Computers in human behavior reports最新文献

Topic-sensitive differentiation and algorithmic equivalence on short-form video platforms: A systematic review of visual frameworks 短视频平台上的话题敏感分化和算法等价：视觉框架的系统回顾

IF 5.5 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-08-01 Epub Date: 2026-07-17 DOI: 10.1016/j.chbr.2026.101214

Emerson Johnston, Sunny Xun Liu

The meteoric rise of short-form video platforms has fundamentally transformed digital media consumption patterns, with content recommendation algorithms serving as powerful arbiters of information dissemination. These algorithms curate vast arrays of content—from entertainment to news to political discourse—raising critical questions about their uniform approach to content recommendation. Through a systematic review of 148 algorithmic models from 123 academic studies published between 2015 and 2025, we investigate how recommendation systems handle different types of content on platforms like TikTok, YouTube Shorts, and Instagram Reels. Our analysis introduces a novel theoretical framework distinguishing between algorithmic equivalence—the practice of applying identical recommendation strategies across all content types regardless of thematic differences—and topic-sensitive differentiation—where systems adjust recommendation strategies based on content themes (e.g., distinguishing political from entertainment content).

We find that 142 of 148 models (95.9%) exhibit algorithmic equivalence, suggesting a systemic lack of content-type differentiation in proposed or hypothesized recommendation strategies. Our findings suggest that the prevailing one-size-fits-all algorithmic approach may obscure critical public-interest content, and shape user perceptions in unintended ways. The findings highlight a critical need for more adaptive and context-aware recommendation systems.

短视频平台的迅速崛起从根本上改变了数字媒体的消费模式，内容推荐算法成为信息传播的强大仲裁者。这些算法管理着大量的内容——从娱乐到新闻再到政治话语——提出了关于它们统一的内容推荐方法的关键问题。通过对2015年至2025年间发表的123项学术研究中的148个算法模型的系统回顾，我们研究了推荐系统如何处理TikTok、YouTube Shorts和Instagram Reels等平台上不同类型的内容。我们的分析引入了一种新的理论框架来区分算法等效——在所有内容类型中应用相同推荐策略的实践，而不考虑主题差异——和主题敏感差异化——系统根据内容主题调整推荐策略（例如，区分政治内容和娱乐内容）。我们发现148个模型中有142个（95.9%）表现出算法等价，这表明在提出的或假设的推荐策略中系统性地缺乏内容类型区分。我们的研究结果表明，流行的一刀切算法方法可能会模糊关键的公共利益内容，并以意想不到的方式塑造用户的看法。研究结果强调了对更具适应性和上下文感知的推荐系统的迫切需求。

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引用次数: 0

A scoping review of survey questions assessing online hate speech 对评估网络仇恨言论的调查问题进行范围审查

IF 5.5 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-08-01 Epub Date: 2026-07-20 DOI: 10.1016/j.chbr.2026.101212

Vasja Vehovar, Živa Šubelj, Andraž Petrovčič, Jošt Bartol

Hate speech refers to negative communication that targets individuals or groups based on their characteristics (e.g. ethnicity, sexual orientation). The rise of digital communication has amplified its prevalence, making online hate speech (OHS) a pressing societal challenge that requires broad research perspectives and diverse methodological approaches. Survey research is particularly valuable for exploring OHS-related experiences, perceptions, and attitudes among victims, perpetrators, and the general public. However, no comprehensive literature review has yet examined the survey instruments used in OHS research. This study addresses this gap through a scoping review of 127 studies comprising 579 survey questions. The results revealed limited use of probability sampling, underrepresentation of studies outside the Global North, strong concentration in a few national contexts, lack of platform-specific analyses, and insufficient attention to older populations. With respect to survey questions, methodological limitations were identified in relation to question types, measurement scales, wording clarity, and layout formats, as well as an overall shortage of methodological rigour. Regarding target characteristics, questions often referred to broad categories, lacking comprehensiveness and specificity. In terms of content, the open-coding process identified 11 OHS topics. These topics mostly focused on direct perceptions and experiences, while less attention was given to the underlying drivers and civic consequences of OHS. The findings underscore the need for developing standardized survey instruments. To support this aim, the OHS survey questions were additionally compiled into a consolidated database to facilitate future research.

仇恨言论是指基于个人或群体的特征（如种族、性取向）而针对他们的负面沟通。数字通信的兴起扩大了其普遍性，使在线仇恨言论（OHS）成为一项紧迫的社会挑战，需要广泛的研究视角和多样化的方法方法。调查研究对于探索与职业健康安全有关的经验、观念和受害者、肇事者和一般公众的态度特别有价值。然而，目前还没有全面的文献综述对职业健康安全研究中使用的调查工具进行了研究。本研究通过对包含579个调查问题的127项研究的范围审查来解决这一差距。结果显示，概率抽样的使用有限，全球北方以外的研究代表性不足，在少数国家背景下的高度集中，缺乏特定平台的分析，以及对老年人口的关注不足。关于调查问题，在问题类型、测量尺度、措辞清晰性和布局格式方面确定了方法学上的局限性，以及方法学严谨性的总体不足。针对目标特征，问题往往涉及大类，缺乏全面性和专一性。在内容方面，开放编码过程确定了11个职业健康安全主题。这些主题主要集中在直接的感知和经验上，而对职业健康和卫生的潜在驱动因素和公民后果的关注较少。调查结果强调了开发标准化调查工具的必要性。为了支持这一目标，职业健康和卫生调查的问题被另外编入一个综合数据库，以方便今后的研究。

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引用次数: 0

Smartphone engagement and nomophobia in cognitively diverse older adults 认知多样化老年人的智能手机使用和无手机恐惧症

IF 5.5 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-08-01 Epub Date: 2026-07-23 DOI: 10.1016/j.chbr.2026.101215

Margi Engineer, Stephen Becker, Xiang Xiao, Rain Michaels, Amanda Lazar, Emma Dixon

With the anticipated increase in individuals who are diagnosed with Mild Cognitive Impairment (MCI) and dementia in the coming decades, there is a growing need for interventions to better support these population. Prior research has demonstrated the potential of smartphone apps facilitating interventions, such as providing cognitive training, social engagement, and health tracking. While prior work has demonstrated that people with MCI and dementia are using smartphones, the success of smartphone-based interventions will depend on the extent to which this population engage with and relies upon their smartphones. In this manuscript, we report on a survey study, designed in collaboration with two individuals living with dementia, that compares the self-reported frequency of perceived smartphone use, applications used, and nomophobia - the fear caused by not being able to use one’s phone - of older adult participants with and without a self-reported medical diagnosis of MCI or dementia. Findings indicate similar applications used and frequency of perceived smartphone use between these groups, though participants with a self-reported diagnosis of MCI or dementia reported significantly higher nomophobia. These findings challenge deficit-based perspectives in HCI aging research and underscore the potential for smartphone-based interventions to support this population.

随着预计在未来几十年被诊断为轻度认知障碍（MCI）和痴呆症的个体的增加，越来越需要干预措施来更好地支持这些人群。先前的研究已经证明了智能手机应用程序促进干预的潜力，例如提供认知训练、社交参与和健康跟踪。虽然先前的研究表明，患有轻度认知障碍和痴呆症的人正在使用智能手机，但基于智能手机的干预措施的成功将取决于这些人使用智能手机的程度和依赖程度。在这份手稿中，我们报告了一项调查研究，该研究是与两名痴呆症患者合作设计的，比较了有和没有自我报告的MCI或痴呆症医学诊断的老年人参与者自我报告的感知智能手机使用频率、应用程序使用频率和无手机恐惧症（因无法使用手机而引起的恐惧）。研究结果表明，这两组人使用的应用程序和使用智能手机的频率相似，尽管自我报告诊断为轻度认知障碍或痴呆的参与者报告的无手机恐惧症明显更高。这些发现挑战了HCI老化研究中基于缺陷的观点，并强调了基于智能手机的干预措施支持这一人群的潜力。

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引用次数: 0

Segmenting consumers through unsupervised machine learning and the theory of planned behavior: Insights for digital commerce in Bangladesh 通过无监督机器学习和计划行为理论对消费者进行细分：对孟加拉国数字商务的见解

IF 5.5 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-08-01 Epub Date: 2026-07-30 DOI: 10.1016/j.chbr.2026.101237

MD. Shahriar Bin Nazmul, Md Shawmoon Azad, M.R.C. Mahdy

Social-media commerce increasingly shapes how consumers evaluate sellers, respond to others, and transact through digital platforms, yet psychologically grounded segmentation remains limited in emerging markets. This exploratory study integrates the Theory of Planned Behavior (TPB) with unsupervised machine learning to identify patterns of social-commerce engagement among 266 Bangladeshi social-media users. Twelve standardized items measuring TPB constructs (Attitude, Subjective Norms, and Perceived Behavioral Control) showed acceptable internal consistency (Cronbach's α = 0.721–0.755) and were analyzed using K-means clustering. Cluster solutions were evaluated using Elbow/WCSS, Silhouette, Davies–Bouldin, and Calinski–Harabasz indices. A theory-informed three-cluster solution was retained for behavioral interpretability. The segments comprised Moderate Engagement (56.8%), High Engagement (22.2%), and Low Engagement/Resistant (21.1%) consumers. The results demonstrate that high-engagement consumers are highly responsive to promotions, peer validation, and social-media purchasing, while moderate-engagement consumers show conditional and selective participation. Low-engagement/resistant consumers exhibit limited trust, weaker social influence, and lower confidence in completing purchases through social-media platforms. The findings advance understanding of human behavior in computer-mediated commerce and support segment-sensitive communication strategies in Bangladesh. More broadly, the segments show how consumers communicate trust, respond to peer influence, and exercise control on social-commerce platforms.

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引用次数: 0

A model of cyber thinking behaviour using experiential learning in robotics education 机器人教育中使用体验式学习的网络思维行为模型

IF 5.5 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-08-01 Epub Date: 2026-08-08 DOI: 10.1016/j.chbr.2026.101229

Noridayu Adnan, Siti Norul Huda Sheikh Abdullah, Raja Jamilah Raja Yusof, Noor Faridatul Ainun Zainal, Elaheh Yadegaridehkordi, Nazrul Anuar Nayan

STEM education is growing worldwide, but students often find it hard to engage with because the subjects seem complex. This study introduces a new model to develop students' computational and adversarial thinking skills through hands-on experiences (learning behaviour) and emotion management, based on the Matsuo–Nagata experiential learning approach. After verifying the model's components through focus group discussions with experts, 131 teachers were given a questionnaire to validate the developed model, supported by Partial Least Squares–Structural Equation Modelling analysis. A pilot test was conducted with approximately 116 students and 25 teachers. After expert reviews and surveys with teachers and students, the model, namely the Cyber Thinking Behavioural Model, was tested and comprises four key parts: expected and unexpected experiences, emotion management, cyber thinking, and computational reflection. It promotes learning through robot exploration, reflection, teamwork, curiosity, and problem-solving to suggest short-term cybersecurity skills. The results are consistent with the view that integrating experiential learning with cyber thinking (a combination of computational and adversarial thinking) significantly enhances students' readiness to face cyber-enabled challenges while making STEM learning more engaging and meaningful, positioning the Cyber Thinking Behavioural Model as a practical framework for embedding cybersecurity awareness into school robotics education.

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引用次数: 0

The psychological behaviour of users in open banking: Advancing the tri-dimensional security framework 开放银行中用户的心理行为：推进三维安全框架

IF 5.5 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-08-01 DOI: 10.1016/j.chbr.2026.101228

Cristiano Wilson, Carlos Tam

Despite the rapid adoption of open banking, user security behaviour remains insufficiently understood, creating critical vulnerabilities within interconnected financial ecosystems. While open banking enables secure data sharing and customer-centred financial innovation, it also increases exposure to cyber threats. Existing research has largely examined technological safeguards, regulation, and security behaviour independently, giving limited attention to how behavioural intention and multidimensional trust shape user security behaviour within open banking ecosystems. This study examines the interrelationship between multidimensional trust, behavioural intention, and user security behaviour in open banking environments. Drawing upon the theory of planned behaviour and the network of trust in information systems, a mixed-methods approach was employed, combining 204 survey responses from UK open banking users with eight semi-structured interviews. The findings show that both attitude and perceived behavioural control significantly and positively predict behavioural intention, while behavioural intention strongly predicts security behaviour within the theory of planned behaviour framework. Overall trust exhibits a small but statistically significant negative moderating effect on the attitude–behavioural intention relationship. These results indicate that users’ security behaviour in open banking ecosystems is primarily driven by behavioural intention, which is shaped by favourable attitudes and perceived behavioural control. The study advances the Tri-dimensional security framework by suggesting that cyber resilience in open banking emerges from the interaction between behavioural intention and multidimensional trust, offering a more comprehensive account of security behaviour in digital financial systems.

尽管开放式银行迅速普及，但用户安全行为仍未得到充分理解，这在相互关联的金融生态系统中造成了严重的漏洞。尽管开放式银行能够实现安全的数据共享和以客户为中心的金融创新，但它也增加了面临网络威胁的风险。现有的研究主要是独立地考察了技术保障、监管和安全行为，对开放式银行生态系统中行为意图和多维信任如何影响用户安全行为的关注有限。本研究考察了开放银行环境中多维信任、行为意向和用户安全行为之间的相互关系。利用计划行为理论和信息系统中的信任网络，采用混合方法，将来自英国开放银行用户的204份调查回复与8份半结构化访谈相结合。研究结果表明，在计划行为理论框架下，态度和感知行为控制对行为意向具有显著正向预测作用，而行为意向对安全行为具有显著预测作用。整体信任对态度-行为意向的负向调节作用虽小，但具有统计学意义。这些结果表明，在开放式银行生态系统中，用户的安全行为主要是由行为意愿驱动的，而行为意愿是由有利的态度和感知到的行为控制所塑造的。该研究提出，开放银行的网络弹性来自行为意愿和多维信任之间的相互作用，从而推进了三维安全框架，为数字金融系统中的安全行为提供了更全面的解释。

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引用次数: 0

Transforming public administration workflows with multi-agent AI: A human-in-the-loop knowledge orchestration framework 用多代理人工智能转换公共管理工作流：人在循环中的知识编排框架

IF 5.5 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-08-01 Epub Date: 2026-08-14 DOI: 10.1016/j.chbr.2026.101253

Giuseppe Prencipe, Alessandro Tommasi, Cesare Zavattari, Giovacchino Tesi, Lorenzo Storchi, Kussai Shahin

Public administrations face increasing pressure to manage large volumes of institutional knowledge while ensuring transparency, accountability, and timely responses to citizen and council inquiries. This paper presents CARE (Council Agents for Response and Engagement), a human-in-the-loop multi-agent artificial intelligence system designed to support knowledge-intensive workflows within the Autonomous Province of Trento. CARE orchestrates specialized AI agents through a stateful workflow architecture, integrating hybrid retrieval-augmented generation over a corpus of more than 160,000 administrative documents.

Unlike conventional automation approaches, the system models existing governance processes, preserves institutional responsibility boundaries, and ensures traceable document grounding in response generation. Deployed in production for six months and used by 30 administrative staff members, CARE achieved a 70% reduction in response preparation time while maintaining human oversight and institutional control.

The study contributes a socio-technical architecture for AI-assisted public administration, demonstrating how multi-agent orchestration, human-in-the-loop design, and hybrid knowledge retrieval can enhance institutional knowledge reuse without compromising accountability. Implications for digital transformation, AI governance, and responsible adoption of generative AI in the public sector are discussed.

公共行政部门面临越来越大的压力，既要管理大量的机构知识，又要确保透明度、问责制，并及时回应公民和理事会的询问。本文介绍了CARE (Council Agents for Response and Engagement)，这是一个人在循环中的多智能体人工智能系统，旨在支持特伦托自治省的知识密集型工作流程。CARE通过有状态工作流架构编排专门的AI代理，在超过160,000个管理文档的语料库上集成混合检索增强生成。与传统的自动化方法不同，该系统为现有的治理过程建模，保留机构责任边界，并确保响应生成中的可跟踪文档基础。CARE在生产中部署了6个月，由30名管理人员使用，在保持人力监督和机构控制的同时，将响应准备时间缩短了70%。该研究为人工智能辅助公共管理提供了一个社会技术架构，展示了多主体编排、人在环设计和混合知识检索如何在不损害问责制的情况下增强机构知识重用。讨论了数字转型、人工智能治理和公共部门负责任地采用生成式人工智能的影响。

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引用次数: 0

Feasibility and acceptance of a virtual reality-based program for cognitive and physical training in older adults with cognitive complaints: A pilot randomized controlled trial 基于虚拟现实的老年人认知和体能训练项目的可行性和可接受性：一项随机对照试验

IF 5.5 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-08-01 DOI: 10.1016/j.chbr.2026.101231

Sara Arlati, Flaminia Franchini, Andrea Zangiacomi, Simona Gabriella Di Santo

Virtual Reality (VR)– based interventions have emerged as promising tools to support cognitive health in older adults; however, evidence on their clinical impact and real-world acceptability remains mixed. This study investigated the feasibility, acceptance, and preliminary effectiveness of a 12-week program using a VR system to provide cognitive stimulation (CS), physical exercise (PE), or their combination (CS + PE) to older adults with cognitive complaints. Eighty community-dwelling older adults with MCI or SCD were enrolled in the study and allocated via block-randomization to CS, PE, CS + PE, or a control group. Participants in the intervention arms trained twice weekly for 12 weeks within VR-based environments simulating everyday activities (supermarket tasks, street-crossings, and park cycling). Cognitive, functional, and emotional measures were collected at baseline, post-intervention, and four-month follow-up. Acceptance and user experience were assessed through questionnaires and semi-structured interviews at the end of the training. Results revealed that the cognitive status remained globally stable in all groups, even if CS and CS + PE showed positive trends in long-term verbal memory compared to controls, persisting at follow-up. PE alone did not result in any cognitive improvements. User experience was positive: participants valued ecological scenarios, clarity of interactions, and perceived cognitive challenge. Reported barriers included boredom, task length, and insufficient customization. While cognitive effects were limited, users perceived meaningful benefits in attention, daily functioning, and self-efficacy. Future work should include larger samples and possibly individuals with more severe cognitive impairment. Our results suggest focusing on customization and enhanced motivational features to promote higher participants’ engagement.

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引用次数: 0

Would you rely on an eerie agent? A systematic review of the impact of the uncanny valley effect on trust in human-agent interaction 你会相信一个怪异的代理人吗？恐怖谷效应对人-代理互动中信任影响的系统回顾

IF 5.5 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-08-01 Epub Date: 2026-07-22 DOI: 10.1016/j.chbr.2026.101220

Ahdiyeh Alipour, Tilo Hartmann, Maryam Alimardani

Trust is a fundamental component of human-agent interaction. As artificial agents become more common in daily life, it is essential to understand how people perceive and trust them. One key challenge is the Uncanny Valley Effect (UVE), in which increasingly humanlike agents can appear eerie or aversive. Despite growing interest in both trust and the UVE, research varies widely in how these concepts are defined and measured, making it unclear when and how the UVE affects trust. A systematic account of their relationship is therefore still missing. This review examines the impact of the UVE on human trust in artificial agents, broadly conceptualized as a willingness to rely on an agent based on beliefs in its competence, good intentions, and reliability, even in situations where such reliance involves uncertainty or risk. Moreover, it identifies methodological patterns, limitations, and gaps in the empirical literature. Following PRISMA guidelines, a systematic search identified 53 empirical studies that investigated UVE-related constructs alongside trust or trust-related outcomes. We analyzed these studies using a structured set of categories, including agent types, interaction forms, methodological approaches, measurement strategies, and key findings. The review shows that most studies rely on static images or hypothetical scenarios with limited real-time interaction, and that the majority use subjective trust measures vulnerable to bias. We further propose best-practice criteria for empirically investigating the UVE and its effects on trust. As the first systematic attempt to map this intersection, the review clarifies the current evidence base and provides a foundation for future research.

信任是人-代理交互的基本组成部分。随着人工智能在日常生活中变得越来越普遍，了解人们如何感知和信任它们是至关重要的。一个关键的挑战是恐怖谷效应（UVE），在这种情况下，越来越像人类的智能体可能会显得怪异或令人厌恶。尽管人们对信任和UVE的兴趣越来越大，但研究在如何定义和衡量这些概念方面存在很大差异，这使得人们不清楚UVE何时以及如何影响信任。因此，对它们之间关系的系统描述仍然缺失。本综述考察了UVE对人类对人工代理信任的影响，广义的概念是基于对其能力、良好意图和可靠性的信念而依赖代理的意愿，即使在这种依赖涉及不确定性或风险的情况下。此外，它还确定了实证文献中的方法模式、局限性和差距。遵循PRISMA指南，系统搜索确定了53项实证研究，这些研究调查了与uve相关的构建以及信任或信任相关的结果。我们使用一套结构化的分类来分析这些研究，包括代理类型、交互形式、方法方法、测量策略和主要发现。回顾显示，大多数研究依赖于静态图像或假想场景，实时交互有限，并且大多数使用易受偏见影响的主观信任措施。我们进一步提出了实证调查UVE及其对信任的影响的最佳实践标准。作为第一次系统地绘制这一交叉点的尝试，该综述澄清了现有的证据基础，并为未来的研究提供了基础。

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引用次数: 0

Hope or fear? Unpacking the emotional architecture of personalized pension projections in Hong Kong 希望还是恐惧？剖析香港个性化养老金预测的情感架构

IF 5.5 Q1 PSYCHOLOGY, EXPERIMENTAL

Computers in human behavior reports

Pub Date : 2026-08-01 Epub Date: 2026-07-29 DOI: 10.1016/j.chbr.2026.101225

Alex Yue Feng Zhu, Kee Lee Chou

Amid Hong Kong's rapidly aging population, personalized pension projection (PPP) offers a low-cost way to spur retirement planning—but through hope or fear? This three-arm randomized controlled trial tested two designs among 304 middle-aged working adults tracked over two years. Drawing on affect-as-information theory, the one-component PPP (optimistic wealth trajectories) activated broaden-and-build processes: it significantly boosted the family-relationships dimension of perceived happiness in old age, extended future time perspectives, and increased delayed gratification—psychological resources that support sustained saving. In contrast, the two-component PPP (wealth projection plus explicit savings gap), intended to trigger protection motivation via concern, produced no significant effects on worriedness about financial status in old age and retirement goal clarity. These findings suggest that culturally attuned, optimism-focused PPPs can scalably cultivate the emotional and cognitive foundations of retirement readiness as societies worldwide age.

在香港人口迅速老龄化的背景下，个性化养老金计划（PPP）为刺激退休计划提供了一种低成本的方式——但通过希望还是恐惧？这项三组随机对照试验在304名中年工作成年人中测试了两种设计，追踪时间超过两年。利用情感即信息理论，单成分购买力平价（乐观财富轨迹）激活了拓宽和构建过程：它显著提高了老年感知幸福的家庭关系维度，扩展了未来时间的视角，并增加了支持持续储蓄的延迟满足心理资源。相比之下，两分量购买力平价（财富预测加显性储蓄缺口）旨在通过担忧引发保护动机，但对老年财务状况担忧和退休目标清晰度没有显著影响。这些发现表明，随着全球社会老龄化，与文化相适应、以乐观为中心的ppp可以大规模培养退休准备的情感和认知基础。

引用次数: 0