Computers in human behavior reports最新文献_第4页

Sleepless and scrolling: How sleep disturbances predict compulsive internet use among adolescents 失眠和滚动：睡眠障碍如何预测青少年强迫性上网

IF 5.8 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-01-16 DOI: 10.1016/j.chbr.2026.100932

Samiha Imrani , Bouzekri Touri , Lucia Romo , Oulmann Zerhouni

Objective

This study examined whether specific sleep disturbances, such as very poor subjective sleep quality, deliberate sleep reduction for internet use, shorter sleep duration, and daytime napping, predict compulsive internet use among Moroccan high school students beyond overall screen time and media use patterns.

Method

A cross-sectional survey was conducted with 334 adolescents (48 % male; ages 14–18) in Casablanca. Compulsive internet use was assessed using the Compulsive Internet Use Scale (CIUS). Sleep-related variables were measured via four dichotomous items. Latent class analyses summarized weekly screen time and media type engagement into covariates. Multiple linear regression and Bayesian model averaging were used to test associations while controlling for age, sex, and media use classes.

Results

Adolescents who reported very poor sleep or deliberately reducing sleep for internet use had significantly higher CIUS scores. Sleeping more than 6 hours provided modest protection in frequentist models, though Bayesian evidence was weak. Daytime napping was not reliably associated with CIUS. Sleep variables remained associated with CIUS scores even after adjusting for age, sex, and latent classes of media use. Female adolescents reported higher CIUS scores than males.

Conclusion

The findings suggest that specific sleep disruptions, rather than overall screen time, are associated with compulsive internet use among adolescents. This study adds cross-cultural data and indicates that enhancing sleep quality may be one potential target, among others, for efforts aiming to reduce problematic digital behaviors in youth.

目的：本研究调查了特定的睡眠障碍，如非常差的主观睡眠质量、故意减少上网时间、较短的睡眠时间和白天午睡，是否可以预测摩洛哥高中生在屏幕时间和媒体使用模式之外的强迫性上网行为。方法对卡萨布兰卡市334名青少年进行横断面调查，其中男性占48%，年龄14-18岁。强迫性网络使用使用强迫性网络使用量表（CIUS）进行评估。睡眠相关的变量通过四个二分项目进行测量。潜在类分析将每周屏幕时间和媒体类型参与总结为协变量。在控制年龄、性别和媒体使用类别的情况下，使用多元线性回归和贝叶斯模型平均来检验相关性。结果报告睡眠非常差或故意减少睡眠以上网的青少年的CIUS得分明显较高。在频率模型中，睡眠超过6小时提供了适度的保护，尽管贝叶斯证据很弱。日间午睡与CIUS的关系并不可靠。即使在调整了年龄、性别和潜在的媒体使用类别后，睡眠变量仍然与CIUS评分相关。女性青少年报告的CIUS得分高于男性。研究结果表明，与青少年强迫性上网有关的是特定的睡眠中断，而不是整体的屏幕时间。这项研究增加了跨文化数据，表明提高睡眠质量可能是一个潜在的目标，其中包括旨在减少青少年有问题的数字行为的努力。

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引用次数: 0

The effect of Satir model-based group intervention on problematic smartphone use among college students: a randomized controlled trial 基于Satir模型的群体干预对大学生智能手机使用问题的影响：一项随机对照试验

IF 5.8 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-01-14 DOI: 10.1016/j.chbr.2026.100935

Ping Yang , Yi Zhou , Shichen Zhang , Linlin Jiang , Jun Qi

Background

Problematic smartphone use is prevalent among youth and negatively impacts their mental health. Interpersonal problems may be a key contributing factor to this problematic smartphone use. To address this issue, a randomized controlled trial was conducted to evaluate the effectiveness of a Satir model-based group intervention.

Methods

The study recruited 74 college students with problematic smartphone use from a university, who were randomly assigned to two groups. After excluding 4 participants due to withdrawal or incomplete data, 70 students (mean age = 18.71 ± 0.90 years) completed the trial, including 21 males and 49 females. Participants were assigned to a Satir model–based group intervention (n = 3 4) or a control group (n = 36) that received no psychological intervention. The experimental group received a 22-day Satir model-based group intervention. The Mobile Phone Addiction Tendency Scale (MPATS) and the College Students' Interpersonal Relationship Comprehensive Diagnostic Scale (CS-IRCDS) were used to assess participants' problematic smartphone use and interpersonal problems at baseline and at baseline and post-intervention.

Results

The intervention led to significant reductions in interpersonal problems and in problematic smartphone use. The core indicators of problematic smartphone use—withdrawal reactions, salience, social comfort, and mood change—were also reduced following the group intervention. Moreover, the reduction in interpersonal problems significantly mediated the relationship between the intervention and decreases in problematic smartphone use and its core symptoms, particularly withdrawal and social comfort.

Conclusion

The Satir model-based group intervention significantly reduced both problematic smartphone use and interpersonal problems, providing valuable insights for both theory and practice.

有问题的智能手机使用在年轻人中很普遍，并对他们的心理健康产生负面影响。人际关系问题可能是导致智能手机使用问题的一个关键因素。为了解决这个问题，进行了一项随机对照试验来评估基于Satir模型的群体干预的有效性。研究人员从一所大学招募了74名使用智能手机有问题的大学生，将他们随机分为两组。在排除4名因退出或资料不完整的受试者后，70名学生（平均年龄= 18.71±0.90岁）完成了试验，其中男性21名，女性49名。参与者被分配到基于Satir模型的干预组（n = 34）和不接受心理干预的对照组（n = 36）。实验组接受22天的基于Satir模型的组干预。采用手机成瘾倾向量表（MPATS）和大学生人际关系综合诊断量表（CS-IRCDS）评估受试者在基线、基线和干预后的智能手机使用问题和人际关系问题。结果干预导致人际关系问题和智能手机使用问题显著减少。有问题的智能手机使用的核心指标——戒断反应、显著性、社交舒适和情绪变化——在小组干预后也有所减少。此外，人际问题的减少显著调节了干预与问题智能手机使用及其核心症状（特别是退缩和社交安慰）减少之间的关系。结论基于Satir模型的群体干预显著降低了智能手机使用问题和人际关系问题，为理论和实践提供了有价值的见解。

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引用次数: 0

Comparing social media users and non-users in Germany: Sense of control, addictive social media use, stress and insomnia symptoms 比较德国的社交媒体用户和非用户：控制感、社交媒体成瘾、压力和失眠症状

IF 5.8 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-01-13 DOI: 10.1016/j.chbr.2026.100933

Julia Brailovskaia , Lena-Marie Precht , Jürgen Margraf

Stress symptoms are a part of everyday life for many people. Some people perceive the situations that cause the symptoms as challenges and respond with functional coping strategies to them. Others tend to intensive use of social media (SM) to escape the negative experiences. The present study investigated whether such behavior could be a dysfunctional coping strategy. We compared people who use SM with those who do not use any form of SM in terms of sense of control, symptoms of stress and insomnia. Moreover, we investigated mechanisms associated with addictive social media use (SMU). Data of 1,718 persons (859 SM users: men: 51.8 %, women: 48.2 %; M_age = 54.32, SD_a_ge = 16.04; 859 non-users: men: 46.0 %, women: 54.0 %; M_age = 54.62, SD_age = 16.56) from the German general population were collected via an online survey. SM users had a significantly lower sense of control, and significantly higher symptoms of stress and insomnia than non-users. In the user group, stress symptoms mediated the association between sense of control and addictive SMU. Furthermore, addictive SMU statistically predicted insomnia symptoms. The found effect sizes were small. The present findings show that engaging in SMU to escape stressful experiences can be a dysfunctional coping strategy. Persons who intensively engage in online activity when they experience a loss of control and increased stress symptoms can be at risk for addictive tendencies and a decline in mental health. Potential ways how to protect this group against the negative effects of online activity are discussed.

压力症状是许多人日常生活的一部分。有些人将引起症状的情况视为挑战，并以功能性应对策略来应对。其他人则倾向于大量使用社交媒体（SM）来逃避负面经历。本研究调查了这种行为是否可能是一种功能失调的应对策略。我们将使用SM的人和不使用任何形式SM的人在控制感、压力症状和失眠方面进行了比较。此外，我们还研究了与成瘾性社交媒体使用（SMU）相关的机制。通过在线调查从德国普通人群中收集了1,718人的数据（859名SM用户：男性：51.8%，女性：48.2%;Mage = 54.32, SDage = 16.04； 859名非SM用户：男性：46.0%，女性：54.0%;Mage = 54.62, SDage = 16.56）。SM使用者的控制感明显低于非SM使用者，压力和失眠症状明显高于非SM使用者。在用户组中，压力症状介导了控制感与成瘾性SMU之间的关联。此外，上瘾的SMU在统计上预测失眠症状。发现的效应量很小。目前的研究结果表明，参与SMU以逃避压力经历可能是一种功能失调的应对策略。在经历失控和压力症状增加时，密集参与在线活动的人可能有上瘾倾向和精神健康下降的风险。讨论了如何保护这一群体免受在线活动的负面影响的潜在方法。

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引用次数: 0

“We cannot incorporate them because …”: Challenges of integrating generative AI into online formative assessments in EFL contexts “我们不能整合它们，因为……”：将生成式人工智能整合到英语背景下的在线形成性评估中的挑战

IF 5.8 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-01-13 DOI: 10.1016/j.chbr.2026.100934

Alireza Maleki

While some prior studies have explored the challenges associated with integrating AI into education, few have undertaken a comprehensive investigation into the barriers to incorporating Generative AI into online formative assessment, especially within English as a Foreign Language (EFL) context. This mixed methods study aims to explore the challenges encountered by EFL teachers in Iran while integrating Generative AI into online formative assessments. A purposive sample of 30 Iranian EFL teachers participated in the study, providing valuable insights. Qualitative data was gathered through focus group discussions, with teachers categorized into three groups based on educational background and teaching context: school, university, and institute. The findings of this study shed light on three primary themes of challenges encountered by the EFL teachers: technical challenges, operational challenges, and ethical and equity-related challenges. Furthermore, in the quantitative phase of the study, a ranking scale was employed to gauge the perceived significance of these challenges. The implications of this research extend to EFL teachers, AI tools developers, policymakers, and teacher trainers. It guides educational systems in identifying support needs, such as infrastructure and training, and informs policy reforms to promote ethical AI integration, enhancing teaching practices and student outcomes in EFL education.

虽然之前的一些研究探讨了将人工智能整合到教育中的挑战，但很少有人对将生成式人工智能整合到在线形成性评估中的障碍进行全面调查，特别是在英语作为外语（EFL）的背景下。这项混合方法研究旨在探讨伊朗英语教师在将生成式人工智能整合到在线形成性评估中所遇到的挑战。有目的的30名伊朗英语教师参与了这项研究，提供了有价值的见解。定性数据通过焦点小组讨论收集，教师根据教育背景和教学环境分为三组：学校、大学和研究所。本研究的结果揭示了英语教师所遇到的挑战的三个主要主题：技术挑战、操作挑战以及道德和公平相关的挑战。此外，在研究的定量阶段，采用排名量表来衡量这些挑战的感知意义。这项研究的意义延伸到英语教师、人工智能工具开发者、政策制定者和教师培训师。它指导教育系统确定支持需求，如基础设施和培训，并为政策改革提供信息，以促进道德人工智能的整合，加强英语教育中的教学实践和学生成果。

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引用次数: 0

Stability through human perception: Technology acceptance models’ robustness across various interaction perspectives and comparable technologies 通过人类感知的稳定性：技术接受模型在各种交互视角和可比较技术中的稳健性

IF 5.8 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-01-08 DOI: 10.1016/j.chbr.2026.100930

Marvin Schittko , Patrick Planing , Patrick Müller

Technology acceptance research has traditionally focused on system design and interaction experience integrated into established frameworks like the Technology Acceptance Model (TAM; Davis, 1985) and the Unified Theory of Acceptance and Use of Technology (UTAUT; Venkatesh et al., 2003). While these models are widely applied to investigate the interaction between humans and technology, critiques have highlighted limitations concerning their generalizability, robustness, and conceptual clarity. This study addresses these challenges by examining the structural strength of TAM and UTAUT across comparable complex technologies and user interaction perspectives: between an active and a passive vignette. Furthermore, it introduces a model integrating Usage Perception (UP), incorporating the broader user perception of system usage, as a possible solution to the emerging vulnerability of traditional technology acceptance frameworks.

A controlled laboratory experiment was conducted in a simulated online environment, featuring two functionally developed AI agents that varied in interaction type and user autonomy. This design allowed direct comparison between active and passive interaction user perspectives and comparable complex technologies across a broad and diverse sample of 311 participants.

The results confirm that while some core predictors remained robust, traditional TAM and UTAUT structures showed inconsistency when disaggregated by interaction perspective and technology use case. In contrast, UP-integrated modelling showed greater path stability, theoretical coherence, and consistent predictive power. This paper offers a refined framework to holistically explain technology acceptance in complex AI systems—by integrating the human perception of system usage.

技术接受研究传统上侧重于将系统设计和交互体验整合到既定框架中，如技术接受模型（TAM; Davis, 1985）和技术接受和使用统一理论（UTAUT; Venkatesh et al., 2003）。虽然这些模型被广泛应用于研究人类与技术之间的相互作用，但批评人士强调了它们在通用性、稳健性和概念清晰度方面的局限性。本研究通过检查TAM和UTAUT在可比复杂技术和用户交互方面的结构强度来解决这些挑战：在主动和被动小场景之间。此外，它引入了一个集成使用感知（UP）的模型，结合了更广泛的用户对系统使用的感知，作为传统技术接受框架中新出现的漏洞的可能解决方案。在一个模拟的在线环境中进行了一项受控实验室实验，实验采用了两个功能成熟的人工智能代理，它们在交互类型和用户自主权方面各不相同。该设计允许直接比较主动和被动交互的用户视角，以及311个广泛而多样的参与者的可比复杂技术。结果证实，虽然一些核心预测仍然是健壮的，但传统的TAM和UTAUT结构在按交互视角和技术用例分解时显示出不一致。相比之下，up集成模型显示出更高的路径稳定性、理论一致性和一致的预测能力。本文提供了一个完善的框架，通过整合人类对系统使用的感知，从整体上解释复杂人工智能系统中的技术接受。

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引用次数: 0

The moderating effects of executive functions: A multi-level analysis of daily stress and problematic social media use 执行功能的调节作用：日常压力和有问题的社交媒体使用的多层次分析

IF 5.8 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-01-06 DOI: 10.1016/j.chbr.2025.100917

Wee Qin Ng, Hwajin Yang

Mixed findings on the relationship between daily stress and social media use suggest the presence of moderators that buffer this link. Previous longitudinal studies, with assessment intervals from 1 month to 1 year, may not accurately capture daily fluctuations in stress and social media use. To address this gap, we conducted a fine-grained, temporally sensitive 7-day daily-diary longitudinal study investigating the dynamic within-person and between-person associations between daily stress, problematic social media use, and objective screen time. Using a theory-driven approach, we examined whether executive functions (EF)—a set of cognitive processes crucial for goal-directed behaviors—moderate the link between daily stress and problematic social media use. Two hundred fifty-three college students completed daily measures of stress and problematic social media use and provided daily social media screen time using built-in applications. Participants also completed nine cognitive tasks measuring the three EF components: inhibition, updating, and shifting. Multilevel modeling revealed that participants’ average stress predicted higher levels of problematic social media use. Importantly, inhibition moderated the relation between daily stress and daily social media screen time, suggesting that individuals with greater inhibition better regulated their social media screen time in response to stress. Daily stress was not significantly related to both daily social media screen time or daily problematic social media use, and EF did not moderate the relation between daily stress and daily problematic social media use. These findings underscore the crucial protective role of inhibition in buffering stress-related increases in social media use.

关于日常压力和社交媒体使用之间关系的不同发现表明，存在缓冲这种联系的调节因子。以前的纵向研究，评估间隔从1个月到1年不等，可能无法准确捕捉压力和社交媒体使用的日常波动。为了解决这一差距，我们进行了一项细粒度的、时间敏感的7天每日日记纵向研究，调查日常压力、有问题的社交媒体使用和客观屏幕时间之间的动态人际关系。使用理论驱动的方法，我们研究了执行功能（EF）——一组对目标导向行为至关重要的认知过程——是否调节了日常压力和有问题的社交媒体使用之间的联系。253名大学生完成了压力和社交媒体使用问题的每日测量，并使用内置应用程序提供了每日社交媒体屏幕时间。参与者还完成了九项认知任务，测量EF的三个组成部分：抑制、更新和转移。多层次模型显示，参与者的平均压力预示着他们使用社交媒体的程度会更高。重要的是，抑制调节了日常压力和日常社交媒体屏幕时间之间的关系，这表明抑制程度较高的个体在应对压力时更好地调节了他们的社交媒体屏幕时间。日常压力与每日社交媒体屏幕时间或每日有问题的社交媒体使用均无显著相关，EF并没有调节每日压力与每日有问题的社交媒体使用之间的关系。这些发现强调了抑制在缓冲与压力相关的社交媒体使用增加方面的关键保护作用。

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引用次数: 0

Cultivating iranian EFL learners’ grammatical knowledge through online cumulative group-dynamic assessment 通过在线累积小组动态评估培养伊朗英语学习者的语法知识

IF 5.8 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-01-05 DOI: 10.1016/j.chbr.2025.100918

Azam Naserpour, Afsheen Rezai

While considerable empirical findings lend support to the efficacy of group-dynamic assessment (G-DA), grounded in Vygotsky's concept of the Zone of Proximal Development (ZPD), in fostering English as a foreign language (EFL) learning in conventional classroom settings, the effectiveness of cumulative G-DA, (a version of G-DA) in online contexts has largely remained underexplored. To address this lacuna, this study investigated the effects of online cumulative G-DA on cultivating pre-intermediate EFL learners' grammatical knowledge (GK) among Iranian EFL learners. A cohort of 75 EF L learners, initially homogenized using a key English test (KET), were selected and randomly assigned to either an experimental group (n = 22) or a control group (n = 25). They went through a structured procedure including a pre-test, a treatment phase lasting 16 1-h sessions, a post-test, and a delayed post-test. The results of a repeated-measures ANCOVA revealed that the experimental group outperformed the control group on the post-test in terms of gains in GK. Furthermore, the results demonstrated a statistically significant difference between the two groups in terms of GK gains on the delayed post-test. The findings indicate that online cumulative G-DA can be considered an efficient alternative teaching practice for promoting EFL learners' GK. The study concludes by offering a range of theoretical and pedagogical implications for different stakeholders in EFL education.

基于维果茨基最近发展区（ZPD）概念的大量实证研究结果支持群体动态评估（G-DA）在传统课堂环境中促进英语作为外语（EFL）学习的有效性，但累积G-DA （G-DA的一个版本）在在线环境中的有效性在很大程度上仍未得到充分探索。为了解决这一空白，本研究调查了在线累积G-DA对伊朗英语学习者培养中级前英语学习者语法知识的影响。75名英语学习者被随机分为实验组（n = 22）和对照组（n = 25），这些学习者最初使用关键英语测试（KET）进行同质化。他们经历了一个结构化的程序，包括一个预测试，一个持续16个1小时的治疗阶段，一个后测试和一个延迟的后测试。重复测量的ANCOVA结果显示，实验组在GK的增益方面优于对照组。此外，结果显示两组在延迟后测的GK增益方面具有统计学显著差异。研究结果表明，在线累积G-DA可以被认为是一种有效的促进英语学习者GK的替代教学实践。最后，本研究为英语教育中的不同利益相关者提供了一系列理论和教学启示。

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引用次数: 0

Do individuals with autism spectrum disorder not experience the uncanny valley? A psychological experiment and feature analysis using human and robot faces 自闭症谱系障碍患者不会经历恐怖谷吗？人与机器人面部的心理实验与特征分析

IF 5.8 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-01-05 DOI: 10.1016/j.chbr.2026.100927

Lu Li , Taku Imaizumi , Natsuki Nishikawa , Hirokazu Kumazaki , Kazuhiro Ueda

Recently, there have been growing expectations and attempts to use robots in the therapeutic treatment of individuals with autism spectrum disorder (ASD). However, the uncanny valley effect, which refers to the discomfort or eeriness people feel when robots appear almost human, but not quite realistic, poses a challenge when designing such robots. Previous studies have been inconsistent regarding how individuals with ASD perceive the uncanny valley in response to agent faces. It is important to use images of robots to determine whether the uncanny valley occurs for individuals with ASD and whether robots can be used for their therapy. Therefore, we used robot and human facial images as experimental stimuli to investigate the uncanny valley effect in typically developing individuals and those with ASD. Thirty-two individuals with ASD (30 men, 2 women; 32 analyzed) and 47 typically developing individuals (31 men, 14 women, 2 unspecified; 31 analyzed) participated in the study. The results show that the typically developing individuals exhibited the uncanny valley effect, whereas the individuals with ASD showed a less distinct effect. Those with ASD were less likely to perceive eeriness in face images that were ambiguous in classification as human or robot, leading to a reduced sense of eeriness. Furthermore, an analysis of face image features suggested that individuals with ASD placed more emphasis on local information rather than global information to determine their likability of the face images, which explains their results well. Finally, the therapeutic application of robots for individuals with ASD is discussed.

最近，在自闭症谱系障碍（ASD）患者的治疗中使用机器人的期望和尝试越来越多。然而，“恐怖谷效应”（uncanny valley effect）给设计此类机器人带来了挑战。“恐怖谷效应”指的是当机器人看起来和人类很像，但却不太真实时，人们会感到不舒服或怪异。以前的研究一直不一致，关于自闭症患者如何感知恐怖谷对代理人面孔的反应。利用机器人的图像来确定恐怖谷是否发生在自闭症患者身上，以及机器人是否可以用于他们的治疗，这一点很重要。因此，我们使用机器人和人类面部图像作为实验刺激来研究正常发育个体和ASD患者的恐怖谷效应。32名ASD患者（30名男性，2名女性；32名被分析）和47名正常发育个体（31名男性，14名女性，2名未确定；31名被分析）参与了这项研究。结果表明，正常发育个体表现出恐怖谷效应，而ASD个体表现出不明显的恐怖谷效应。那些患有自闭症谱系障碍的人不太可能从人类或机器人的分类模糊的面部图像中感知到怪异，从而减少了怪异感。此外，对面部图像特征的分析表明，ASD患者在决定他们对面部图像的喜爱程度时更强调局部信息，而不是全局信息，这很好地解释了他们的结果。最后，讨论了机器人在自闭症个体治疗中的应用。

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引用次数: 0

Smartphone based usage based insurance implementation feasibility in Saudi Arabia insurance market: A mixed methods assessment of technological readiness and stakeholder perceptions 沙特阿拉伯保险市场基于智能手机使用的保险实施可行性：技术准备和利益相关者看法的混合方法评估

IF 5.8 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-01-02 DOI: 10.1016/j.chbr.2026.100928

Khaled Mili, Shaykhah Abdullah Aldossari

This study evaluates the feasibility of implementing smartphone-based Usage-Based Insurance (UBI) in Saudi Arabia's insurance market through sequential explanatory mixed-methods research combining surveys and expert interviews. Data was collected from 503 public respondents via structured survey (35 Likert-scale items across 8 constructs), 93 industry specialists via expert survey (40 items across 8 constructs), and 15 senior professionals via semi-structured interviews. Public survey results revealed that 93 % of respondents possess automobile insurance, with moderate-to-positive UBI perceptions across constructs (means 3.54-4.02 on 5-point scales). Statistical analysis demonstrated significant negative association between privacy concerns and behavioral intention (χ²(4) = 23.67, p < 0.001; r = −0.584, p < 0.001), indicating privacy protection as critical implementation prerequisite. Younger respondents (18-35 years) exhibited significantly higher acceptance than older cohorts (F(4,498) = 8.47, p < 0.001). Expert survey factor analysis identified three implementation readiness dimensions: Technological Infrastructure and Market Capability (27.5 % variance), Regulatory Framework and Policy Support (22.4 % variance), and Market Acceptance and Strategic Outlook (17.6 % variance). Expert interviews through thematic analysis revealed primary implementation barriers: regulatory constraints (68.4 % prevalence), IT security deficits (61.3 %), and limited public awareness (58.1 %). Readiness component assessment identified cybersecurity infrastructure as lowest-rated dimension (M = 2.97, SD = 1.03) requiring priority intervention. The study contributes first comprehensive empirical assessment of smartphone-based UBI feasibility in Gulf contexts, providing actionable insights for stakeholders while advancing theoretical understanding of technology adoption in culturally distinct emerging insurance markets.

本研究通过结合调查和专家访谈的顺序解释性混合方法研究，评估了在沙特阿拉伯保险市场实施基于智能手机的使用保险（UBI）的可行性。通过结构化调查（8个构式中35个李克特量表项目）收集了503名公众受访者的数据，通过专家调查（8个构式中40个项目）收集了93名行业专家的数据，通过半结构化访谈收集了15名高级专业人士的数据。公众调查结果显示，93%的受访者拥有汽车保险，在各个结构中对UBI的看法为中等至积极（5分制的平均值为3.54-4.02）。统计分析显示，隐私问题与行为意愿呈显著负相关(χ2(4) = 23.67, p < 0.001；R =−0.584,p < 0.001)，表明隐私保护是关键的实施前提。年轻的受访者（18-35岁）比年长的受访者表现出明显更高的接受度（F(4,498) = 8.47, p < 0.001）。专家调查因素分析确定了三个实施准备度维度：技术基础设施和市场能力（27.5%差异），监管框架和政策支持（22.4%差异），市场接受度和战略前景（17.6%差异）。专家访谈通过专题分析揭示了主要的实施障碍：监管约束（68.4%）、IT安全缺陷（61.3%）和有限的公众意识（58.1%）。准备度组件评估将网络安全基础设施确定为需要优先干预的最低评级维度（M = 2.97, SD = 1.03）。该研究首次对海湾地区基于智能手机的全民基本收入可行性进行了全面的实证评估，为利益相关者提供了可操作的见解，同时推进了对文化独特的新兴保险市场采用技术的理论理解。

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引用次数: 0

Balancing the double-edged sword of artificial Intelligence: Job demands, resources, and Work–Life balance 平衡人工智能的双刃剑：工作需求、资源和工作与生活的平衡

IF 5.8 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2025-12-31 DOI: 10.1016/j.chbr.2025.100924

José Carlos Pinho , Alexandra Fontes , Gina Gaio Santos

Drawing on the Job Demands–Resources (JD–R) framework, this study develops and tests a model in which employee-AI collaboration and AI awareness jointly influence work engagement and work–life balance (WLB). Using survey data from 280 professionals working in AI-enabled workplaces, we examine mediation and moderation effects through PLS-SEM and identify key conditions necessary for specific outcomes using Necessary Condition Analysis (NCA).

The results show that Employee–AI collaboration positively predicts both work engagement and WLB, with work engagement partially mediating this relationship. AI awareness is negatively related to engagement, yet it positively moderates the AI collaboration–engagement link, indicating that collaboration can transform perceived technological threat into a motivational trigger. These findings advance JD–R theory by demonstrating how digital demands may shift from hindrance to challenge under resource-rich conditions and by positioning AI as a double-edged element of work design. The study contributes to research on digital transformation by clarifying the mechanisms through which human–AI interaction influences employee well-being beyond performance outcomes.

利用工作需求-资源（JD-R）框架，本研究开发并测试了一个模型，其中员工-人工智能协作和人工智能意识共同影响工作投入和工作-生活平衡（WLB）。利用来自280名在人工智能工作场所工作的专业人士的调查数据，我们通过PLS-SEM检查了中介和调节效应，并使用必要条件分析（NCA）确定了特定结果所需的关键条件。结果表明，员工-人工智能协作对工作敬业度和工作负载都有正向预测作用，工作敬业度在其中起部分中介作用。人工智能意识与参与负相关，但它积极调节人工智能合作与参与的联系，表明合作可以将感知到的技术威胁转化为动机触发器。这些发现通过展示数字需求如何在资源丰富的条件下从障碍转变为挑战，以及将人工智能定位为工作设计的双刃剑元素，推进了JD-R理论。该研究通过阐明人机交互影响员工幸福感的机制，为数字化转型的研究做出了贡献。

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