Computers in human behavior reports最新文献_第2页

The power of human-like virtual-influencer-generated content: Impact on consumers’ willingness to follow and purchase intentions 类人虚拟影响者生成内容的力量：对消费者关注意愿和购买意向的影响

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2024-11-14 DOI: 10.1016/j.chbr.2024.100523

Warinrampai Rungruangjit , Kulachet Mongkol , Intaka Piriyakul , Kitti Charoenpornpanichkul

The swift progress in machine learning algorithms, artificial intelligence, and interactive immersive media technologies has led to the introduction of computer-generated imagery on Instagram. This feature, so-called “human-like virtual influencers (VIs)", has revolutionized the way people interact with technology. Using a combination of cutting-edge AI technologies, in a novel application of computer vision algorithms, and large language models to extract the content posted by two popular human-like VIs on Instagram, the present study is the first to categorize and classify types of human-like virtual-influencer-generated content. Quantitative methods, such as partial least squares structural equation modeling (PLS-SEM), were used to examine the impact of human-like virtual-influencer-generated content on consumers' willingness to follow as well as purchase intentions. The information was gathered from 650 Thai customers. The findings showed that consumers' willingness to follow and purchase intentions were significantly influenced by the positive effects of emotional appeal content, which includes relational, entertaining, positive emotion, and negative emotion content. These effects outweighed those of rational appeal content, such as informative and remunerative content, as well as authenticity appeal content. Meanwhile, disclosing sponsored content had no effect on consumers' willingness to follow. The theoretical underpinnings of uses and gratifications (U&G) theory, parasocial relationships and Richins' hierarchical model of emotions are confirmed and expanded upon in this work, and the suggested inclusive approach also significantly advances the expanding corpus of research on VIs. Our research also provides a contribution to the recent literature on human-like VI marketing.

随着机器学习算法、人工智能和交互式沉浸媒体技术的迅速发展，Instagram 上出现了计算机生成的图像。这一功能，即所谓的 "类人虚拟影响者（VI）"，彻底改变了人们与技术互动的方式。本研究结合尖端人工智能技术，以计算机视觉算法和大型语言模型的新颖应用，提取 Instagram 上两个流行的类人虚拟影响者发布的内容，首次对类人虚拟影响者生成的内容类型进行了分类和分级。研究采用了偏最小二乘结构方程模型（PLS-SEM）等定量方法来检验类人虚拟影响者生成的内容对消费者关注意愿和购买意向的影响。研究信息来自 650 名泰国消费者。研究结果表明，消费者的关注意愿和购买意向受到情感诉求内容（包括关系性、娱乐性、积极情感和消极情感内容）的积极影响。这些影响超过了理性诉求内容（如信息和报酬内容）以及真实性诉求内容的影响。同时，披露赞助内容对消费者的关注意愿没有影响。使用与满足（U&G）理论、寄生社会关系和里钦斯的情感层次模型的理论基础在这项研究中得到了证实和拓展，而所建议的包容性方法也极大地推动了有关VI的研究的不断扩展。我们的研究还为近期有关类人虚拟形象营销的文献做出了贡献。

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引用次数: 0

Effectiveness of virtual reality application technology for mathematical creativity 虚拟现实应用技术对数学创造力的影响

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2024-11-14 DOI: 10.1016/j.chbr.2024.100528

Flavia Aurelia Hidajat

As a development of metaverse technology, virtual reality (VR) application technology will be utilized to create a visual experience of abstract mathematical concepts and boost students' mathematical creativity in mathematics education. Thus, this study explores whether abstract mathematical concepts at the college level with VR application technology effectively foster students' mathematical creativity. Ninety-six students followed learning-based VR in mathematics education in Jakarta, Indonesia. The effectiveness of the VR experience was measured through indicators of immersive, interactive, focused attention, and imaginative experiences from the use of VR application technology. Meanwhile, mathematical creativity was measured by the flexibility and originality of students' ideas. Students will implement VR applications designed with 3D objects. After the implementation of the VR application, the creativity questionnaire and the VR technology usage questionnaire became data collection methods. Data analysis used multiple linear regression analysis. The study's results showed a positive impact of virtual reality application technology's immersive and interactive experience on the flexibility of students' mathematical ideas in enhancing mathematical creativity. On the other hand, focused attention and imaginative experiences from virtual reality application technology influenced the acquisition of originality of mathematical ideas in enhancing students' mathematical creativity. This study is essential because it identifies the effectiveness of virtual reality experiences in visualizing abstract mathematical concepts and improving students' mathematical creativity.

作为元宇宙技术的发展，虚拟现实（VR）应用技术将在数学教育中被用来创造抽象数学概念的视觉体验，提高学生的数学创造力。因此，本研究探讨了在大学阶段利用 VR 应用技术学习抽象数学概念是否能有效培养学生的数学创造力。在印度尼西亚雅加达，96 名学生在数学教育中使用了基于学习的 VR 技术。VR体验的有效性是通过VR应用技术的沉浸式体验、互动式体验、集中注意力体验和想象力体验等指标来衡量的。同时，数学创造力是通过学生想法的灵活性和原创性来衡量的。学生将使用三维物体设计的 VR 应用程序。在实施 VR 应用后，创造力问卷和 VR 技术使用问卷成为数据收集方法。数据分析采用多元线性回归分析。研究结果表明，虚拟现实应用技术的沉浸式交互体验对学生数学思想的灵活性有积极影响，可提高数学创造力。另一方面，虚拟现实应用技术带来的集中注意力和想象力体验影响了学生获得数学思想的独创性，从而提高了学生的数学创造力。这项研究非常重要，因为它确定了虚拟现实体验在将抽象数学概念视觉化和提高学生数学创造力方面的有效性。

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引用次数: 0

Leveraging capabilities of social media marketing for business success 利用社交媒体营销能力促进业务成功

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2024-11-13 DOI: 10.1016/j.chbr.2024.100524

Sofiane Laradi , Amina Elfekair , Mahmaod Alrawad , Mujtaba Hashim , Faten Derouez

Social media platforms viewed as an integrated resources in marketing capabilities, yet there is a significant shortage and fragmentation of research articulating the dimensions of social media marketing (SMM) capabilities and their influence on brand and firm performance. The aim of this study in to investigate the influence SMM capabilities on brand equity and firm performance. Using a survey method, we gathered data from 326 firm presented at four separate exhibitions in Algeria. The structural equation modeling results shows that SMM capabilities have a positive effect on brand equity and firm performance. Furthermore, the findings shown that brand equity effect firm performance and plays a complementary role between SMM capabilities and firm performance. However, SMM capabilities have been found to have no influence on brand equity furthermore, there is no moderating effect for firm size on any of the investigated relations. The findings significantly contribute the understanding of the SMM as strategic resources and dynamic capabilities, guiding community managers, content creators, and digital analysis to optimize social media platforms abilities for communication.

社交媒体平台被视为营销能力中的一种综合资源，然而在阐述社交媒体营销（SMM）能力的各个层面及其对品牌和企业绩效的影响方面，研究却严重不足且不成体系。本研究旨在探讨社交媒体营销能力对品牌资产和企业绩效的影响。通过调查方法，我们收集了在阿尔及利亚四个不同展会上参展的 326 家企业的数据。结构方程建模结果表明，SMM 能力对品牌资产和企业绩效有积极影响。此外，研究结果表明，品牌资产会影响企业绩效，并在 SMM 能力和企业绩效之间起到互补作用。然而，研究发现，SMM 能力对品牌资产没有影响，而且企业规模对所研究的任何关系都没有调节作用。研究结果极大地促进了人们对作为战略资源和动态能力的社交媒体营销能力的理解，指导社区管理者、内容创建者和数字分析人员优化社交媒体平台的传播能力。

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引用次数: 0

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2024-11-10 DOI: 10.1016/j.chbr.2024.100526

Alicia Bolívar-Cruz , Inmaculada Galván-Sánchez , Agustín J. Sánchez-Medina , Domingo Verano-Tacoronte

Teleworking has received increased attention in research, particularly since the onset of the COVID-19 pandemic. While existing studies have predominantly focused on the outcomes of mandatory telework, there remains a dearth of literature examining telework intentions and their antecedents, especially in post-pandemic contexts. This study examines the influence of career-related fear (CRF) on telework intentions, mediated by telework attitudes, and explores the moderating effect of telework intensity on the relationship between attitudes and telework intentions. A comprehensive survey-based methodology was used to collect data from a sample of 660 professionals. The data were analyzed using a hybrid approach that integrates partial least squares structural equation modeling (PLS-SEM) with necessary condition analysis (NCA) and artificial neural network (ANN) analysis. The results confirm the direct and indirect effects of the CRF on teleworking intentions, mediated by attitudes. Moreover, telework intensity moderates the relationship between attitudes and telework intention, with higher intensity levels associated with a reduced influence of attitudes on telework intention. This research contributes to a deeper understanding of telework dynamics by elucidating the complex interplay between CRF, attitudes, and telework intensity. The findings support the importance of addressing CRF and tailoring telework policies to accommodate different intensity levels, providing valuable insights for both academia and practice in managing telework arrangements.

远程工作在研究中受到越来越多的关注，尤其是在 COVID-19 大流行之后。现有的研究主要关注强制远程工作的结果，但研究远程工作意向及其前因的文献仍然很少，尤其是在大流行后的背景下。本研究探讨了与职业相关的恐惧（CRF）对远程工作意向的影响，这种影响以远程工作态度为中介，并探讨了远程工作强度对远程工作态度和远程工作意向之间关系的调节作用。研究采用了一种基于调查的综合方法，收集了 660 名专业人员的样本数据。数据采用混合方法进行分析，该方法将偏最小二乘结构方程模型（PLS-SEM）与必要条件分析（NCA）和人工神经网络（ANN）分析相结合。结果证实，在态度的中介作用下，CRF 对远程工作意向有直接和间接的影响。此外，远程工作强度调节了态度与远程工作意向之间的关系，强度越高，态度对远程工作意向的影响越小。这项研究通过阐明 CRF、态度和远程工作强度之间复杂的相互作用，有助于加深对远程工作动态的理解。研究结果支持了解决 CRF 问题和调整远程工作政策以适应不同强度水平的重要性，为管理远程工作安排的学术界和实践界提供了有价值的见解。

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引用次数: 0

Consumer impulse buying in Hungary: A CB-SEM analysis of Hungarian consumer behaviour towards mobile short video applications based on a Chinese reference model 匈牙利消费者的冲动性购买：基于中国参考模型的匈牙利消费者对移动短视频应用行为的 CB-SEM 分析

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2024-11-08 DOI: 10.1016/j.chbr.2024.100522

Tamás Vinkóczi, Izabella Mária Végvári, Martina Németh, Judit Petra Koltai

Mobile Short Video Applications are becoming increasingly popular worldwide. The appropriate content can shape, improve or change consumers' purchasing decisions. This paper examines the attitudinal differences in impulse buying related to the use and acceptance of MSAs by adapting a model already validated in China to Hungarian users. The analysis was conducted using Covariance-Based Structural Equation Modelling (CB-SEM). A structured questionnaire survey of 283 respondents in Hungary shows that the Chinese model cannot fully be applied to Hungary. A major difference between the results of the two models is that in the Hungarian model, perceived expertise shows a positive relationship with flow experience. This indicates that video makers - in the case of Hungarian videos - should produce content including introductory information and the operation of the product. The results suggest that in the case of MSA use in Hungary, perceived expertise affects impulse buying indirectly, but flow experience directly. Flow experience is only influenced by perceived expertise (β = 0.31, ρ < 0.05), with an explained variance of 10%. Flow experience (β = 0.46, ρ < 0.05) with its direct effect on impulse buying behaviour accounts for 21% of the variance. Hungarian and Chinese MSA users have different preferences in terms of content, thus the results provide important information for both international short video creators and companies entering the international market.

移动短视频应用在全球日益流行。适当的内容可以影响、改善或改变消费者的购买决策。本文通过将已在中国得到验证的模型适用于匈牙利用户，研究了与使用和接受 MSA 相关的冲动性购买的态度差异。分析采用了基于协方差的结构方程模型（CB-SEM）。对匈牙利 283 名受访者进行的结构化问卷调查显示，中国模型不能完全适用于匈牙利。两个模型结果的主要区别在于，在匈牙利模型中，感知到的专业知识与流量经验呈正相关。这表明，视频制作者--就匈牙利视频而言--应制作包括介绍信息和产品操作在内的内容。结果表明，在匈牙利使用 MSA 的案例中，感知到的专业知识会间接影响冲动购买，但会直接影响流动体验。流动体验仅受感知到的专业知识影响（β = 0.31，ρ < 0.05），解释方差为 10%。流量体验（β = 0.46，ρ < 0.05）对冲动购买行为有直接影响，占方差的 21%。匈牙利和中国的澳门金沙线上领彩金网用户在内容方面有着不同的偏好，因此研究结果为国际短视频创作者和进入国际市场的公司提供了重要信息。

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引用次数: 0

Too much of a good thing: How varying levels of automation impact user performance in a simulated intrusion detection task 好东西太多：不同程度的自动化如何影响用户在模拟入侵检测任务中的表现

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2024-11-06 DOI: 10.1016/j.chbr.2024.100511

Robert Thomson , Daniel N. Cassenti , Thom Hawkins

Cyber analysts face a demanding task when prioritizing alerts from intrusion detection systems, balancing the challenge of numerous false positives from rule-based methods with the critical need to detect genuine cyber threats, necessitating unwavering vigilance and imposing a significant cognitive burden. In this field, there exists pressure to incorporate artificial intelligence techniques to enhance the automation of analyst workflows, yet without a clear grasp of how elevating the Level of Automation impacts the allocation of attentional and cognitive resources among analysts. This paper describes a simulated AI-assisted intrusion detection task which varies five degrees of automation as well as the sensitivity of the assistant, evaluating performance-based (e.g., accuracy, response time, sensitivity, response bias) and subjective (e.g., surveys on workload and trust) measures. Participants white-listed a series of time-sensitive alerts in a simulated Snort® environment. Our findings indicate that elevating the level of automation altered participants’ behavior, evident in their tendency to display a response bias towards rejecting hits (reduced hit rate and false alarm rate) when overriding an AI’s decision. Additionally, participants subjectively reported experiencing a decreased cognitive workload with a more precise algorithm, irrespective of any variance in their actual performance. Our findings suggest the necessity for additional research before implementing further automation into analyst workflows, as the demands of tasks evolve with escalating levels of automation.

网络分析师在对入侵检测系统发出的警报进行优先排序时面临着一项艰巨的任务，既要应对基于规则的方法产生的大量误报，又要满足检测真正网络威胁的关键需求，这就要求分析师时刻保持警惕，并承受巨大的认知负担。在这一领域，人们面临着采用人工智能技术提高分析师工作流程自动化的压力，但却不清楚自动化水平的提高如何影响分析师的注意力和认知资源分配。本文介绍了一项模拟人工智能辅助入侵检测任务，该任务有五种不同的自动化程度以及助手的灵敏度，对基于性能（如准确性、响应时间、灵敏度、响应偏差）和主观（如工作量和信任度调查）的衡量标准进行了评估。参与者在模拟 Snort® 环境中将一系列具有时间敏感性的警报列入白名单。我们的研究结果表明，自动化水平的提高改变了参与者的行为，这表现在他们在推翻人工智能决策时倾向于拒绝命中（降低命中率和误报率）。此外，参与者主观地表示，使用更精确的算法后，他们的认知工作量减少了，而与实际表现的差异无关。我们的研究结果表明，在分析师工作流程中实施进一步自动化之前，有必要进行更多的研究，因为随着自动化水平的不断提高，任务的需求也在不断变化。

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引用次数: 0

An approach based on data mining and genetic algorithm to optimizing time series clustering for efficient segmentation of customer behavior 基于数据挖掘和遗传算法的方法，优化时间序列聚类，有效细分客户行为

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2024-11-01 DOI: 10.1016/j.chbr.2024.100520

Hodjat (Hojatollah) Hamidi, Bahare Haghi

In today's highly competitive market, organizations face significant challenges in accurately understanding and segmenting customer behavior due to the inherently dynamic and evolving nature of customer interactions over time. Traditional customer segmentation methods often neglect these temporal variations, leading to ineffective business strategies and missed opportunities. This research addresses this critical gap by introducing an innovative time series-based approach for customer behavior segmentation. By modeling each customer's behavior as a time series capturing key metrics such as purchase frequency, transaction amounts, and customer lifecycle costs the proposed method dynamically adapts to behavioral changes over time. To enhance segmentation precision, a genetic algorithm is employed to optimize feature weights, ensuring that the most relevant factors are emphasized. These optimized features are then clustered using spectral clustering to identify distinct and meaningful customer segments. The effectiveness of the proposed method is validated using 30 months of transactional data from a payment services company. The results demonstrate that the proposed approach, particularly when combined with spectral clustering and optimally weighted features, significantly surpassing the performance of traditional static segmentation techniques. This research not only provides a more accurate framework for uncovering hidden patterns in customer behavior but also delivers actionable insights for targeted marketing and personalized customer strategies.

在当今竞争激烈的市场中，由于客户互动本身具有动态性和随时间不断变化的特点，企业在准确理解和细分客户行为方面面临着巨大挑战。传统的客户细分方法往往忽视了这些时间上的变化，导致商业战略失效，错失良机。本研究通过引入一种基于时间序列的客户行为细分创新方法，弥补了这一关键差距。通过将每个客户的行为建模为一个时间序列，捕捉购买频率、交易金额和客户生命周期成本等关键指标，所提出的方法可动态适应随时间推移的行为变化。为了提高细分的精确度，我们采用了遗传算法来优化特征权重，确保强调最相关的因素。然后使用频谱聚类对这些优化后的特征进行聚类，以确定独特而有意义的客户细分。我们使用一家支付服务公司 30 个月的交易数据验证了所提方法的有效性。结果表明，所提出的方法，尤其是与频谱聚类和优化加权特征相结合时，其性能大大超过了传统的静态细分技术。这项研究不仅为揭示客户行为中隐藏的模式提供了一个更准确的框架，还为有针对性的营销和个性化客户战略提供了可行的见解。

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引用次数: 0

Development and validation of a mental eHealth literacy scale 开发和验证心理电子健康素养量表

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2024-10-30 DOI: 10.1016/j.chbr.2024.100518

Richard Huan Xu , Yuan Cao , Dong Dong , Eliza Lai-yi Wong , Sherry Kit-wa Chan

Objectives

This study aimed to develop a new instrument called the Mental eHealth Literacy Scale (MeHLS) to specifically measure mental eHealth literacy and to assess its psychometric properties in the Chinese population of Hong Kong.

Methods

The MeHLS was developed by a mixed-method study design with five phases. Psychometric properties were evaluated using both classical test theory and item response theory (IRT) approaches. For construct validity, we used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). We assessed convergent validity through hypothesized correlation analysis and known-group validity via ANOVA. We measured internal consistency using Cronbach's Alpha and test-retest reliability using the intraclass correlation coefficient. Receiver Operating Characteristic (ROC) was used to determine the optimal cut-off point of the MeHLS.

Results

A total of 2064 individuals completed the survey. Both EFA and CFA demonstrated a three-factor structure of the MeHLS, aligning with the design. The IRT analysis showed the discrimination value ranged between 1.580 and 3.296, with no items having disordered thresholds. Correlation analysis revealed that MeHLS was significantly associated with all concept-related instruments, indicating good convergent validity. ANOVA results demonstrated that MeHLS can significantly differentiate individuals in all risk groups. The MeHLS showed good reliability, with a Cronbach's Alpha of 0.95 and an Intraclass Correlation Coefficient of 0.75. ROC analysis confirmed a cut-off score of 67 to differentiate individuals with high and low MeHL.

Conclusion

The MeHLS is a multidimensional instrument that shows good psychometric properties for measuring web-based mental health literacy.

本研究旨在开发一种名为心理电子健康素养量表（MeHLS）的新工具，以专门测量香港华裔人口的心理电子健康素养，并评估其心理测量学特性。我们采用经典测验理论和项目反应理论（IRT）方法对心理测量特性进行了评估。在构造效度方面，我们采用了探索性因素分析（EFA）和确认性因素分析（CFA）。我们通过假设相关分析评估了收敛效度，并通过方差分析评估了已知组效度。我们使用 Cronbach's Alpha 测量内部一致性，使用类内相关系数测量测试-再测可靠性。接收者操作特征（ROC）用于确定 MeHLS 的最佳截断点。EFA和CFA均显示出MeHLS的三因素结构，与设计相符。IRT分析表明，辨别值介于1.580和3.296之间，没有项目的阈值紊乱。相关性分析表明，MeHLS 与所有概念相关工具都有明显的相关性，表明其具有良好的趋同效度。方差分析结果表明，MeHLS 能明显区分所有风险组别中的个体。MeHLS 显示出良好的可靠性，Cronbach's Alpha 为 0.95，类内相关系数为 0.75。结论MeHLS是一种多维工具，在测量基于网络的心理健康素养方面显示出良好的心理测量特性。

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引用次数: 0

Interactive external representations for knowledge-building processes and performance in dyads: An experimental study 互动式外部表征促进二人组的知识积累过程和绩效：一项实验研究

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2024-10-29 DOI: 10.1016/j.chbr.2024.100519

Magdalena Mateescu , Simone Kauffeld

Digital tools that enable the production and manipulation of interactive external representations (IER) could be vital in strengthening collaboration and boosting performance. This experimental study with 40 participants working in dyads at a Large Interactive Surface examined the effects of IER on the collaborative processes and solution quality. The results show that even minor changes in interactivity can influence both collaborative processes and solution quality. Specifically, higher interactivity led to higher convergence of mental models and solution quality. Additionally, the dyads in the higher interactivity condition tended to focus on different aspects of the problem space, i.e. macro vs. micro-level interaction. Although the level of interactivity did not directly affect conversational turn-taking, the cross-recurrence quantification analysis revealed that it may change dyads' collaborative patterns. High interactive external representations may foster more complex collaboration dynamics with a plurality of patterns. Unexpectedly, turn-taking had no bearing on the solution quality, which is especially surprising considering the results of previous research. The findings contribute to understanding team cognition by taking a nuanced view of digital technology's role in team efficiency and convergence of the mental models. The practical implications of the findings are discussed.

能够制作和操作交互式外部表征（IER）的数字工具对于加强协作和提高绩效至关重要。这项实验研究有 40 人参加，他们在大型交互表面上以二人一组的方式工作，研究了 IER 对协作过程和解决方案质量的影响。结果表明，即使是互动性的微小变化也会影响协作过程和解决方案的质量。具体来说，互动性越高，心智模型的趋同性和解决方案的质量就越高。此外，高互动性条件下的二人组倾向于关注问题空间的不同方面，即宏观与微观层面的互动。虽然互动水平并不直接影响会话的轮流进行，但交叉复现量化分析表明，互动水平可能会改变两人的合作模式。高互动性的外部表征可能会促进更复杂的合作动态，并产生多种合作模式。出乎意料的是，轮流对解决方案的质量没有影响，考虑到之前的研究结果，这一点尤其令人惊讶。这些研究结果有助于理解团队认知，从细微处探讨了数字技术在团队效率和心智模式趋同方面的作用。本文还讨论了研究结果的实际意义。

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引用次数: 0

Cross-cultural study on social media usage and its correlation with mental health and family functioning 关于社交媒体使用及其与心理健康和家庭功能相关性的跨文化研究

IF 4.9 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2024-10-28 DOI: 10.1016/j.chbr.2024.100513

Bdour Alwuqaysi, Alfie Abdul-Rahman, Rita Borgo

Social media has the potential to influence both mental health and family dynamics significantly. However, there is limited research on the relationship between social media usage, mental health, and family functioning. To address this gap, we developed a novel mobile app, Social Brain, and conducted a study with 563 social media users to evaluate their preferences for the app's interface and functionality. The user-preference app design was validated with a separate study involving 65 social media users.

The Social Brain app provides personalized, visually engaging weekly reports on users’ mental health, family functioning, and social media usage patterns. Participants from Saudi Arabia, Malaysia, and the United Kingdom were recruited to use the app for four weeks. A detailed survey conducted with 25 participants revealed significant correlations: mental health was notably associated with marital and employment status, while family functioning was linked to marital status, nationality, employment status, and religion.

Our results indicated a significant decrease in mean mental health scores after using the Social Brain app compared to pre-app usage assessments (2.11 ± 0.49 vs. 25.28 ± 5.72, P < 0.001). This finding highlights the need to view technology as a complement rather than a replacement for traditional mental health approaches. Our study offers valuable insights into the complex relationship between social media usage, mental health, and family functioning, suggesting pathways for future interventions at this intersection.

社交媒体有可能对心理健康和家庭动态产生重大影响。然而，有关社交媒体使用、心理健康和家庭功能之间关系的研究却很有限。为了填补这一空白，我们开发了一款新颖的移动应用程序 "社交大脑"，并对 563 名社交媒体用户进行了研究，以评估他们对应用程序界面和功能的偏好。社交大脑 "应用程序提供个性化、可视化的用户心理健康、家庭功能和社交媒体使用模式周报。我们招募了来自沙特阿拉伯、马来西亚和英国的参与者使用该应用程序，为期四周。我们的结果表明，与使用前的评估结果相比，使用社交大脑应用程序后的平均心理健康得分显著下降（2.11 ± 0.49 vs. 25.28 ± 5.72，P < 0.001）。这一发现强调了将技术视为传统心理健康方法的补充而非替代的必要性。我们的研究为了解社交媒体使用、心理健康和家庭功能之间的复杂关系提供了有价值的见解，并为未来在这一交叉点上的干预措施提出了建议。

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引用次数: 0