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什么因素影响人们对AI的接受:EST和TAM视角

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人工智能(AI)技术以前所未有的速度迅猛发展,人机交互领域迈入了崭新的历史阶段.然而个体对AI的接受程度并未如预期般高涨,这在一定程度上限制了AI技术的广泛应用及其带来的潜在增效.在深入回顾以往技术接受理论的基础上,融合生态系统理论和技术接受模型,系统性地从三个维度探讨影响AI接受度的关键因素:微观层面(个体与AI的互动)、中观层面(涉及任务要素与组织结构)以及宏观层面(文化背景、社会环境及政策导向).本研究旨在构建一个全面的理论框架,以深入理解影响人们对AI接受度的复杂多元因素.本文特别强调了在人与AI交互过程中,层次结构的明确划分和动态互动的重要性,为人工智能与人类互动的研究领域提供了全新的理论视角.未来研究应当关注AI接受度的动态变化轨迹,深入探讨AI的情感价值及其伦理问题,从而推动社会各界更加广泛地接受和应用人工智能技术.
Factors Influencing AI Acceptance:EST and TAM Perspectives
Artificial Intelligence(AI)technology is developing at an unprecedented pace,bringing the field of human-computer interaction into a new historical stage.However,individuals have not accepted AI as expected,which,to some extent,limits the widespread application of AI and its potential for increased efficiency.Based on the review of previous technology acceptance theories,and integrating ecological systems theory(EST)with the technology acceptance model(TAM),this study systematically explores the key factors influencing AI acceptance from three dimensions:the micro-level(individual interaction with AI),the meso-level(involving task elements and organizational structure),and the macro-level(cultural background,social environment,and policy orientation).This research aims to construct a comprehensive theoretical framework to give insights into the complex and diverse factors affecting AI acceptance.This paper particularly emphasizes the importance of clear division and dynamic interaction of hierarchical structures in the process of human-AI interaction,providing a new theoretical perspective.Future research should focus on the dynamic pattern of AI acceptance and delve into the emotional value and ethical issues of AI,thereby promoting its wider acceptance and application.

artificial intelligence(AI)acceptanceecosystem theorytechnology acceptance model

段锦云、姚星宇、胡子怡、李思贤

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华东师范大学 心理与认知科学学院,上海 200062

苏州大学 教育学院,江苏 苏州 215000

人工智能(AI) 接受度 生态系统理论 技术接受模型

2025

湖北师范大学学报(哲学社会科学版)
湖北师范学院

湖北师范大学学报(哲学社会科学版)

影响因子:0.177
ISSN:2096-3130
年,卷(期):2025.45(1)