International Journal of Information Management最新文献_第5页

Beyond the hype: Organisational adoption of Generative AI through the lens of the TOE framework–A mixed methods perspective 超越炒作：通过TOE框架的镜头组织采用生成式人工智能-混合方法的视角

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2026-02-01 Epub Date: 2025-10-10 DOI: 10.1016/j.ijinfomgt.2025.102982

Laurie Hughes , Fern Davies , Keyao Li , Senali Madugoda Gunaratnege , Tegwen Malik , Yogesh K Dwivedi

It is widely accepted that the impact of Generative Artificial Intelligence (GenAI) has been nothing short of transformational, with tangible impacts on industry, education, healthcare and government. But beyond the headlines, how are organisations actually using GenAI, what are the key challenges experienced by decision makers and has the reality on the ground matched the hype? This study adopts a mixed-methods approach, utilising the Technology-Organisation-Environment (TOE) framework to reveal greater insights to how organisations are adopting GenAI, the drivers that affect decision making and the key challenges associated with greater use of the technology. This research adopts a mixed method approach incorporating an explorative qualitative step with industry participants followed by a survey of 304 (three hundred and four) decision makers from a cross section of industry sectors from around the world including: North America, Europe, Africa, Australia and Asia, to gain further insight to the underlying factors that drive GenAI adoption. The research model was validated using Structural Equation Modelling (SEM) and reveals the intricate and inherent complexities related to greater levels of GenAI adoption. The analysis highlights the critical role of change capacity of the organisation in moderating complexity and staff skills. This research provides valuable and timely insights for senior management and policy makers that are attempting to better understand the interdependencies and perspectives on the key challenges facing organisations looking to deliver greater impact on organisational performance through GenAI.

人们普遍认为，生成式人工智能（GenAI）的影响不亚于变革，对工业、教育、医疗保健和政府产生了切实的影响。但是，除了这些头条新闻之外，组织实际上是如何使用GenAI的，决策者遇到的主要挑战是什么，实际情况是否与宣传相符？本研究采用混合方法，利用技术-组织-环境（TOE）框架来揭示组织如何采用GenAI，影响决策的驱动因素以及与更多使用该技术相关的关键挑战。本研究采用混合方法，首先对行业参与者进行探索性定性调查，然后对来自世界各地（包括北美、欧洲、非洲、澳大利亚和亚洲）的304名（340名）决策者进行调查，以进一步了解推动GenAI采用的潜在因素。该研究模型使用结构方程模型（SEM）进行了验证，并揭示了与更高水平的GenAI采用相关的复杂和固有的复杂性。分析强调了组织变革能力在调节复杂性和员工技能方面的关键作用。这项研究为高级管理层和政策制定者提供了有价值和及时的见解，他们试图更好地理解组织面临的主要挑战的相互依赖性和观点，这些挑战希望通过GenAI对组织绩效产生更大的影响。

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引用次数: 0

AI meets marketing research: Virtual interviewers and the challenges of regional and demographic adoption 人工智能满足市场研究：虚拟采访者和区域和人口采用的挑战

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2026-02-01 Epub Date: 2025-10-07 DOI: 10.1016/j.ijinfomgt.2025.102985

Györgyi Danó, Stefan Kovács, Vivien Surman

Artificial intelligence (AI)-based tools, such as virtual assistants (VAs), are increasingly used in marketing research, offering both task automation and interactive capabilities. This study examines virtual interviewers (VIs), AI-driven systems designed to conduct surveys as an alternative to human interviewers, addressing a key research gap on demographic and regional differences in VI adoption. Using two independent datasets (N = 1077 for a national sample, N = 1161 for Budapest), we tested three hypotheses related to Chatbot usage, willingness to engage with VIs, and regional differences. The findings reveal significant urban-rural disparities in AI acceptance. Urban respondents, particularly in Budapest, showed greater openness to Chatbot adoption, driven by curiosity and a desire for novelty. In contrast, rural participants exhibited heightened privacy concerns, acting as a barrier to adoption. Across both groups, openness to innovation and positive AI attitudes facilitated adoption, whereas privacy apprehensions and a preference for human interaction posed challenges. Beyond individual preferences, the study highlights ethical concerns, including AI replacing human interviewers and biases in AI algorithms. These findings underscore the need for tailored AI strategies that address regional and demographic differences while mitigating privacy concerns and building trust. This study advances knowledge on demographic and attitudinal factors influencing AI acceptance in research, with implications for optimizing AI-human hybrid models and ensuring ethical, inclusive AI adoption in marketing research and beyond.

基于人工智能（AI）的工具，如虚拟助理（VAs），越来越多地用于营销研究，提供任务自动化和交互功能。本研究考察了虚拟采访者（VIs），这是一种人工智能驱动的系统，旨在进行调查，作为人类采访者的替代品，解决了虚拟采访者采用人口统计学和区域差异方面的关键研究差距。使用两个独立的数据集（国家样本N = 1077，布达佩斯样本N = 1161），我们测试了三个与聊天机器人使用、与VIs互动的意愿和地区差异相关的假设。调查结果显示，城乡之间在接受人工智能方面存在显著差异。城市受访者，尤其是布达佩斯的受访者，在好奇心和对新奇事物的渴望的驱使下，对采用聊天机器人表现出更大的开放态度。相比之下，农村参与者表现出高度的隐私担忧，这成为了收养的障碍。在这两个群体中，对创新的开放态度和积极的人工智能态度促进了人工智能的采用，而对隐私的担忧和对人类互动的偏好则构成了挑战。除了个人偏好，该研究还强调了伦理问题，包括人工智能取代人类采访者以及人工智能算法中的偏见。这些发现强调了定制人工智能战略的必要性，以解决地区和人口差异，同时减轻隐私问题和建立信任。本研究推进了影响研究中人工智能接受程度的人口统计学和态度因素方面的知识，对优化人工智能-人类混合模型以及确保在营销研究及其他领域中道德、包容性地采用人工智能具有重要意义。

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引用次数: 0

E-SF2I: Dynamics modeling and multi-level verification of Online Social Network rumor propagation driven by emotional differentiation and dual-immunity-state coupling E-SF2I：情绪分化和双免疫-状态耦合驱动的在线社交网络谣言传播动力学建模及多层次验证

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2026-02-01 Epub Date: 2025-11-03 DOI: 10.1016/j.ijinfomgt.2025.102989

Chenquan Gan , Hongming Chen , Qingyi Zhu , Rui Tang , Deepak Kumar Jain , Liping Feng , Salvador García

The open architecture of Online Social Networks (OSNs) facilitates information sharing but also exacerbates the risk of rumor propagation. In response to the challenge that existing propagation models struggle to quantify the synergistic effects of user emotional polarization and temporary neutral behavior, this paper proposes a novel E-SF2I (Emotion-Susceptible-Forwarding-Temporary Immunity-Permanent Immunity) rumor propagation dynamics model. In terms of theoretical modeling, a differential dynamic system with time-varying characteristics is constructed by coupling the emotion-driven forwarding mechanism with dual immunity state transitions. Based on the Lyapunov stability theory, the system equilibrium and its global asymptotic stability are rigorously demonstrated. A rumor propagation simulation algorithm based on the E-SF2I framework and a multi-level verification are further developed to verify the practical application value of the proposed model. Initially, the theoretical results derived from the model are validated using real network structure datasets (Facebook, Twitter, P2P). Subsequently, the validity of the proposed model is tested using 13 real rumor events on the Twitter dataset. Finally, the proposed model is compared with traditional and new models for three representative real rumor events. The results show that the proposed model achieves higher accuracy in predicting the propagation trends of rumor events.

在线社交网络（Online Social Networks, OSNs）的开放式架构为信息共享提供了便利，但也加剧了谣言传播的风险。针对现有传播模型难以量化用户情绪极化与暂时中立行为的协同效应的挑战，本文提出了一种新的E-SF2I（情绪-敏感-转发-暂时免疫-永久免疫）谣言传播动力学模型。在理论建模方面，通过将情绪驱动的转发机制与双免疫状态转换耦合，构建了具有时变特征的差分动态系统。基于Lyapunov稳定性理论，严格证明了系统的平衡点及其全局渐近稳定性。进一步开发了基于E-SF2I框架的谣言传播仿真算法和多级验证，验证了所提模型的实际应用价值。首先，利用真实的网络结构数据集（Facebook, Twitter, P2P）验证了模型的理论结果。随后，使用Twitter数据集上的13个真实谣言事件来测试所提出模型的有效性。最后，对三个具有代表性的真实谣言事件与传统模型和新模型进行了比较。结果表明，该模型对谣言事件的传播趋势有较高的预测精度。

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引用次数: 0

Algorithmic management in the workplace: A systematic review and topic modeling integration using BERTopic 工作场所的算法管理：使用BERTopic进行系统回顾和主题建模集成

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2026-02-01 Epub Date: 2025-11-08 DOI: 10.1016/j.ijinfomgt.2025.102994

Wansi Chen , Anya Li , Chengkai Pan , Ting Yu , Aamir Ali , Yuanyuan Sun

As algorithmic systems become increasingly embedded in organizational processes, algorithmic management in the workplace has emerged as a central mechanism for guiding, evaluating, and coordinating employee attitudes and behaviors. While existing research has extensively examined the application of algorithmic management in gig platforms, there remains a lack of systematic review and theoretical integration concerning its diverse configurations, deployment conditions, and employee response mechanisms within standardized workplace settings. To address this gap, we conducted a systematic review of 167 peer-reviewed articles on workplace algorithmic management using the BERTopic topic modeling method. Guided by socio-technical systems (STS) theory and a bi-dimensional framework of algorithmic and employee autonomy, we identify four archetypal configurations: surveillance, supervision, supplementary, and complementary. These archetypes reflect distinct employee-algorithm interaction logics across role allocation, task interdependence, and goal alignment. We further examine the technological and organizational conditions required for each configuration and synthesize employee responses across cognitive, emotional, and behavioral domains. By constructing a configuration-based taxonomy rooted in the (in)consistencies of employee-algorithm autonomy, this study explicates the socio-technical deployment mechanisms underlying each archetype and illustrates how employees adapt to algorithmic systems through complex and dynamic engagement trajectories. Our findings offer an integrative framework linking configuration logics, deployment demands, and response patterns, contributing to a more nuanced understanding of how intelligent systems reshape organizational structures and employee experiences.

随着算法系统越来越多地嵌入到组织过程中，工作场所的算法管理已经成为指导、评估和协调员工态度和行为的核心机制。虽然已有研究广泛考察了算法管理在零工平台中的应用，但对于零工平台在标准化工作场所环境下的多样化配置、部署条件和员工响应机制，仍然缺乏系统的回顾和理论整合。为了解决这一差距，我们使用BERTopic主题建模方法对167篇关于工作场所算法管理的同行评议文章进行了系统综述。在社会技术系统（STS）理论和算法和员工自治的二维框架的指导下，我们确定了四种原型配置：监督、监督、补充和互补。这些原型反映了跨角色分配、任务相互依赖和目标一致的不同的员工-算法交互逻辑。我们进一步研究了每种配置所需的技术和组织条件，并综合了员工在认知、情感和行为领域的反应。通过构建基于员工-算法自治一致性的基于配置的分类法，本研究阐明了每个原型背后的社会技术部署机制，并说明了员工如何通过复杂和动态的参与轨迹适应算法系统。我们的发现提供了一个连接配置逻辑、部署需求和响应模式的综合框架，有助于更细致地理解智能系统如何重塑组织结构和员工体验。

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引用次数: 0

Factors influencing the adoption intent of quantum computing in enterprises: An innovation adoption process perspective 影响企业量子计算采用意向的因素：创新采用过程视角

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2026-02-01 Epub Date: 2025-09-30 DOI: 10.1016/j.ijinfomgt.2025.102978

Ohbyung Kwon , Seongjun Kwon , Timothy Jung , Saifeddin Alimamy

With recent advancements in quantum computing technology, companies have begun considering replacing or jointly utilizing their existing classical computing resources with quantum computing. Despite initial research on the examination of the adoption considerations for quantum computing, there is a lack of studies investigating the conditions that influence the adoption of quantum computing technology. Therefore, the purpose of this study is to identify and analyze the key factors that drive or hinder companies' intention to adopt quantum computing technology. Building on the theory of innovation diffusion and integrating insights from the adoption of multiple emerging technologies, this research aims to extend the understanding of quantum computing adoption dynamics. Specifically, drawing on the theory of innovation diffusion and existing literature related to the adoption of multiple emerging technologies, this research proposes the following research questions to identify the factors influencing the adoption intention of quantum computing. The study employed a Sequential Explanatory design, first exploring the topic through literature and interviews with 11 quantum computing experts, then quantifying findings with a questionnaire survey with 250 IT decision-makers within Korean companies, analyzed using PLS-SEM and MGA. Research findings revealed that belief in quantum superiority, quantum advantage, continuous budget allocation, and regulatory support significantly and positively influenced quantum computing adoption, whereas organizational resistance had the most substantial negative impact. Furthermore, firm size and industry significantly moderate these adoption intentions. Interestingly, companies expressed a desire to adopt quantum computing despite uncertainties. Theoretically, this study contributes to innovation diffusion theory by contextualizing its application to the adoption of a highly complex and nascent technology such as quantum computing. Practically, the findings offer actionable implications for policymakers and business leaders by illuminating the key drivers and barriers that must be addressed to promote quantum computing adoption.

随着量子计算技术的进步，企业开始考虑用量子计算取代或共同利用现有的经典计算资源。尽管对采用量子计算的考虑因素进行了初步研究，但缺乏对影响采用量子计算技术的条件进行调查的研究。因此，本研究的目的是识别和分析驱动或阻碍公司采用量子计算技术的关键因素。本研究以创新扩散理论为基础，结合多种新兴技术采用的见解，旨在扩展对量子计算采用动态的理解。具体而言，本研究借鉴创新扩散理论和现有的与多种新兴技术采用相关的文献，提出以下研究问题，以确定影响量子计算采用意愿的因素。该研究采用了顺序解释设计，首先通过文献和对11位量子计算专家的访谈来探索主题，然后通过对韩国公司内250名IT决策者的问卷调查来量化结果，并使用PLS-SEM和MGA进行分析。研究结果表明，对量子优势、量子优势、持续预算分配和监管支持的信念显著正向影响量子计算的采用，而组织阻力的负面影响最为显著。此外，企业规模和行业显著地调节了这些采用意愿。有趣的是，尽管存在不确定性，但许多公司都表达了采用量子计算的愿望。从理论上讲，本研究通过将创新扩散理论应用于高度复杂和新兴技术（如量子计算）的采用，为创新扩散理论做出了贡献。实际上，研究结果通过阐明促进量子计算采用必须解决的关键驱动因素和障碍，为政策制定者和商业领袖提供了可操作的启示。

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引用次数: 0

Increasing developers’ code accountability perceptions in open source software development 在开源软件开发中增加开发人员的代码责任观念

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2026-02-01 Epub Date: 2025-09-09 DOI: 10.1016/j.ijinfomgt.2025.102974

Sebastian Clemens Bartsch , Jan-Hendrik Schmidt , Martin Adam , Alexander Benlian

Open source (OS) software projects rely on high-quality code, making developers’ participation in reviewing their code essential to improve its quality. In non-OS domains, formal consequences (i.e., sanctions and rewards like fines or bonuses) are usually applied to raise developers’ perceived accountability for their code, thus motivating them to review it. However, in the OS domain, such formal consequences are often absent or only weakly pronounced, raising questions of whether and how developers perceive accountability for their code and how it affects their motivation to improve its quality. Using a developmental mixed-method research approach, we conducted a qualitative study with semi-structured online interviews to develop a research model (n = 29) and validated it through a follow-up scenario-based factorial survey (n = 480). Our findings indicate that in the OS domain, developers often perceive themselves accountable for their code. Project- and individual-related factors, such as legal liability for contributed code, the integration of the OS software project into other projects, the work status of developers, and gaining a reputation for code contributions, appear as mechanisms to influence and increase developers’ perceived code accountability. Furthermore, we observe that perceived code accountability promotes developers’ intention to review their code before contributing it to OS software projects and, thus, contribute code with higher quality. Overall, our paper contributes to information systems (IS) research on accountability perceptions in OS software development, indicating that in the OS domain, formal consequences such as sanctions and rewards are not exclusively necessary for evoking developers’ perceived code accountability and increasing code quality.

开源（OS）软件项目依赖于高质量的代码，这使得开发人员参与审查他们的代码对于提高其质量至关重要。在非操作系统领域，正式的后果（例如，制裁和奖励，如罚款或奖金）通常用于提高开发人员对其代码的感知责任，从而激励他们审查它。然而，在操作系统领域，这种正式的结果通常是不存在的，或者只是很弱地宣布，这就提出了开发人员是否以及如何认识到他们对代码的责任，以及它如何影响他们提高代码质量的动机的问题。采用发展混合方法研究方法，我们通过半结构化的在线访谈进行了定性研究，以开发研究模型（n = 29），并通过后续基于场景的因子调查（n = 480）对其进行了验证。我们的发现表明，在操作系统领域，开发人员通常认为自己对自己的代码负责。与项目和个人相关的因素，如贡献代码的法律责任、OS软件项目与其他项目的集成、开发人员的工作状态，以及获得代码贡献的声誉，都表现为影响和增加开发人员感知代码责任的机制。此外，我们观察到，感知到的代码责任促进了开发人员在将其贡献给OS软件项目之前审查其代码的意图，因此，贡献更高质量的代码。总的来说，我们的论文有助于信息系统（IS）对操作系统软件开发中责任观念的研究，表明在操作系统领域，制裁和奖励等正式后果对于唤起开发人员感知的代码责任和提高代码质量并不是唯一必要的。

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引用次数: 0

Effect of corporate reputation and coopetitive branding strategy on digital products sales: Evidence from digital video game industry 企业声誉和品牌竞争策略对数字产品销售的影响：来自电子游戏行业的证据

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2026-02-01 Epub Date: 2025-09-16 DOI: 10.1016/j.ijinfomgt.2025.102975

Hoon S. Choi , Emmanuel W. Ayaburi

This research examines the impact of the corporate reputation of game developers and publishers and their coopetitive branding strategy on digital video game sales. The study utilizes empirical data from Steam, the world’s largest digital video game distributor. Drawing on signaling theory, the study reveals the effect of two types of quality cues—corporate reputation and coopetitive branding strategy—on digital video game sales. The study finds the positive effect of both parties’ corporate reputations on sales. Additionally, it finds the moderation effect of their reputation on the relationship between product popularity and sales, emphasizing the importance of corporate reputation in the digital video game market with enormous product diversity. Regarding a coopetitive branding strategy’s effect, the findings disclose that only developer coopetitive branding—labeling multiple developer brands in a competitive relationship—effectively increases sales, while publisher coopetitive branding has no significant effect.

该研究考察了游戏开发商和发行商的企业声誉及其品牌战略对数字电子游戏销售的影响。该研究利用了全球最大的数字视频游戏分销商Steam的实证数据。利用信号理论，该研究揭示了两种类型的质量线索——企业声誉和合作品牌战略——对数字视频游戏销售的影响。研究发现，双方的企业声誉对销售都有积极影响。此外，研究还发现了企业声誉对产品知名度与销量之间关系的调节作用，强调了企业声誉在产品多样性巨大的数字电子游戏市场中的重要性。就合作品牌策略的效果而言，研究发现只有开发商合作品牌——在竞争关系中标注多个开发商品牌——才能有效提高销量，而发行商合作品牌没有显著效果。

引用次数: 0

The art of attraction: Decoding dynamics of entrepreneurs presentation experience in reward-based crowdfunding 吸引力的艺术：解读创业者在基于奖励的众筹中呈现体验的动态

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2026-02-01 Epub Date: 2025-11-06 DOI: 10.1016/j.ijinfomgt.2025.102998

Mohammadreza Meigounpoory , Pouria Rad , Mohsen Jozani , Gianluca Zanella

Crowdfunding outcomes depend not only on projects but on how creators present themselves. We study creator-level factors in the “About the Creator” section on Kickstarter using a large longitudinal dataset, combining speech act analysis of biographies, automated classification of avatar type and quality, and measures of on-platform engagement. Expressive wording that signals ownership and inclusion is positively associated with funding, whereas several commissive framings that emphasize need, process, or persistence are negatively associated, and casual interjections are also detrimental. Higher quality avatars are beneficial, while substituting a logo for a face is associated with poorer outcomes. Engagement matters, as replying to comments and a richer history of backing other projects are positively related to funding, while a passive social media link shows no reliable relationship. An integrated creator-level model that pools these cues improves explanatory power beyond standard campaign-level factors, and a comparison of the highest and lowest scoring biographies by our speech acts index indicates materially better funding performance for the former. The study foregrounds the entrepreneur as the locus of trust formation and offers a portable toolkit and practical guidance for improving creator self-presentation.

众筹的结果不仅取决于项目，还取决于创作者如何展示自己。我们使用大型纵向数据集研究了Kickstarter上“关于创造者”部分的创造者层面因素，结合了传记的言语行为分析、角色类型和质量的自动分类以及平台粘性的测量。表明所有权和包容性的表达性措辞与资金正相关，而强调需求、过程或持久性的一些委托性框架则与资金负相关，随意的叹词也是有害的。高质量的头像是有益的，而用一个标志代替一个脸则与较差的结果相关。参与很重要，因为回复评论和更丰富的支持其他项目的历史与融资正相关，而被动的社交媒体链接则没有可靠的关系。整合了这些线索的创作者级别模型提高了标准活动级别因素之外的解释力，通过我们的言语行为指数对得分最高和最低的传记进行比较，可以看出前者的融资表现更好。本研究将企业家作为信任形成的场所，并为改善创业者自我呈现提供了一个可携带的工具包和实践指导。

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引用次数: 0

Building on the legacy of the International Journal of Information Management 建立在国际信息管理杂志的遗产

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2026-02-01 Epub Date: 2025-11-15 DOI: 10.1016/j.ijinfomgt.2025.103000

Michael Chau, Andrew Schwarz

引用次数: 0

Sorry, it's my fault: Politeness, attribution, and anthropomorphism in managing generative AI hallucinations 对不起，是我的错：礼貌、归因和拟人论在管理生成型人工智能幻觉中的作用

IF 27 1区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

International Journal of Information Management

Pub Date : 2026-02-01 Epub Date: 2025-11-07 DOI: 10.1016/j.ijinfomgt.2025.102996

Hayeon Kim, Sang Woo Lee

While generative artificial intelligence (AI) has revolutionized various fields, it also presents a significant challenge: 'hallucinations'—plausible but inaccurate information generated by AI systems. Because hallucinations are difficult to prevent entirely, it is essential for generative AI systems to address these inaccuracies effectively. This study investigates how generative AI response strategies to hallucinations affect user satisfaction and tolerance. We examined the impact of politeness (Gratitude vs. Apology) and attribution (Internal vs. External) strategies, as well as AI anthropomorphism, on user reactions. In a 2 × 2 online experiment with 369 ChatGPT users, participants were randomly assigned to one of four response strategy conditions. Results show that users reported the highest satisfaction when the AI apologized and accepted internal responsibility for the error. This effect was particularly pronounced among users who perceived the AI as less human-like, though positive reactions were also observed among users who anthropomorphized the AI. Moreover, user satisfaction mediated the relationship between the AI’s apology/internal attribution and tolerance for hallucinations. This indirect effect was strongest among those who perceived the AI as less human-like. These findings offer theoretical insights into how social response strategies shape user tolerance of AI errors and provide practical guidance for designing more trustworthy and human-centered AI.

虽然生成式人工智能（AI）已经彻底改变了各个领域，但它也带来了一个重大挑战：“幻觉”——人工智能系统产生的看似合理但不准确的信息。因为幻觉很难完全预防，所以生成人工智能系统必须有效地解决这些不准确的问题。本研究探讨了生成式人工智能对幻觉的反应策略如何影响用户满意度和容忍度。我们研究了礼貌（感激与道歉）、归因（内部与外部）策略以及人工智能拟人化对用户反应的影响。在对369名ChatGPT用户进行的2 × 2在线实验中，参与者被随机分配到四种响应策略条件中的一种。结果显示，当人工智能道歉并为错误承担内部责任时，用户的满意度最高。这种影响在那些认为AI不太像人类的用户中尤为明显，尽管在那些将AI拟人化的用户中也观察到积极的反应。此外，用户满意度在AI道歉/内部归因与幻觉容忍度之间起中介作用。这种间接影响在那些认为人工智能不太像人类的人身上表现得最为强烈。这些发现为社会反应策略如何塑造用户对人工智能错误的容忍度提供了理论见解，并为设计更值得信赖和以人为本的人工智能提供了实践指导。

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引用次数: 0