Comprehension, apprehension, and acceptance: Understanding the influence of literacy and anxiety on acceptance of artificial Intelligence

忧虑 技术接受模型 心理学 理解力 焦虑 结构方程建模 读写能力 背景(考古学) 社会心理学 认知心理学 可用性 计算机科学 教育学 生物 机器学习 人机交互 古生物学 程序设计语言 精神科
作者
Gianluca Schiavo,Stefano Businaro,Massimo Zancanaro
出处
期刊:Technology in Society [Elsevier BV]
卷期号:77: 102537-102537 被引量:222
标识
DOI:10.1016/j.techsoc.2024.102537
摘要

In this paper, we discuss how people's attitudes toward accepting Artificial Intelligence (AI) technologies are influenced by their self-reported literacy (i.e., their understanding and ability to use AI technology) and anxiety (i.e., their fear of the AI technology's impact on society). We conducted an anonymous survey, gathering 313 valid responses, and utilized Structural Equation Modelling to examine the relationships between these factors. Our model incorporates the constructs of Technology Acceptance Model (TAM) to provide a more comprehensive overview of AI acceptance. Our findings indicate that while literacy fosters a positive attitude towards acceptance, anxiety has a minimal, although significant, direct negative effect, but plays a significant role in mediating the influence of literacy. Specifically, learning and sociotechnical dimensions of AI anxiety serves as a complementary partial mediator between AI literacy and acceptance, meaning that a portion of the effect of literacy on acceptance is mediated through AI anxiety. In contrast, literacy still explains a portion of acceptance independent from anxiety. Our study also confirms that dimensions of technology acceptance, as suggested by TAM, significantly shape individuals' attitudes towards AI as for others digital technology. In this respect, AI literacy positively influences the perception of ease of use and usefulness, thereby contributing to the overall acceptance of AI-based technology. We also discuss the implications of these findings for the development of critical literacy in the context of AI-based technology.
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