When everyone is talking about AI: The development of fear of missing out on AI scale

IF 8.3 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

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引用次数: 0

Abstract

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.

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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

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

17.00

自引率

4.70%

发文量

104

审稿时长

24 days

期刊介绍： Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.