Cyberpsychology, behavior and social networking最新文献_第3页

Introspecta VR: The Use of Virtual Reality and Artificial Intelligence for Self-Understanding, Future Self-Identification, and Personal Transformation. 自省VR：虚拟现实和人工智能在自我理解、未来自我认同和个人转变中的应用。

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-20 DOI: 10.1089/cyber.2025.0172

Lorenzo Antichi,Lorenzo Baglìo,Chiara Rossi,Giuseppe Riva

引用次数: 0

Exploring Brain Activation as a Predictor of Intention to Use Cognitive Training Digital Therapeutics: A Functional Near-Infrared Spectroscopy Study. 探索脑激活作为使用认知训练数字疗法的意向预测因子：一项功能性近红外光谱研究。

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-19 DOI: 10.1089/cyber.2025.0026

Soowon Park,Yeeun Byeon,Jung-In Lim,Hyeonjin Kim,Jun-Young Lee

引用次数: 0

Personality Traits that Predispose or Protect in Smartphone Addiction and Their Implications for Intervention: A Narrative Review. 智能手机成瘾的人格特质倾向或保护及其干预意义：一项叙述性回顾。

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-19 DOI: 10.1089/cyber.2024.0444

Nisha John,Maya Sahu,Manoj Kumar Sharma,Pratima Murthy

{"title":"Personality Traits that Predispose or Protect in Smartphone Addiction and Their Implications for Intervention: A Narrative Review.","authors":"Nisha John,Maya Sahu,Manoj Kumar Sharma,Pratima Murthy","doi":"10.1089/cyber.2024.0444","DOIUrl":"https://doi.org/10.1089/cyber.2024.0444","url":null,"abstract":"Technological advancement has transformed nearly every aspect of modern life. Nonetheless excessive use of smartphone has become a matter of concern. Adolescents and young adults tend to be more attached or addictive to smartphones and their effects are seen either physically or psychologically. However, there are still no established diagnostic criteria for smartphone addiction in The Diagnostic and Statistical Manual of Mental Disorders, 5th Edition. The present review aimed at looking into the available evidence of personality factors in connection with smartphone use and thereby exploring the role of personality in interventions for smartphone addiction on the ground of theoretical foundation. Findings revealed that high neuroticism was significantly related to excessive use and even predicted problematic use of smartphones. Though studies revealed that extraversion may cause an individual to be inclined to increased smartphone usage, it would not lead to smartphone addiction. Similarly, openness to experience traits showed a slight negative association and were not significant predictors of smartphone addiction, whereas conscientiousness and high agreeableness appeared to be protective factors against its development. Research on the relationship between smartphone addiction and social-emotional distress is still in its early stages, requiring cautious generalization. Since eliminating smartphone use completely is impractical, possible interventions for smartphone addiction linked with personality are recommended.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"12 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144097767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Online Prosocial Behaviors: A Scoping Review of Definitions, Actions, and Motivators. 在线亲社会行为：定义、行动和激励因素的范围审查。

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-15 DOI: 10.1089/cyber.2024.0481

Melinda Nuttall,Tanya Machin,Raquel Peel,Susan Abel,Samantha Brown

{"title":"Online Prosocial Behaviors: A Scoping Review of Definitions, Actions, and Motivators.","authors":"Melinda Nuttall,Tanya Machin,Raquel Peel,Susan Abel,Samantha Brown","doi":"10.1089/cyber.2024.0481","DOIUrl":"https://doi.org/10.1089/cyber.2024.0481","url":null,"abstract":"People are fundamentally social creatures, seeking connectedness driven by a need to belong. Belonging is a subjective feeling that helps us recognize our connection to people, social groups, culture, places, and experiences. In turn, belongingness can support mental well-being through positive interpersonal interactions and encouragement in both face-to-face and online environments. Advancements in technologies and social media platforms have created spaces for people to connect virtually; however, little is known about users' online prosocial behaviors. Hence, this scoping review aimed to identify (a) how online prosocial behavior is defined; (b) explore the types of online prosocial behavior people are engaging in; and (c) explore what motivates people to engage in online prosocial behavior. Utilizing the Joanna Briggs Institute's nine-step framework methodology, a review of the Scopus and PubMed databases was undertaken. From 755 retrieved articles, 43 were included. Various online prosocial behavioral definitions were identified, related to an individual's attitudes, values, and beliefs, underpinned by the motives driving behavioral intent and action. Two categories of online prosocial behavior were identified: (1) intrinsic with two subcategories: (1.1) altruism and (1.2) reciprocity; and (2) extrinsic with one subcategory of (2.1) social connectedness. Two categories of motivators of online prosocial behavior were identified: (1) intrinsic with subcategories of (1.1) altruism, (1.2) empathy, (1.3) self-efficacy, (1.4) reciprocity, and (1.5) safety and trust; and (2) extrinsic with subcategories of (2.1) ease of use/practicality, (2.2) reputation, (2.3) personal gain, and (2.4) social connectedness.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"35 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144065759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Attitudes Toward the Use of Conditional Automated Vehicles in the Technology Acceptance Model Framework: Evidence from an Italian Sample. 对技术接受模型框架中使用条件自动驾驶车辆的态度：来自意大利样本的证据。

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-12 DOI: 10.1089/cyber.2024.0517

Giovanni Bruno,Alex Marson,Federica Nenna,Carolina Diaz-Piedra,Andrea Spoto

{"title":"Attitudes Toward the Use of Conditional Automated Vehicles in the Technology Acceptance Model Framework: Evidence from an Italian Sample.","authors":"Giovanni Bruno,Alex Marson,Federica Nenna,Carolina Diaz-Piedra,Andrea Spoto","doi":"10.1089/cyber.2024.0517","DOIUrl":"https://doi.org/10.1089/cyber.2024.0517","url":null,"abstract":"Automated vehicles (AVs) have the potential to significantly enhance road safety, traffic efficiency, and mobility access by supporting or replacing human control during driving. However, the success of this transition hinges on people's attitudes. This study explores the dimensionality and factor interactions in the adaptation of the technology acceptance model (TAM) to conditional AVs applied to an Italian sample, to provide a new perspective on the acceptance of the intermediate level of driving automation. After evaluating the content and relevance of the subscales, we analyzed responses from 201 Italian-speaking individuals collected through a questionnaire. Structural equation modeling was employed to examine the scale's factor structure and interrelations. Results indicate that most items demonstrated satisfactory fit and the questionnaire maintained its overall factor structure in the Italian context. Interestingly, an unmediated effect of the Perceived Utility of AVs-and, to a lesser extent, concerns with the manufacturer's compliance with ethical data treatment procedures-were found on the intention to use AVs. These findings contribute to the understanding of factors influencing the acceptance of AVs. They underscore the importance of users' perceptions of both practical utility and proper privacy safeguarding in determining the acceptance of the described AV technology. The implications for the development of TAM extensions and future research directions are also discussed.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"35 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143933092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

The Hacker's Pulse: Using Biometrics to Unmask Cyber Threats. 黑客的脉搏：利用生物识别技术揭露网络威胁。

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-07 DOI: 10.1089/cyber.2025.0144

Brenda K Wiederhold

引用次数: 0

The Effects of Explainability and User Control on Algorithmic Transparency: The Moderating Role of Algorithmic Literacy. 可解释性和用户控制对算法透明度的影响：算法素养的调节作用。

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-07 DOI: 10.1089/cyber.2024.0525

Jang Ho Moon,Seheon Kim,Youngju Jung,Jaeyeon Bang,Yongjun Sung

{"title":"The Effects of Explainability and User Control on Algorithmic Transparency: The Moderating Role of Algorithmic Literacy.","authors":"Jang Ho Moon,Seheon Kim,Youngju Jung,Jaeyeon Bang,Yongjun Sung","doi":"10.1089/cyber.2024.0525","DOIUrl":"https://doi.org/10.1089/cyber.2024.0525","url":null,"abstract":"As algorithms increasingly shape user experiences on digital platforms, concerns have emerged regarding their opacity and potential negative consequences. In response, platforms have introduced transparency features such as algorithm-based recommendation explanations and user control features. However, empirical research on the effects of these approaches and how they vary according to user characteristics remains limited. This study explores the impact of algorithmic explainability and user control on perceptions of algorithmic transparency, legitimacy, and platform satisfaction in short-form video platforms, focusing on how users' algorithmic literacy moderates these relationships. A 2 (explainability: present vs. absent) × 2 (user control: present vs. absent) × 2 (algorithmic literacy: high vs. low) between-subjects experiment was conducted with 240 participants using a fictitious short-form video platform. The results revealed a significant three-way interaction across all the dependent variables. Both explainability and user control enhanced perceived algorithmic transparency, legitimacy, and satisfaction. When neither feature was present, algorithmic literacy had no significant impact. However, when at least one feature was present, literacy significantly influenced the dependent variables. These findings highlight the critical role of algorithmic literacy in moderating transparency mechanisms' effects. This study advances the understanding of how platform-initiated transparency shapes user perceptions, suggesting that literacy creates a new dimension of the digital divide, where transparency benefits are unequally experienced. Implications for platform developers and policymakers are discussed.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"68 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Artificial Intelligence and the Illusion of Understanding: A Systematic Review of Theory of Mind and Large Language Models. 人工智能和理解的幻觉：心智理论和大型语言模型的系统回顾。

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-07 DOI: 10.1089/cyber.2024.0536

Antonella Marchetti,Federico Manzi,Giuseppe Riva,Andrea Gaggioli,Davide Massaro

{"title":"Artificial Intelligence and the Illusion of Understanding: A Systematic Review of Theory of Mind and Large Language Models.","authors":"Antonella Marchetti,Federico Manzi,Giuseppe Riva,Andrea Gaggioli,Davide Massaro","doi":"10.1089/cyber.2024.0536","DOIUrl":"https://doi.org/10.1089/cyber.2024.0536","url":null,"abstract":"The development of Large Language Models (LLMs) has sparked significant debate regarding their capacity for Theory of Mind (ToM)-the ability to attribute mental states to oneself and others. This systematic review examines the extent to which LLMs exhibit Artificial ToM (AToM) by evaluating their performance on ToM tasks and comparing it with human responses. While LLMs, particularly GPT-4, perform well on first-order false belief tasks, they struggle with more complex reasoning, such as second-order beliefs and recursive inferences, where humans consistently outperform them. Moreover, the review underscores the variability in ToM assessments, as many studies adapt classical tasks for LLMs, raising concerns about comparability with human ToM. Most evaluations remain constrained to text-based tasks, overlooking embodied and multimodal dimensions crucial to human social cognition. This review discusses the \"illusion of understanding\" in LLMs for two primary reasons: First, their lack of the developmental and cognitive mechanisms necessary for genuine ToM, and second, methodological biases in test designs that favor LLMs' strengths, limiting direct comparisons with human performance. The findings highlight the need for more ecologically valid assessments and interdisciplinary research to better delineate the limitations and potential of AToM. This set of issues is highly relevant to psychology, as language is generally considered just one component in the broader development of human ToM, a perspective that contrasts with the dominant approach in AToM studies. This discrepancy raises critical questions about the extent to which human ToM and AToM are comparable.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"19 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143920975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Detection of Negative Emotions in Short Texts Using Deep Neural Networks. 利用深度神经网络检测短文本中的负面情绪。

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-07 DOI: 10.1089/cyber.2024.0457

Luis A Camacho-Vázquez,Vanessa A Camacho-Vázquez,Sandra D Orantes-Jiménez,Grigori Sidorov

{"title":"Detection of Negative Emotions in Short Texts Using Deep Neural Networks.","authors":"Luis A Camacho-Vázquez,Vanessa A Camacho-Vázquez,Sandra D Orantes-Jiménez,Grigori Sidorov","doi":"10.1089/cyber.2024.0457","DOIUrl":"https://doi.org/10.1089/cyber.2024.0457","url":null,"abstract":"Emotion detection is crucial in various domains, including psychology, health, social sciences, and marketing. Specifically, in psychology, identifying negative emotions in short Spanish texts, such as tweets, is vital for understanding individuals' emotional states. However, this process is challenging because of factors such as lack of context, cultural nuances, and ambiguous expressions. Although much research on emotion classification in tweets has focused on applications such as crisis analysis, mental health monitoring, and affective computing, most of it has been conducted in English, leaving a significant gap in addressing the emotional needs of Spanish-speaking communities. To address this gap, we used a corpus of 12,000 Spanish tweets tagged with Ekman's negative emotions (sadness, anger, fear, and disgust). Traditional features (n-grams of different types and sizes), syntactic n-grams, and combined features were evaluated. Different deep neural networks, including convolutional neural networks, Bidirectional Encoder Representations of Transformers (BERT), and the robust optimized BERT approach called RoBERTa, were implemented and compared with traditional machine learning methods to identify the most effective method. Extensive testing revealed that BERT achieved the best result, with a macro F1 score of 0.9973. Furthermore, we reported the carbon emissions generated during the training of each implemented method. This study makes a unique contribution by focusing on negative emotions in Spanish, leveraging one of the largest and highest-quality corpora available. It stands out for implementing advanced transformers such as RoBERTa and integrating combined and syntactic n-grams in traditional methods. Furthermore, it highlights how parameters, features, and preprocessing significantly influence performance.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"47 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143915204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Cleared for Takeoff: Using Technology to Safeguard Aviation Mental Health. 允许起飞：使用技术保障航空心理健康。

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-07 DOI: 10.1089/cyber.2025.0154

Brenda K Wiederhold

引用次数: 0