Cyberpsychology, behavior and social networking最新文献

Crowdsourcing Compassion: Humane AI and the Rise of Patient-Led Discovery. 众包同情：人性化的人工智能和患者主导的发现的兴起。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-06-09 DOI: 10.1089/cyber.2025.0203

Brenda K Wiederhold

引用次数: 0

The Cost of Convenience: Does AI Undermine Critical Thinking? 便利的代价：人工智能会破坏批判性思维吗？

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-06-09 DOI: 10.1089/cyber.2025.0189

Brenda K Wiederhold

引用次数: 0

A Grade for Artificial Intelligence: A Study on School Teachers' Ability to Identify Assignments Written by Generative Artificial Intelligence. 人工智能成绩：学校教师识别生成式人工智能作业能力的研究。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-06-05 DOI: 10.1089/cyber.2024.0524

Maria Concetta Carruba, Alba Caiazzo, Chiara Scuotto, Lucrezia Savioni, Stefano Triberti

{"title":"A Grade for Artificial Intelligence: A Study on School Teachers' Ability to Identify Assignments Written by Generative Artificial Intelligence.","authors":"Maria Concetta Carruba, Alba Caiazzo, Chiara Scuotto, Lucrezia Savioni, Stefano Triberti","doi":"10.1089/cyber.2024.0524","DOIUrl":"https://doi.org/10.1089/cyber.2024.0524","url":null,"abstract":"Artificial intelligence (AI) is rapidly advancing across various sectors, including education. However, AI in education raises ethical concerns, for example, regarding the originality of students' homework, which could affect both learning outcomes and student-teacher's trust. Despite AI's potential benefits, many teachers feel skeptical about its use, fearing that students may use it unfairly. This study aims to explore teachers' ability to assess the originality of student assignments and identify AI-generated content, taking into consideration teachers' expertise, self-efficacy, and personality. A sample of 67 middle and high-school teachers evaluated six short assignments, half written by real students and half by AI (ChatGPT 3.5). t Tests and analysis of variance were conducted to compare the identification accuracy of assignments and the relationship with teachers' expertise, and regressions were performed to examine the relationships between identification accuracy, personality traits, and self-efficacy in detecting originality. Teachers were able to identify AI-generated assignments but struggled with student-generated ones. Furthermore, teachers with more expertise exhibited a potential bias against students, mistakenly identifying their work as AI-generated. While teachers were able to evaluate assignments objectively, openness and conscientiousness predicted their self-efficacy in assessing originality. We discuss how educators may learn new opportunities to use generative AI to promote learning and engagement. Although students may leverage AI to minimize their workload, AI represents a way to support them during the learning process, if it is developed taking into account students' and teachers' needs and characteristics.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144224642","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

Is Interaction Between Human and Artificial Intelligence-Driven Agents (Para)Social? A Scoping Review. 人类和人工智能驱动的代理之间的互动是社会的吗？范围审查。

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-27 DOI: 10.1089/cyber.2024.0532

Dandan Liu

{"title":"Is Interaction Between Human and Artificial Intelligence-Driven Agents (Para)Social? A Scoping Review.","authors":"Dandan Liu","doi":"10.1089/cyber.2024.0532","DOIUrl":"https://doi.org/10.1089/cyber.2024.0532","url":null,"abstract":"Despite the growing presence of artificial intelligence (AI)-based agents in human daily life, there remains a dearth of exploration and synthesized evidence on the social aspects of human-AI interaction. Researchers have increasingly viewed AI agents as a distinct form of media persona, sparking interest in the phenomenon of parasocial interaction (PSI) with these entities. Building on this emerging area of inquiry, this scoping review aims to examine the applicability of the parasocial concept to human-AI agent interactions and to evaluate whether these interactions can be considered \"parasocial.\" Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, the findings suggest a propensity to misconstrue PSI in terms of reciprocity and sociability within the context of enhanced interactivity in human-AI communication. This study contributes to parasocial theory building and offers critical insights for future human-AI PSI research, underscoring the importance of applying the parasocial concept within its intended conceptual boundaries, particularly in the field of human-AI and broader human-machine communication.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"16 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144146187","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

Investigating the Effects of Dark Triad and Anonymity on Exclusionary Cyber Aggression: A Social Media Experiment. 研究黑暗三合一和匿名性对排他性网络攻击的影响：一项社交媒体实验。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-23 DOI: 10.1089/cyber.2024.0577

Cheng-Yen Wang, Yih-Lan Liu, Chia-Yun Chang

{"title":"Investigating the Effects of Dark Triad and Anonymity on Exclusionary Cyber Aggression: A Social Media Experiment.","authors":"Cheng-Yen Wang, Yih-Lan Liu, Chia-Yun Chang","doi":"10.1089/cyber.2024.0577","DOIUrl":"https://doi.org/10.1089/cyber.2024.0577","url":null,"abstract":"This study investigated the complex relationship between the Dark Triad (DT) and anonymity levels in the context of cyber aggression on social media. By employing an experimental design, the study aimed to bridge the gap between traditional survey-based experiments and real-time online interactions among social media users. Participants (N = 115) from Taiwan took part a 2 × 2 experimental design, which varied along two factors: anonymity (high vs. low) and DT (high vs. low). Over the course of a four-day simulated exclusionary cyber aggression event, participants' attitudes were measured via surveys, while their aggressive behaviors were assessed using the polling function on social media. The findings revealed that participants with high DT exhibited significantly higher levels of cyber aggression under the low-anonymity condition compared to those with low DT. However, there was no difference between groups under the high-anonymity condition. Notably, no significant differences were found in attitudes towards cyber aggression. This study makes a significant contribution by employing a simulated cyber aggression scenario that captures participants' real-time attitudes and behaviors, rather than relying solely on self-report measures, as is common in previous research.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144126949","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

Feasibility of an App-Supported Monitoring System for Cognitive-Behavioral Interventions in Fibromyalgia Patients in Public Settings. 应用程序支持的公共场所纤维肌痛患者认知行为干预监测系统的可行性

IF 6.6 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2025-05-21 DOI: 10.1089/cyber.2024.0582

Laura Rubio Fidel,Miriam Cotaina Berto,Laurencio Pérez Turleque,Azucena García-Palacios,Carlos Suso-Ribera

{"title":"Feasibility of an App-Supported Monitoring System for Cognitive-Behavioral Interventions in Fibromyalgia Patients in Public Settings.","authors":"Laura Rubio Fidel,Miriam Cotaina Berto,Laurencio Pérez Turleque,Azucena García-Palacios,Carlos Suso-Ribera","doi":"10.1089/cyber.2024.0582","DOIUrl":"https://doi.org/10.1089/cyber.2024.0582","url":null,"abstract":"Fibromyalgia (FM) is a chronic condition marked by widespread pain, psychological distress, and significant societal costs. This study evaluates the feasibility of a mobile health (mHealth) application designed to support cognitive-behavioral therapy for FM by enabling real-time tracking of patient-reported outcomes and adaptive treatment modifications within public health care settings. Thirty-six adults with FM participated in this feasibility study, which assessed the app's usability, acceptability, and clinical utility for both patients and therapists. Results demonstrated high usability ratings (87.63 for patients, 88.75 for therapists) and adherence rates (67.9 percent of requested evaluations completed), confirming the app's practicality and engagement potential. The app generated 1,348 clinical alarms during the intervention, providing actionable insights that allowed therapists to tailor treatments dynamically. This study highlights the role of mHealth technologies in enhancing psychological care through data-driven, real-time monitoring, and treatment personalization. Small but notable reductions in depression levels underscore the app's potential to improve psychological outcomes. By fostering engagement and facilitating personalized care, this approach advances the integration of digital health tools in chronic disease management, offering a scalable model for enhancing behavioral interventions in public health systems.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":"32 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103688","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

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