediation of emotional valence and SRL, with no significant direct effect being observed. Notably, emotional valence did not exhibit an independent mediating effect, underscoring its role as part of a sequential psychological mechanism rather than a standalone pathway.By extending the application of Achievement Emotions Theory (AET) to the context of Ideological and Political Theory Courses, this study addresses several limitations inherent in traditional self-report methods through the use of affective computing. The findings provide preliminary empirical support for designing personalized interventions in these specific courses and highlight the potential of affective computing to advance the development of intelligent educational technologies.

教育技术的快速发展引起了学术界对情感因素在学生发展中的作用的越来越多的关注。虽然以往的研究主要关注情感策略与学业成绩之间的关系，但对情感过程的动态量化及其潜在机制的关注有限。本研究采用情感计算技术分析学生的面部表情，这些表情由现场教室摄像机逐帧捕捉。该分析量化了情绪效价的时间波动，并考察了课堂学习中积极、中性和消极情绪的分布模式。参与者是183名大学生，他们在课堂上被录音并完成了一份调查问卷。结果显示，情感策略、情绪效价、自我调节学习与学业成绩呈显著正相关。此外，链式中介分析表明，情感策略对学业成绩的影响仅通过情绪效价和学业表现的串联中介间接存在，没有显著的直接影响。值得注意的是，情绪效价没有表现出独立的中介作用，强调其作为顺序心理机制的一部分，而不是一个独立的途径。通过将成就情绪理论（AET）的应用扩展到思想政治理论课的背景下，本研究通过使用情感计算解决了传统自我报告方法固有的几个局限性。研究结果为在这些特定课程中设计个性化干预提供了初步的实证支持，并强调了情感计算促进智能教育技术发展的潜力。

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引用次数: 0

Bridging or broadening Gaps? AI-Assisted professional writing among native and non-native English Writers 缩小还是扩大差距？人工智能辅助专业写作的母语和非母语的英语作家

IF 8.9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior

Pub Date : 2026-04-01 Epub Date: 2025-12-23 DOI: 10.1016/j.chb.2025.108897

Inyoung Shin , Hyesun Choung , Mina Choi

This study examines how AI influences existing differences in professional writing between native and non-native English writers (NEWs and NNEWs) in the United States, reflecting individuals’ task-related proficiency and language-based social positioning. We compare how these two groups integrate AI-generated content into their writing and include writing self-efficacy as a moderator to examine whether perceived task proficiency shapes the differences in AI use between the two groups. We also test an underlying social-psychological mechanism by examining the mediating role of perceived superiority: the extent to which participants judged the AI-generated text as better than their own writing. In an online experiment, 327 NEWs and NNEWs were recruited to write a job application cover letter for a hypothetical scenario. Participants were randomly assigned to receive AI-generated content written at either a simple or advanced lexical level and were asked to revise their letter as they chose, potentially incorporating the AI-generated content. Using natural language processing techniques, we measured the extent to which participants integrated AI-generated content. Findings show that NNEWs favored simpler content, while NEWs tended to incorporate advanced content. This difference was pronounced among those with lower writing self-efficacy. However, the perceived superiority of AI-generated text did not explain this pattern. These findings show that while AI can support lower-skilled groups in specific tasks, sociolinguistic gaps still remain even with AI-assistance. We conclude by calling for AI training frameworks that scaffold learning to address both proficiency gaps and social constraints.

本研究考察了人工智能如何影响美国母语和非母语英语作家（NEWs和NNEWs）在专业写作方面存在的差异，反映了个人的任务相关熟练程度和基于语言的社会定位。我们比较了这两组人如何将人工智能生成的内容整合到他们的写作中，并将写作自我效能作为调节因素，以检验感知任务熟练程度是否影响了两组人在人工智能使用方面的差异。我们还通过检查感知优势的中介作用来测试潜在的社会心理机制：参与者判断人工智能生成的文本比他们自己写的更好的程度。在一项在线实验中，327家新闻和NNEWs被招募来为一个假设的场景写求职信。参与者被随机分配接收人工智能生成的内容，这些内容要么是简单的，要么是高级的词汇水平，并被要求随意修改他们的信件，可能会融入人工智能生成的内容。使用自然语言处理技术，我们测量了参与者整合人工智能生成内容的程度。调查结果显示，NNEWs更喜欢简单的内容，而NEWs则倾向于包含高级内容。这种差异在写作自我效能较低的人身上表现得尤为明显。然而，人工智能生成文本的感知优势并不能解释这种模式。这些发现表明，虽然人工智能可以在特定任务中支持低技能群体，但即使有人工智能的帮助，社会语言差距仍然存在。最后，我们呼吁建立人工智能培训框架，支持学习，以解决熟练程度差距和社会约束。

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引用次数: 0

Personalizing explanations in AI-based decisions: The effects of personalization and (mis)aligning with individual preferences 基于人工智能的决策中的个性化解释：个性化和（错误地）与个人偏好一致的影响

IF 8.9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior

Pub Date : 2026-04-01 Epub Date: 2025-11-19 DOI: 10.1016/j.chb.2025.108854

Richard Uth , Nelli Niemitz , Isabel Valera , Markus Langer

The increasing reliance on AI-based decision-making in high-stakes contexts underscores the need for transparency and justice. Here, negative outcomes drive individuals affected by AI-based decisions to seek actionable explanations that enable them to realize what they can do to achieve a better future outcome. However, actionability is subjective, varying across individuals and contexts. Personalization of explanations has been proposed to address this variability, but insights on personalized explanation processes, their potential, and challenges are scarce. This paper investigates the impact of personalization and (mis)alignment with individual needs and preferences in explanations for AI-based decisions through an experimental online study simulating denied loan applications. In a within-participants design (N

=

255), participants ranked the actionability of decision-relevant features and experienced five explanation conditions: personalized directive explanations based on the most, second most, or least actionable feature (as ranked by participants); a non-personalized directive explanation highlighting a random feature; and no explanation. In line with justice theory, our results show that any explanation was better than none, and that personalized explanations led to more favorable reactions than non-personalized explanations, enhancing perceptions of justice and attractiveness of the bank. Closer alignment with preferences had only small positive effects, mainly for attractiveness. These findings highlight that even simple ranking-based approaches can make explanations more effective and accessible without requiring technical expertise while cautioning against offering superficial control. This study provides insights into the effects of ranking-based personalization, informing the design of explainability tailored to diverse user needs and addressing ethical and practical considerations in personalization.

在高风险环境中越来越依赖基于人工智能的决策，凸显了透明度和正义的必要性。在这里，负面结果会促使受人工智能决策影响的个人寻求可行的解释，使他们意识到自己可以做些什么来实现更好的未来结果。然而，可操作性是主观的，因个人和环境而异。解释的个性化已经被提出来解决这种可变性，但是对个性化解释过程、它们的潜力和挑战的见解很少。本文通过一项模拟贷款申请被拒的实验性在线研究，研究了个性化和（错误地）与个人需求和偏好在解释基于人工智能的决策时的影响。在参与者内部设计（N = 255）中，参与者对决策相关特征的可操作性进行排名，并经历五种解释条件：基于最具可操作性、第二具可操作性或最不具可操作性特征的个性化指令解释（根据参与者的排名）；强调随机特征的非个性化指令解释；也没有解释。与公平理论一致，我们的研究结果表明，任何解释都比没有解释好，个性化解释比非个性化解释导致更有利的反应，增强了对银行的公平和吸引力的感知。与偏好更紧密的联系只有很小的积极影响，主要是对吸引力的影响。这些发现强调，即使是简单的基于排名的方法也可以使解释更有效，更容易理解，而不需要技术专长，同时警告不要提供肤浅的控制。本研究提供了基于排名的个性化效果的见解，为针对不同用户需求量身定制的可解释性设计提供了信息，并解决了个性化中的道德和实际考虑因素。

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引用次数: 0

Association between school phone restriction policies and adolescents’ cyberbullying, gambling, and substance use behaviors 学校电话限制政策与青少年网络欺凌、赌博和物质使用行为的关系

IF 8.9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior

Pub Date : 2026-04-01 Epub Date: 2025-12-26 DOI: 10.1016/j.chb.2025.108898

Szu-Chia Chen , Tzu-Fu Huang , Kevin Chang , Fong-Ching Chang , Shawn C. Chiang , Chiung-Hui Chiu , Ping-Hung Chen , Nae-Fang Miao , Hung-Yi Chuang

Background

Adolescents are increasingly exposed to online risks in the digital era, yet few studies have examined how school phone restriction policies relate to these risks. This study aimed to investigate the association between school phone restriction policies and adolescents’ online risk exposure and engagement in online risk behaviors, including cyberbullying, online gambling, and substance use.

Methods

A cross-sectional survey was conducted in 2022 among 3158 high school students from 35 schools in Taiwan. Students reported their perceptions of school phone restriction policies, online risk exposure, and engagement in risk behaviors. Generalized estimating equation (GEE) models were used to examine these relationships.

Results

Compared with students who reported that their schools had phone restriction policies, those who perceived their schools as lacking such policies reported greater online risk exposure (i.e., longer smartphone use time, more frequent risky loot box engagement, and greater online marketing exposure) and higher rates of risk behaviors (i.e., cyberbullying, online gambling, and alcohol and tobacco use). GEE multivariate analyses indicated that perceiving schools as having no phone restriction policies was significantly associated with greater online risk exposure. Furthermore, students who perceived an absence of phone restriction policies and reported higher online risk exposure were more likely to engage in risk behaviors.

Conclusion

School phone restriction policies may serve as a protective factor by reducing adolescents’ online risk exposure and limiting their involvement in cyberbullying, online gambling, and substance use.

在数字时代，青少年越来越多地面临在线风险，但很少有研究调查学校电话限制政策与这些风险之间的关系。本研究旨在探讨学校电话限制政策与青少年网络风险暴露和参与网络风险行为（包括网络欺凌、网络赌博和物质使用）之间的关系。方法于2022年对台湾省35所学校的3158名高中生进行横断面调查。学生报告了他们对学校电话限制政策、网络风险暴露和参与风险行为的看法。使用广义估计方程（GEE）模型来检验这些关系。结果：与报告学校有手机限制政策的学生相比，那些认为学校缺乏此类政策的学生报告了更大的在线风险暴露（即，更长的智能手机使用时间，更频繁的冒险loot box参与，更大的在线营销曝光）和更高的风险行为率（即网络欺凌，在线赌博，酒精和烟草使用）。GEE多变量分析表明，认为学校没有手机限制政策与更大的在线风险暴露显着相关。此外，认为缺乏手机限制政策并报告较高网络风险暴露的学生更有可能从事危险行为。结论学校手机限制政策可以降低青少年网络风险暴露，限制其参与网络欺凌、网络赌博和物质使用。

{"title":"Association between school phone restriction policies and adolescents’ cyberbullying, gambling, and substance use behaviors","authors":"Szu-Chia Chen , Tzu-Fu Huang , Kevin Chang , Fong-Ching Chang , Shawn C. Chiang , Chiung-Hui Chiu , Ping-Hung Chen , Nae-Fang Miao , Hung-Yi Chuang","doi":"10.1016/j.chb.2025.108898","DOIUrl":"10.1016/j.chb.2025.108898","url":null,"abstract":"<div><h3>Background</h3><div>Adolescents are increasingly exposed to online risks in the digital era, yet few studies have examined how school phone restriction policies relate to these risks. This study aimed to investigate the association between school phone restriction policies and adolescents’ online risk exposure and engagement in online risk behaviors, including cyberbullying, online gambling, and substance use.</div></div><div><h3>Methods</h3><div>A cross-sectional survey was conducted in 2022 among 3158 high school students from 35 schools in Taiwan. Students reported their perceptions of school phone restriction policies, online risk exposure, and engagement in risk behaviors. Generalized estimating equation (GEE) models were used to examine these relationships.</div></div><div><h3>Results</h3><div>Compared with students who reported that their schools had phone restriction policies, those who perceived their schools as lacking such policies reported greater online risk exposure (i.e., longer smartphone use time, more frequent risky loot box engagement, and greater online marketing exposure) and higher rates of risk behaviors (i.e., cyberbullying, online gambling, and alcohol and tobacco use). GEE multivariate analyses indicated that perceiving schools as having no phone restriction policies was significantly associated with greater online risk exposure. Furthermore, students who perceived an absence of phone restriction policies and reported higher online risk exposure were more likely to engage in risk behaviors.</div></div><div><h3>Conclusion</h3><div>School phone restriction policies may serve as a protective factor by reducing adolescents’ online risk exposure and limiting their involvement in cyberbullying, online gambling, and substance use.</div></div>","PeriodicalId":48471,"journal":{"name":"Computers in Human Behavior","volume":"177 ","pages":"Article 108898"},"PeriodicalIF":8.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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

Choose to think: Nudging towards privacy informed decisions at the app download stage 选择思考：在应用下载阶段对隐私做出明智的决定

IF 8.9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior

Pub Date : 2026-04-01 Epub Date: 2025-12-19 DOI: 10.1016/j.chb.2025.108895

Jennifer Klütsch , Verena Zimmermann , Sabine J. Schlittmeier

Downloading apps can pose significant privacy risks to users. While users are aware that their data is privacy-sensitive, they often do not read the privacy information provided. To support informed privacy decisions at the app download stage, we evaluated a two-stage nudge intervention in our scenario-based online study with 209 German-speaking Clickworker participants. In Stage 1, we examined whether nudges (color, reminder, social minority, social majority), compared to a control condition, can increase users’ engagement with privacy information in the app store. Once they have decided to engage, we examined how the recommendation of friends (vs. the app store) and the privacy rating (low vs. high) of a hybrid nudge with additional privacy information affected the subsequent download decision in Stage 2. Due to almost perfect separation in Stage 2, Bayesian logistic regressions were conducted. Our results found no evidence that any particular type of nudge increased the likelihood of users to engage with privacy information in Stage 1. Yet, all nudges, including the control condition, led high percentages of participants to click more about data protection (between 48.81% and 64.13%), with the subsequent privacy information in Stage 2 being considered a particularly important decision criterion for them. A “mere-exposure” and “foot-in-the-door” effect in our two-stage approach are discussed as possible explanations. Based on our findings, we derive recommendations for the design of privacy nudges that can be implemented by the app store or personal privacy assistants to promote informed privacy decisions.

下载应用程序可能会给用户带来重大的隐私风险。虽然用户知道他们的数据是隐私敏感的，但他们通常不会阅读所提供的隐私信息。为了在应用下载阶段支持知情的隐私决策，我们在基于场景的在线研究中评估了两阶段的助推干预，研究对象是209名讲德语的Clickworker参与者。在第一阶段，我们检验了与控制条件相比，轻推（游戏邦注：如颜色、提醒、社交少数派、社交多数）是否能够提高用户对应用商店隐私信息的参与度。一旦他们决定参与其中，我们便会在第二阶段检查好友推荐（相对于应用商店）以及带有额外隐私信息的混合推动的隐私评级（低与高）是如何影响随后的下载决定的。由于阶段2几乎完全分离，因此进行了贝叶斯逻辑回归。我们的研究结果没有发现任何证据表明，在第一阶段，任何特定类型的轻推都会增加用户参与隐私信息的可能性。然而，所有的推动，包括控制条件，导致高百分比的参与者点击更多关于数据保护（48.81%至64.13%），在第二阶段的后续隐私信息被认为是一个特别重要的决策标准。在我们的两阶段方法中，“仅仅暴露”和“脚踏实地”效应作为可能的解释进行了讨论。根据我们的研究结果，我们得出了隐私推动设计的建议，这些建议可以由应用商店或个人隐私助理实施，以促进知情的隐私决策。

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引用次数: 0

Does transparency matter when an AI system meets performance expectations? An experiment with an online dating site 当人工智能系统达到性能预期时，透明度是否重要？一个在线约会网站的实验

IF 8.9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior

Pub Date : 2026-04-01 Epub Date: 2025-11-23 DOI: 10.1016/j.chb.2025.108875

Yuan Sun , Mengqi (Maggie) Liao , S. Shyam Sundar , Joseph B. Walther

Powered by sophisticated algorithms, artificial intelligence (AI) systems are notorious for being opaque, prompting demands for more algorithmic transparency. However, empirical evidence reveals inconsistent effects of transparency on user trust, suggesting critical boundary conditions. Drawing on the Expectation Confirmation Model and Heuristic-Systematic Model, we propose that the effectiveness of providing algorithmic transparency depends on whether the AI system’s performance meets, exceeds, or falls short of users’ expectations. We tested this through a 3 (Algorithmic transparency: high vs. low vs. absent) × 3 (Expectation confirmation: positive vs. simple vs. negative) between-subjects online experiment (N = 227), in which participants interacted with an online dating site driven by date-matching algorithms. Results revealed that detailed algorithmic explanations enhanced perceived understanding and trust when system performance either exceeded or fell short of expectations, while concise explanations proved more effective when performance met expectations. These findings advance our theoretical understanding of algorithmic transparency and provide practical implications for designing adaptive explainable AI systems that adjust transparency levels based on performance outcomes.

人工智能（AI）系统由复杂的算法驱动，因不透明而臭名昭著，这促使人们要求提高算法的透明度。然而，经验证据显示透明度对用户信任的影响不一致，这表明了关键的边界条件。根据期望确认模型和启发式系统模型，我们提出提供算法透明度的有效性取决于人工智能系统的性能是否满足、超过或低于用户的期望。我们通过3（算法透明度：高、低、缺席）× 3（期望确认：积极、简单、消极）受试者之间的在线实验（N = 227）来验证这一点，在该实验中，参与者与一个由日期匹配算法驱动的在线约会网站进行互动。结果显示，当系统性能超过或低于预期时，详细的算法解释增强了感知的理解和信任，而当性能达到预期时，简明的解释证明更有效。这些发现促进了我们对算法透明度的理论理解，并为设计基于性能结果调整透明度水平的自适应可解释人工智能系统提供了实际意义。

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引用次数: 0

To share or not to share, that is the (moral) question: How moral frames and bystander cues shape health misinformation correction sharing on social media 分享还是不分享，这是一个（道德）问题：道德框架和旁观者线索如何影响社交媒体上的健康错误信息纠正分享

IF 8.9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior

Pub Date : 2026-04-01 Epub Date: 2025-12-27 DOI: 10.1016/j.chb.2025.108900

Yujie Dong , Wu Li

Moral judgments can play a strong and intrinsic role in guiding correction-sharing decisions. Drawing on the Moral Foundation Theory and the Model of Intuitive Morality and Exemplars, this study examines how moral frames appealing to the care/harm and purity/pollution foundations, along with social media metrics representing proactive bystander cues, influence individuals’ health misinformation correction sharing behaviors on social media, through the mediating roles of personal norms and two moral emotions (i.e., anticipated pride and guilt). A pilot study (N = 96) and a formal experiment (N = 447) were conducted. The findings indicate that both moral frames generally enhanced individuals’ intentions to share corrective information by activating personal norms; however, the magnitude of this effect varied across health topics and levels of social media metrics. Specifically, the care/harm frame demonstrated greater effectiveness in the context of H. pylori infection, independent of social media metrics, whereas the purity/pollution frame elicited stronger responses in the context of secondhand smoke exposure, but only under conditions of high social media metrics. Among the predictors of correction-sharing intention, personal norms emerged as the strongest, followed by anticipated pride, while anticipated guilt did not have a significant effect. Theoretically, the findings advance our understanding of moral appeals and moral judgments in digital health communication. The cognitive component of moral judgements and associated affective components are disentangled. Practically, the findings offer valuable guidance for designing more effective health campaign messages on social media, tailored to resonate with diverse moral foundations and health topics.

道德判断可以在指导分担纠正决策方面发挥强大而内在的作用。借鉴道德基础理论和直觉道德与典范模型，本研究探讨了道德框架如何吸引关心/伤害和纯洁/污染基础，以及代表主动旁观者线索的社交媒体指标，通过个人规范和两种道德情绪（即预期的骄傲和内疚）的中介作用，影响个人在社交媒体上的健康错误信息纠正分享行为。进行了一项初步研究（N = 96）和一项正式实验（N = 447）。研究结果表明，两种道德框架都通过激活个人规范而增强了个体分享纠正信息的意愿；然而，这种影响的程度因健康主题和社交媒体指标的水平而异。具体而言，护理/伤害框架在幽门螺杆菌感染的背景下表现出更大的有效性，独立于社交媒体指标，而纯度/污染框架在二手烟暴露的背景下引发了更强的反应，但仅在高社交媒体指标的条件下。在矫正分享意向的预测因子中，个人规范是最强的，其次是预期的骄傲，而预期的内疚没有显著的影响。从理论上讲，这些发现促进了我们对数字健康传播中的道德诉求和道德判断的理解。道德判断的认知成分和相关的情感成分被解开。实际上，这些发现为在社交媒体上设计更有效的健康宣传信息提供了有价值的指导，这些信息可以与各种道德基础和健康主题产生共鸣。

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引用次数: 0

Game on or gone too far? Executive functioning and implicit sequence learning in problematic vs. recreational gamers 游戏开始了还是走得太远了？问题型和休闲型玩家的执行功能和内隐序列学习

IF 8.9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior

Pub Date : 2026-04-01 Epub Date: 2025-12-03 DOI: 10.1016/j.chb.2025.108878

Krisztina Berta , Zsuzsanna Viktória Pesthy , Teodóra Vékony , Bence Csaba Farkas , Orsolya Király , Zsolt Demetrovics , Dezső Németh , Bernadette Kun

Video gaming often sparks controversy, though negative effects are mainly linked to gaming disorder, not gaming itself. Research shows that gaming disorder correlates with reduced executive functioning and greater reliance on habitual processes, while recreational gaming may relate to enhanced cognitive functions. However, comprehensive comparisons of cognitive profiles across gaming behaviors remain scarce. We aimed to compare the cognitive functioning of non-gamers (NG), recreational gamers (RG), and gaming disorder risk individuals (GDR). Based on the Ten-Item Internet Gaming Disorder Test scores, 114 participants were classified into these three groups. Executive functions were assessed with the Go/No-Go, Counting Span, Digit Span, Card Sorting, 1-back, and 2-back tasks; implicit sequence learning with the Alternating Serial Reaction Time task. Group effects were adjusted for weekly gaming time. The GDR group showed reduced working memory, performing worse on the Digit Span task than the NG group, and worse on the Counting Span task than both NG and RG groups. Conversely, the RG group displayed enhanced attention-related performance compared to the NG group. No group differences emerged in implicit sequence learning. Interaction analyses revealed a negative relationship between implicit sequence learning and inhibitory control/updating across groups, while a positive link between working memory and implicit sequence learning in NG and GDR groups suggests possible compensatory mechanisms. This study underscores that cognitive impairments are linked to gaming disorder rather than gaming time itself, while recreational gaming may offer cognitive benefits. These findings provide insights into the distinct cognitive profiles of recreational gaming and gaming disorder.

电子游戏经常引发争议，尽管负面影响主要与游戏障碍有关，而不是游戏本身。研究表明，游戏障碍与执行功能下降和对习惯过程的更多依赖有关，而休闲游戏可能与增强认知功能有关。然而，对于不同游戏行为的认知特征的综合比较仍然很少。我们的目的是比较非游戏玩家（NG）、休闲游戏玩家（RG）和游戏障碍风险个体（GDR）的认知功能。根据十项网络游戏障碍测试分数，114名参与者被分为这三组。执行功能通过Go/No-Go、计数广度、数字广度、卡片分类、1-back和2-back任务进行评估；交替序列反应时间任务的内隐序列学习。小组效应根据每周游戏时间进行调整。GDR组表现出工作记忆减少，在数字跨度任务上的表现比NG组差，在计数跨度任务上的表现比NG组和RG组都差。相反，与NG组相比，RG组表现出更强的注意力相关表现。内隐序列学习不存在组间差异。相互作用分析表明，内隐序列学习与抑制控制/更新之间存在负相关关系，而工作记忆与内隐序列学习在NG和GDR组之间存在正相关关系，表明可能存在代偿机制。这项研究强调，认知障碍与游戏障碍有关，而不是与游戏时间本身有关，而娱乐性游戏可能对认知有好处。这些发现为休闲游戏和游戏障碍的不同认知特征提供了见解。

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引用次数: 0

Risk profiles for the perpetration of non-consensual sharing of sexual content among Spanish adolescents: a cross-sectional and longitudinal study 西班牙青少年非自愿分享性内容的风险概况：一项横断面和纵向研究

IF 8.9 1区心理学 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in Human Behavior

Pub Date : 2026-04-01 Epub Date: 2025-12-10 DOI: 10.1016/j.chb.2025.108889

Estrella Durán-Guerrero, Virginia Sánchez-Jiménez, Noelia Muñoz-Fernández

Non-consensual sharing of sexual content (NCS) represents a growing form of online sexual harassment, with significant prevalence among adolescents. This study examines, through a person-centered approach, the sociocognitive, emotional, and behavioral factors associated with NCS perpetration cross-sectionally and longitudinally. A total of 509 Spanish adolescents (49.5 % girls, average age = 14.98) participated at two time points: at baseline and six months later. At baseline, three risk profiles were identified: the “adjusted” profile (n = 433, 85 %): characterized by low levels of pro-sexual harassment attitudes and online sexual harassment perpetration, and high levels of emotions of moral responsibility; the “morally responsible, but aggressive” profile (n = 61, 12 %) characterized by moderate levels of pro-sexual harassment attitudes and emotions of moral responsibility, and moderate-high levels of online sexual harassment perpetration; and the “unemotional and aggressive” profile (n = 15, 3 %) characterized by moderate levels of pro-sexual harassment attitudes, high levels of online sexual harassment perpetration, and low levels of emotions of moral responsibility. Controlling for gender and age, belonging to the “morally responsible, but aggressive” and “unemotional and aggressive” profiles were associated with higher levels of NCS perpetration cross-sectionally (R² = 0.257) and longitudinally (R² = 0.171). Adolescents (mainly boys) who were involved in online sexual harassment behaviors, justifying them, and failing to feel any guilt in response to situations of this kind, were more likely to engage in NCS. The findings and practical implications are discussed.

未经同意分享性内容（NCS）是一种日益增长的网络性骚扰形式，在青少年中尤为普遍。本研究通过以人为本的方法，横断面和纵向研究了与NCS犯罪相关的社会认知、情感和行为因素。共有509名西班牙青少年（49.5%为女孩，平均年龄为14.98岁）在基线和6个月后两个时间点参与了研究。在基线上，确定了三种风险概况：“调整”概况（n = 433, 85%）：其特点是支持性骚扰的态度和网络性骚扰行为水平较低，道德责任情绪水平较高；“有道德责任，但有攻击性”的群体（n = 61,12 %），其特征是支持性骚扰的态度和道德责任情绪处于中等水平，网络性骚扰的实施处于中高水平；“非情绪化和攻击性”组（n = 15.3%）的特征是支持性骚扰的态度水平中等，网络性骚扰行为水平较高，道德责任情绪水平较低。在性别和年龄的控制下，属于“道德上负责，但有攻击性”和“不情绪化和有攻击性”的人在横断面上（R2 = 0.257）和纵向上（R2 = 0.171）与较高的NCS犯罪水平相关。青少年（主要是男孩）参与网络性骚扰行为，为其辩护，并且在这种情况下没有感到任何内疚，更有可能参与NCS。讨论了研究结果和实际意义。

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