Telematics and Informatics最新文献_第5页

From interface to inference: mapping the impact of generative artificial intelligence affordances on user risk perception 从界面到推理：映射生成人工智能功能对用户风险感知的影响

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-06-04 DOI: 10.1016/j.tele.2025.102299

Haoyu Zhao , Zhengbiao Han , Shuqi Yin , Nan yang , Preben Hansen

A deep understanding of Generative Artificial Intelligence (GAI) is crucial not only for technological development but also for formulating effective risk response strategies. However, previous studies have mainly focused on how individual factors affect GAI risk perception while the technical functions and features that are the root causes of user concerns regarding GAI remain unclear. To address this gap, the current study, grounded in affordance theory, explored how perceived affordances of GAI influenced user risk perceptions across six dimensions: information, security, technical, social, ethical, and legal. A hierarchical regression analysis was conducted on a survey of 1,031 GAI users to examine the impact of interactivity, agency, and security affordances on these risk dimensions. The results indicate that higher perceptions of affordances such as bandwidth, synchrony, and transparency are significantly associated with lower risk perceptions across all dimensions. Notably, women reported higher perceived risks than men in most categories, whereas age and GAI usage experience did not significantly affect these perceptions. These findings highlight the importance of enhancing user control, transparency, and privacy protections in GAI system design to effectively mitigate perceived risks. This study contributes to the literature by providing a multidimensional analysis of risk perception in the context of GAI, offering practical insights for the development of inclusive, transparent, and user-centered artificial intelligence systems.

深入理解生成式人工智能（GAI）不仅对技术发展至关重要，而且对制定有效的风险应对策略也至关重要。然而，以往的研究主要集中在个体因素如何影响GAI风险感知，而技术功能和特性是用户关注GAI的根本原因尚不清楚。为了解决这一差距，目前的研究以可视性理论为基础，探讨了GAI的感知可视性如何影响用户在六个方面的风险感知：信息、安全、技术、社会、道德和法律。对1031个GAI用户进行了层次回归分析，以检查交互性、代理和安全能力对这些风险维度的影响。结果表明，在所有维度上，对带宽、同步性和透明度等能力的较高认知与较低的风险认知显著相关。值得注意的是，在大多数类别中，女性报告的感知风险高于男性，而年龄和GAI使用经验对这些感知没有显著影响。这些发现强调了在GAI系统设计中加强用户控制、透明度和隐私保护的重要性，以有效地减轻感知风险。本研究对GAI背景下的风险感知进行了多维度分析，为开发包容、透明和以用户为中心的人工智能系统提供了实践见解，从而为文献做出了贡献。

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引用次数: 0

Other-Interest and compassion as mechanisms of the warranting principle: Advancing warranting theory in the context of sponsored posts 他人利益和同情作为担保原则的机制：在赞助文章背景下推进担保理论

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-05-30 DOI: 10.1016/j.tele.2025.102292

Yue (Nancy) Dai, Lunrui Fu , Wufan Jia

Warranting theory explains how individuals assess the credibility of online information using the concept of warranting value. However, online environments may simultaneously present cues that decrease warranting value along with users’ positive or negative reactions to those cues. This highlights the need for a deeper understanding of the mechanisms underlying the warranting principle to strengthen the theory’s explanatory power. This study extends warranting theory by exploring perceived self-interest, other-interest, and compassion as mechanisms for the warranting principle. Contextualized in sponsored posts, it examines how warranting value is influenced by 1) whether sponsorship is disclosed by the endorser or others, and 2) audience reactions (positive vs. negative). An experiment (N = 1890) revealed that sponsorship reduced warranting value, but self-disclosure by the endorser restored some credibility by enhancing perceptions of the endorser’s other-interest. Negative comments from others diminished the post’s warranting value by reducing compassion toward the endorser. The findings advance warranting theory by suggesting other-interest and compassion as additional mechanisms of the warranting principle and by highlighting the effects of user-generated appraisals of third-party information modification cues on the warranting value of online information.

保证理论解释了个人如何使用保证价值的概念来评估网络信息的可信度。然而，在线环境可能同时呈现降低保证价值的线索以及用户对这些线索的积极或消极反应。这突出表明需要更深入地了解担保原则的机制，以加强理论的解释力。本研究扩展了保证原则的理论，探讨了感知自利、他者利益和同情作为保证原则的机制。在赞助帖子的背景下，它检查了保证价值如何受到以下因素的影响：1)赞助是由赞助者还是其他人披露的，以及2)观众的反应（积极与消极）。一项实验（N = 1890）表明，赞助降低了担保价值，但背书人的自我披露通过增强对背书人其他利益的感知而恢复了一些可信度。其他人的负面评论减少了人们对帖子的同情，从而降低了帖子的价值。研究结果通过提出他人兴趣和同情心作为保证原则的附加机制，以及通过强调用户对第三方信息修改线索的评估对在线信息保证价值的影响，推进了保证理论。

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引用次数: 0

From passive to active: How does algorithm awareness affect users’ news seeking behavior on digital platforms 从被动到主动：算法意识如何影响用户在数字平台上的新闻搜索行为

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-05-24 DOI: 10.1016/j.tele.2025.102291

An Hu , Min Ou

Algorithms are increasingly pervasive in digital platforms, often operating unnoticed by users. Despite this, there is limited understanding of the extent to which users recognize and understand algorithms and how this awareness influences their platform behavior. This study draws on Social Cognitive Theory and Uses & Gratifications Theory to investigate users’ active information behavior, focusing on their cognitive processes in perceiving and interacting with algorithms. Using survey data from 1,158 users of an algorithm-driven news platform, we found that information- and opinion-driven motivations predict active news seeking behavior, while entertainment motivation negatively influences it. Intriguingly, algorithm awareness mediates the relationships between social, opinion, and entertainment motivations and active news seeking, but not for information-motivated users, who seek news actively regardless of their algorithmic understanding. Platform transparency further moderates the relationship between awareness and active news seeking. This study offers both theoretical and practical insights for researchers and practitioners aiming to achieve sustainable human-algorithm interaction.

算法在数字平台上越来越普遍，往往不被用户注意。尽管如此，人们对用户识别和理解算法的程度以及这种意识如何影响他们的平台行为的理解有限。本研究借鉴了社会认知理论和应用。满足理论研究用户的主动信息行为，关注他们感知算法和与算法交互的认知过程。通过对一个算法驱动的新闻平台的1158名用户的调查数据，我们发现信息和观点驱动的动机可以预测积极的新闻寻求行为，而娱乐动机则会对其产生负面影响。有趣的是，算法意识调节了社交、观点和娱乐动机与积极新闻搜索之间的关系，但对信息驱动型用户却没有作用，这些用户不管对算法的理解如何，都积极地寻找新闻。平台透明度进一步调节了意识和主动新闻搜索之间的关系。该研究为旨在实现可持续的人-算法交互的研究人员和实践者提供了理论和实践见解。

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引用次数: 0

UX competitive analysis of smart city open data portals: usability framework, design recommendations, and a roadmap for sustainable data ecosystems 智慧城市开放数据门户的用户体验竞争性分析：可用性框架、设计建议和可持续数据生态系统路线图

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-05-19 DOI: 10.1016/j.tele.2025.102284

Martin Lnenicka , Anastasija Nikiforova , Di Wang , Flávia Bernardini

Smart city open data portals serve as a nexus between the municipal administration and its residents. However, this depends heavily on their usability, which is understudied, including a lack of understanding of the design that would help achieve expected objectives. In this study, we (1) propose the framework to explore the features of open data portals, (2) apply the developed framework to open data portals of 116 out of 183 smart cities covered by Cities in Motion Index 2022, i.e., to all smart cities that have an open data portal, conducting their assessment by experts, which made it possible to (3) identify the most commonly implemented features, as well as the most promising, but not necessarily frequently implemented, and based on the results of the assessment, (4) identify additional features that could potentially be implemented to improve user-centricity, usability, and accessibility, thereby refining the used framework, proposing a list of 30 evidence-informed practices. Considering our findings and the most common characteristics that enabled us to identify common design patterns, we also define a 5-level readiness framework of the smart city portals, thereby providing a developmental roadmap for advancing their readiness. We conclude that an open data portal is integral to a smart city’s data ecosystem. However, to draw conclusions about the resilience and sustainability of this ecosystem, we must consider all its relevant components that synergically affect its development.

智慧城市开放数据门户作为城市管理和居民之间的纽带。然而，这在很大程度上取决于它们的可用性，而这一点还没有得到充分的研究，包括缺乏对有助于实现预期目标的设计的理解。在本研究中，我们(1)提出框架来探索开放数据门户的特征，(2)将开发的框架应用于城市动态指数2022涵盖的183个智慧城市中的116个开放数据门户，即所有拥有开放数据门户的智慧城市，并由专家进行评估，从而有可能(3)确定最常用的功能，以及最有希望的功能，但不一定经常实施；根据评估结果，(4)确定可能实现的其他功能，以提高以用户为中心、可用性和可访问性，从而改进所使用的框架，提出30个循证实践的列表。考虑到我们的研究结果和使我们能够识别常见设计模式的最常见特征，我们还定义了智慧城市门户的5级准备框架，从而为提高其准备程度提供了发展路线图。我们得出结论，开放的数据门户是智慧城市数据生态系统不可或缺的一部分。然而，为了得出关于这一生态系统的复原力和可持续性的结论，我们必须考虑到协同影响其发展的所有相关组成部分。

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引用次数: 0

When everyone is talking about AI: The development of fear of missing out on AI scale 当每个人都在谈论人工智能时：害怕错过人工智能的发展规模

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-05-16 DOI: 10.1016/j.tele.2025.102283

Deng Fengyi , Zhang Zichen , Lin Yajun , Mo Xiaoping , Zhang Yue

In the realm of artificial intelligence (AI) discourse, individuals’ fear of missing out on the benefits of AI technology and of being rendered obsolete by others or by society emerges as a critical concern. Nonetheless, research on this topic is not comprehensive. The present study introduces and defines the construct of individuals’ fear of missing out on AI (FoMO-AI) and investigates the dimensions of FoMO-AI. Following a literature study and in-depth interviews, the first round of questionnaire obtained 494 valid responses and employed exploratory factor analysis. In conclusion, the present study has constructed a scale measuring FoMO-AI, comprising 26 items. The scale is comprised of three sub-dimensions, labelled AI backwardness anxiety, AI access concerns, and AI dividend anxiety. The second round of questionnaire was employed to conduct confirmatory factor analysis on 254 valid samples. In addition, this study verified that individual’s STARA (Smart Technology, Artificial Intelligence, Robotics, and Algorithms) awareness had a positive impact on FoMO-AI, and individual’s AI backwardness anxiety had a positive effect on their motivated learning behaviors. The FoMO-AI scale provides researchers with a valuable research tool and directions for constructing theoretical models to further explore the current social phenomenon of promoting the potential of AI globally.

在人工智能（AI）话语领域，个人担心错过人工智能技术的好处，担心被他人或社会淘汰，这成为一个关键问题。然而，关于这一主题的研究并不全面。本研究引入并定义了个体错失AI恐惧（FoMO-AI）的结构，并探讨了FoMO-AI的维度。通过文献研究和深度访谈，第一轮问卷获得494份有效回复，并采用探索性因子分析。综上所述，本研究构建了一个包含26个项目的FoMO-AI量表。该量表由人工智能落后焦虑、人工智能准入担忧和人工智能红利焦虑三个维度组成。采用第二轮问卷对254份有效样本进行验证性因子分析。此外，本研究验证了个体的STARA （Smart Technology, Artificial Intelligence, Robotics, and Algorithms）意识对FoMO-AI有正向影响，个体的AI落后焦虑对其动机学习行为有正向影响。FoMO-AI量表为研究人员构建理论模型提供了有价值的研究工具和方向，以进一步探索当前全球范围内促进AI潜力的社会现象。

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引用次数: 0

Why do metaverse government services fail? Understanding the influences of different failure types on citizens’ satisfaction with meta-government services in China 为什么虚拟政府服务会失败？不同失效类型对中国公民对元政府服务满意度的影响

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-05-07 DOI: 10.1016/j.tele.2025.102281

Yonghan Zhu , Marijn Janssen

The metaverse is still in its early stages, and most prototype metaverse platforms fail to fulfill their potential and meet users’ demands. Numerous studies have focused on the success of metaverse applications. However, there has been limited research on the failure of the metaverse services. Based on digital service failure model (DSFM), uses and gratification theory (U&G), and organizational failure diagnosis model (OFDM), an integrated model to investigate the influences of different failure types on citizens’ satisfaction with meta-government services is developed. The model was tested using a survey of 402 responses in China, which were analyzed using a hybrid structural equation modeling artificial neural network (SEM-ANN) approach. The findings indicated that organizational failure exerts the most powerful effect on citizens’ satisfaction. Moreover, information, service, system, and psychological needs failure, negatively influence citizens’ satisfaction. In addition, technology anxiety can weaken the influences of information, system, psychological needs, and organizational failures on citizens’ satisfaction while enhancing the relationship between service failure and citizens’ satisfaction. This research contributes initial and original insights into the failure types of meta-government services and their impacts, addressing a significant gap in the literature.

元世界仍处于早期阶段，大多数原型元世界平台未能充分发挥其潜力，满足用户需求。许多研究都关注于元宇宙应用程序的成功。然而，关于元服务故障的研究还很有限。基于数字服务失效模型（DSFM）、使用与满足理论（U&；G）和组织失效诊断模型（OFDM），构建了不同失效类型对元政府服务公民满意度影响的综合模型。通过对402份中国调查问卷对该模型进行检验，并采用混合结构方程建模人工神经网络（SEM-ANN）方法对其进行分析。研究发现，组织失败对公民满意度的影响最大。信息需求、服务需求、制度需求和心理需求失败对公民满意度有负向影响。此外，技术焦虑可以减弱信息、制度、心理需求和组织失效对公民满意度的影响，而增强服务失效与公民满意度的关系。本研究对元政府服务的失效类型及其影响提供了初步和原创性的见解，解决了文献中的重大空白。

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引用次数: 0

Online vaccine misinformation and susceptible publics: Understanding the differences between misinformation-immune, -vulnerable, -receptive, and -amplifying publics’ perceptions and behavioral intentions 在线疫苗错误信息和易感公众：了解错误信息免疫、易受伤害、接受和放大公众的感知和行为意图之间的差异

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-04-25 DOI: 10.1016/j.tele.2025.102279

Arunima Krishna , Michelle A. Amazeen , Rob Eschmann

As misinformation, particularly on social media, continues to be a social problem, a growing body of literature seeks to understand how to correct such messages. This study sought to understand the four misinformation-susceptible publics’ perceptions of messages designed to correct misinformation, and their resultant behavioral intentions. Using data from two studies, one based on MMR vaccine misinformation (N = 1067) and the second on Covid-19 vaccine misinformation (N = 1697), this study served to use the typology of misinformation-susceptible publics across two issues that have been subjected to extensive misinformation in both mainstream and social media. As expected, misinformation-amplifying publics were found to be least receptive to misinformation correction messages compared to the other three groups and reported the lowest likelihood of getting vaccinated. The implications of this work for theory and practice are discussed (135 words).

由于错误信息，特别是社交媒体上的错误信息，仍然是一个社会问题，越来越多的文献试图了解如何纠正这些信息。本研究试图了解四种易受错误信息影响的公众对旨在纠正错误信息的信息的感知，以及他们由此产生的行为意图。本研究使用了两项研究的数据，一项是基于MMR疫苗错误信息（N = 1067），另一项是关于Covid-19疫苗错误信息（N = 1697），该研究旨在利用易受错误信息影响的公众的类型，解决两个问题，这些问题在主流和社交媒体上都受到了广泛的错误信息。正如预期的那样，与其他三组相比，放大错误信息的公众最不容易接受错误信息更正信息，并且报告接种疫苗的可能性最低。讨论了本研究对理论和实践的意义（135字）。

引用次数: 0

Why share debunking information? Investigating the relationship between motivation, sharing behavior, gratification, and continuous sharing intentions 为什么要分享揭露真相的信息？研究动机、分享行为、满足感和持续分享意图之间的关系

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-04-23 DOI: 10.1016/j.tele.2025.102280

Fan Chao , Guang Yu , Yuan Sun

The widespread dissemination of debunking information is essential for effectively controlling rumors. This study integrates the uses and gratifications theory with media system dependency theory and employs two survey studies to examine the complex relationships among social media usage motivations, willingness to share debunking information, gratification, and continued sharing intentions. The findings indicate that, in the context of debunking information sharing, motivations related to self-expression, altruism, and entertainment are significant within the three-goal categories of understanding, orientation, and play in individuals’ media system dependencies. Users with stronger motivations in these areas are more inclined to share debunking information. Additionally, the willingness to share debunking information positively influences users’ gratification, with this effect being more pronounced when the audience size is larger. Furthermore, higher gratification derived from sharing debunking information strengthens users’ continued intention to share. However, habitual sharing weakens this relationship. These findings contribute to a deeper understanding of social media users’ debunking information-sharing behaviors from the perspective of information recipients. The study also provides actionable strategies for practitioners to enhance the effectiveness of debunking information dissemination.

广泛传播辟谣信息对于有效控制谣言至关重要。本研究将使用与满足理论与媒介系统依赖理论相结合，采用两项调查研究来考察社交媒体使用动机、揭露信息分享意愿、满足和持续分享意愿之间的复杂关系。研究结果表明，在揭穿信息共享的背景下，与自我表达、利他主义和娱乐相关的动机在个人对媒体系统依赖的理解、取向和发挥这三个目标类别中具有重要意义。在这些方面动机更强的用户更倾向于分享揭穿信息。此外，揭露信息的分享意愿会对用户的满足感产生积极影响，当受众规模越大时，这种影响就越明显。此外，分享揭露信息带来的更高满足感增强了用户的持续分享意愿。然而，习惯性的分享会削弱这种关系。这些发现有助于从信息接受者的角度更深入地理解社交媒体用户的揭穿信息分享行为。研究亦为从业员提供可操作的策略，以提高资讯揭露的成效。

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引用次数: 0

When AI takes your call: Investigating the impact of conversational styles on customer service agents’ affective delivery 当人工智能接听你的电话时：调查会话风格对客户服务座席情感传递的影响

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-04-23 DOI: 10.1016/j.tele.2025.102277

Inyoung Jang , Jaekwang Kim , Inyoung Park

Designing systems for proper conversation is one of the main challenges in developing affective artificial intelligence such as AI customer service agents (CSAs). While service interaction studies underscore that CSA’s sincerity plays a key role in affective service delivery, there is limited research on how people perceive sincerity from non-human AI CSAs. By simulating real voice-based customer service interactions, our study presented a research model to examine how the conversational styles (task-oriented vs. emotion-oriented) influence individual’s perceived sincerity and affective delivery of AI CSAs. Results indicate that the conversational styles and CSA type (human vs. AI) jointly influenced perceived sincerity. Further, perceived sincerity mediated the interaction effect between CSA type and conversational style on perceived affective delivery. This paper advances the existing literature on affective delivery of AI by elucidating how different conversation designs can enhance customer perceptions in voice-mediated AI communications.

为适当的对话设计系统是开发情感人工智能（如人工智能客户服务代理（csa））的主要挑战之一。虽然服务交互研究强调CSA的诚意在情感服务提供中起着关键作用，但关于人们如何从非人类人工智能CSA中感知诚意的研究有限。通过模拟真实的基于语音的客户服务交互，我们的研究提出了一个研究模型，以研究会话风格（任务导向vs.情绪导向）如何影响个人感知的诚意和人工智能csa的情感传递。结果表明，会话风格和CSA类型（人类vs. AI）共同影响感知的诚意。此外，感知真诚在CSA类型和会话风格对感知情感传递的交互作用中起中介作用。本文通过阐明不同的对话设计如何在语音介导的人工智能通信中增强客户感知，推进了关于人工智能情感传递的现有文献。

引用次数: 0

How live streaming influences trust in social commerce: A parasocial relationship perspective 直播如何影响社交商务中的信任：一个准社会关系的视角

IF 7.6 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Telematics and Informatics

Pub Date : 2025-04-19 DOI: 10.1016/j.tele.2025.102274

Chia Yen Yang , Boon Xuan Koh , Kok Wai Chew

Due to the rise of live streaming shopping, building customer trust is essential for online small business sellers. However, prior live streaming shopping research has overlooked the importance of livestream viewers’ parasocial relationship as a bridge to connect trust. Based on the Stimulus-Organism-Response (S-O-R) framework, this study aims to investigate the antecedents of parasocial relationship including immersion, presence, and perceived enjoyment that have been underexplored previously, as to how they influence parasocial relationship, and subsequently leading to trust and purchase intention. A total of 340 survey questionnaires are collected and data is analyzed using PLS-SEM. The findings demonstrate that presence has the strongest influence, compared to perceived enjoyment and immersion on parasocial relationship. Moreover, parasocial relationship help cultivate consumers’ trust, with stronger effect of trust in the seller than trust in the product, leading to greater purchase intention. In the technology and virtual environment, our findings shed light on the importance of viewers’ perceptual stimuli to develop parasocial relationship, shaping trust and purchase intention. This study informs effective practical implications to online small business sellers.

由于直播购物的兴起，建立客户信任对在线小企业卖家来说至关重要。然而，之前的直播购物研究忽视了直播观众的准社交关系作为连接信任的桥梁的重要性。基于刺激-有机体-反应（S-O-R）框架，本研究旨在探讨沉浸感、在场感和感知享受等前因如何影响副社会关系，进而导致信任和购买意愿。共收集调查问卷340份，采用PLS-SEM对数据进行分析。研究结果表明，与感知到的享受和沉浸相比，存在对副社会关系的影响最大。此外，副社会关系有助于培养消费者的信任，消费者对卖家的信任效果强于对产品的信任，从而产生更大的购买意愿。在技术和虚拟环境下，我们的研究结果揭示了观众的感知刺激对发展副社会关系、塑造信任和购买意愿的重要性。这项研究通知有效的实际意义，在线小企业卖家。

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引用次数: 0