Cyberpsychology, behavior and social networking最新文献_第4页

Multiple Facets of Rejections in Online Dating: Exploring Types, Reasons, and Impact. 在线约会中被拒绝的多面性：探索类型、原因和影响。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2024-08-01 Epub Date: 2024-07-04 DOI: 10.1089/cyber.2023.0751

Tess van der Zanden, Janneke M Schokkenbroek

{"title":"Multiple Facets of Rejections in Online Dating: Exploring Types, Reasons, and Impact.","authors":"Tess van der Zanden, Janneke M Schokkenbroek","doi":"10.1089/cyber.2023.0751","DOIUrl":"10.1089/cyber.2023.0751","url":null,"abstract":"Romantic rejections are a hurtful yet common occurrence in online dating. While research in this area is growing, there is a need for a comprehensive and comparative overview to understand these rejection experiences better. This article presents the results of two cross-sectional survey studies that aimed to create a more comprehensive overview of multiple facets of rejections in online dating, particularly the types of rejections used, the (provided) reasons for rejecting, and the painfulness of being rejected. Results of Study 1 (n = 177) show that ghosting was the most often experienced rejection type, even when a considerable number of messages was exchanged before the rejection. Unmatching/blocking and rejections with an explanation occurred less but equally often. Moreover, individuals who experienced rejections with an explanation reported the highest painfulness rates, which raised important questions about the reasons behind such explicit rejections. Study 2 further unpacked the provided rejection reasons, from the rejecter and the rejectee perspective. Five categories were identified among the reasons, such as (lack of) attraction and reasons related to relationship investment. Several interesting discrepancies that emerged between reasons provided by rejecters versus rejectees are discussed. Our work underlines the multifaceted nature of rejection experiences in online dating and sets directions for future research that further explores the relationships between rejection types, reasons, and painfulness in detail.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141533918","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

Psychological and Brain Responses to Artificial Intelligence's Violation of Community Ethics. 人工智能违反社区伦理的心理和大脑反应。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2024-08-01 Epub Date: 2024-05-17 DOI: 10.1089/cyber.2023.0524

Yue He, Ruolei Gu, Guangzhi Deng, Yongling Lin, Tian Gan, Fang Cui, Chao Liu, Yue-Jia Luo

{"title":"Psychological and Brain Responses to Artificial Intelligence's Violation of Community Ethics.","authors":"Yue He, Ruolei Gu, Guangzhi Deng, Yongling Lin, Tian Gan, Fang Cui, Chao Liu, Yue-Jia Luo","doi":"10.1089/cyber.2023.0524","DOIUrl":"10.1089/cyber.2023.0524","url":null,"abstract":"Human moral reactions to artificial intelligence (AI) agents' behavior constitute an important aspect of modern-day human-AI relationships. Although previous studies have mainly focused on autonomy ethics, this study investigates how individuals judge AI agents' violations of community ethics (including betrayals and subversions) compared with human violations. Participants' behavioral responses, event-related potentials (ERPs), and individual differences were assessed. Behavioral findings reveal that participants rated AI agents' community-violating actions less morally negative than human transgressions, possibly because AI agents are commonly perceived as having less agency than human adults. The ERP N1 component showed the same pattern with moral rating scores, indicating the modulation effect of human-AI differences on initial moral intuitions. Moreover, the level of social withdrawal correlated with a smaller N1 in the human condition but not in the AI condition. The N2 and P2 components were sensitive to the difference between the loyalty/betrayal and authority/subversion domains but not human/AI differences. Individual levels of moral sense and autistic traits also influenced behavioral data, especially on the loyalty/betrayal domain. In our opinion, these findings offer insights for predicting moral responses to AI agents and guiding ethical AI development aligned with human moral values.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140956396","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

Virtual Social Interaction in a Multiplayer-Online Video Game Increases Implicit Learning: An EEG Study. 多人在线视频游戏中的虚拟社交互动可提高内隐学习能力：脑电图研究

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2024-08-01 Epub Date: 2024-06-21 DOI: 10.1089/cyber.2023.0336

Elena Del Fante, Francesca Piovesan, Pietro Sarasso, Paolo Barbieri, Maria-Chiara Villa, Katiuscia Sacco, Irene Ronga

{"title":"Virtual Social Interaction in a Multiplayer-Online Video Game Increases Implicit Learning: An EEG Study.","authors":"Elena Del Fante, Francesca Piovesan, Pietro Sarasso, Paolo Barbieri, Maria-Chiara Villa, Katiuscia Sacco, Irene Ronga","doi":"10.1089/cyber.2023.0336","DOIUrl":"10.1089/cyber.2023.0336","url":null,"abstract":"It is well known that social interaction enhances learning processes, improving abilities such as attention and memorization. However, it is not clear whether similar advantages may be obtained even in virtual environments. Here, we investigate whether virtual interactions in a video game, similarly to real-life social interactions, may improve individuals' performance in a subsequent implicit learning task. Twenty-one healthy participants were asked to play a cooperative video game for 20 minutes in three different gaming modalities: alone (Single-Player); together with someone without verbal interactions (Multi-Player -); and with someone with verbal interactions (Multi-Player +). After each gaming session, participants were presented with an EEG paradigm directed to measure mismatch negativity (MMN) responses, a well-validated index of implicit learning. MMN responses were significantly larger following Multi-Player +, as compared with Single-Player, and Multi-Player - conditions. No significant difference was found between Single-Player, and Multi-Player - conditions. These results indicate that implicit learning processes are enhanced following communicative virtual interactions. Verbal interaction in a virtual environment seems necessary to elicit social copresence and its positive effects on learning performances. This finding may have important implications for the design of virtual rehabilitation protocols and distance learning programs.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141436656","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

Whom Does Remote Work Make Happy? The Digital Divide in Remote Workers' Well-Being. 远程工作让谁快乐？远程工作者幸福感中的数字鸿沟》。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2024-08-01 Epub Date: 2024-06-25 DOI: 10.1089/cyber.2023.0744

Jennifer Ihm, Yunjin Kim, Chul-Joo Lee

{"title":"Whom Does Remote Work Make Happy? The Digital Divide in Remote Workers' Well-Being.","authors":"Jennifer Ihm, Yunjin Kim, Chul-Joo Lee","doi":"10.1089/cyber.2023.0744","DOIUrl":"10.1089/cyber.2023.0744","url":null,"abstract":"The global shift to remote work during the COVID-19 pandemic has intensified scholarly attention to remote workers' well-being. Although existing studies explore the varied impacts of remote work, there is a gap in understanding remote workers' well-being through the lenses of social disparity and the digital divide. Extending digital divide scholarship to the remote work context, this study disentangles why some remote workers experience better well-being than others. We conducted a two-wave longitudinal panel study in South Korea during the COVID-19 pandemic (Wave 1: February 2021, Wave 2: October 2021). Among the 501 participants who participated in both waves, we found that individuals with lower education levels were less likely to have remote work opportunities. We focused our further analyses on a subset of 144 employees who had remote work opportunities within organizations with typical hierarchical structures. We found that socioeconomic status (SES) did not directly influence remote workers' well-being but indirectly influenced it by contributing to the diversity in using information and communication technologies (ICTs). Workers with higher SES or more diversity in using ICTs demonstrated lower vulnerability and more effectiveness in maintaining their well-being in virtual organizational communication situations. This study highlights social disparities in remote workers' well-being, which arise from the complex interplay of SES either indirectly influencing the diversity in ICT usage or interacting with virtual organizational communication satisfaction and duration. This study advances remote work scholarship by restructuring theoretical discussions on social stratification and the digital divide reproduced within the evolving work environment.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141445863","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

Stalking Discourse on Reddit: A Comparative Analysis of Pre- and Post-COVID-19 Pandemic Using Big Data. Reddit 上的跟踪言论：利用大数据对 COVID-19 大流行前后的对比分析。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2024-08-01 Epub Date: 2024-06-21 DOI: 10.1089/cyber.2023.0397

Sou Hyun Jang, Donghun Kim, Yongjun Zhu, Chunrye Kim

引用次数: 0

Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers. 通过人工智能驱动的飞行员和空中交通管制员心理健康管理提升航空安全。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2024-08-01 Epub Date: 2024-06-25 DOI: 10.1089/cyber.2023.0737

Krešimir Ćosić, Siniša Popović, Brenda K Wiederhold

{"title":"Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers.","authors":"Krešimir Ćosić, Siniša Popović, Brenda K Wiederhold","doi":"10.1089/cyber.2023.0737","DOIUrl":"10.1089/cyber.2023.0737","url":null,"abstract":"This article provides an overview of the mental health challenges faced by pilots and air traffic controllers (ATCs), whose stressful professional lives may negatively impact global flight safety and security. The adverse effects of mental health disorders on their flight performance pose a particular safety risk, especially in sudden unexpected startle situations. Therefore, the early detection, prediction and prevention of mental health deterioration in pilots and ATCs, particularly among those at high risk, are crucial to minimize potential air crash incidents caused by human factors. Recent research in artificial intelligence (AI) demonstrates the potential of machine and deep learning, edge and cloud computing, virtual reality and wearable multimodal physiological sensors for monitoring and predicting mental health disorders. Longitudinal monitoring and analysis of pilots' and ATCs physiological, cognitive and behavioral states could help predict individuals at risk of undisclosed or emerging mental health disorders. Utilizing AI tools and methodologies to identify and select these individuals for preventive mental health training and interventions could be a promising and effective approach to preventing potential air crash accidents attributed to human factors and related mental health problems. Based on these insights, the article advocates for the design of a multidisciplinary mental healthcare ecosystem in modern aviation using AI tools and technologies, to foster more efficient and effective mental health management, thereby enhancing flight safety and security standards. This proposed ecosystem requires the collaboration of multidisciplinary experts, including psychologists, neuroscientists, physiologists, psychiatrists, etc. to address these challenges in modern aviation.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141445857","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 Rise of AI Companions and the Quest for Authentic Connection. 人工智能伴侣的崛起和对真实联系的追求。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2024-08-01 Epub Date: 2024-06-25 DOI: 10.1089/cyber.2024.0309

Brenda K Wiederhold

引用次数: 0

Associations of Social Factors and Self-Efficacy with Skin-Self Examination Intentions Among Hispanics at Risk for Skin Cancer and Their Preferences for Digital Interventions. 社会因素和自我效能与有皮肤癌风险的西班牙裔人的皮肤自检意向及其对数字干预的偏好的关系。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2024-07-31 DOI: 10.1089/cyber.2023.0704

Zhaomeng Niu, Carolyn J Heckman

{"title":"Associations of Social Factors and Self-Efficacy with Skin-Self Examination Intentions Among Hispanics at Risk for Skin Cancer and Their Preferences for Digital Interventions.","authors":"Zhaomeng Niu, Carolyn J Heckman","doi":"10.1089/cyber.2023.0704","DOIUrl":"https://doi.org/10.1089/cyber.2023.0704","url":null,"abstract":"Skin cancer ranks as the most prevalent cancer in the United States. Over the past two decades, the incidence of melanoma, the deadliest form of skin cancer, among Hispanics has risen by 20%. Melanoma mortality rates are higher in Hispanics than in non-Hispanic Whites (NHW). Early detection of melanoma via skin self-examination may lead to diagnosis of melanoma at an earlier stage, when they are thinner, less invasive, and more easily treatable, resulting in improved survival rates. Given the gap in research addressing culturally relevant factors related to skin cancer prevention and detection among Hispanics and informed by the Preventive Health Model, this study tested the associations between social and normative factors and self-efficacy with thorough skin self-examination (TSSE) intentions and queried participants about their preferences for skin cancer-related interventions. Among respondents (n = 79), 55.7% were female (n = 44), and 89.9% held a college or higher degree (n = 71). Self-efficacy fully mediated the effects of descriptive norms, injunctive norms, and provider-patient communication on TSSE intentions among Hispanics. On average, respondents demonstrated considerable interest in participating in a skin cancer-related behavioral intervention using a mobile application (75.6%) and/or using WhatsApp (71.8%). These preliminary findings provide new insights for development of future digital skin cancer intervention programs among Hispanics targeting social factors, including social norms and provider-patient communication, and utilizing preferred digital tools.","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141859302","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

Humanity's Evolving Conversations: AI as Confidant, Coach, and Companion. 人类不断发展的对话：作为知己、教练和伴侣的人工智能。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2024-07-18 DOI: 10.1089/cyber.2024.0387

Brenda K Wiederhold

引用次数: 0

Impacts of Racial and Gender Identities on Individuals' Intentions to Seek a Counselor. 种族和性别身份对个人寻求心理咨询师意向的影响。

IF 4.2 2区心理学

Cyberpsychology, behavior and social networking Pub Date : 2024-07-04 DOI: 10.1089/cyber.2023.0521

Romy Rw, Nick Joyce

引用次数: 0