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出 处:《新闻大学》2025年第2期1-14,117,共15页Journalism Research
基 金:国家社科基金项目“智能手机对未成年人身心健康发展的影响及其协同共治机制研究”(20BXW127)、清新计算传播与智能媒体实验室研究支持计划(2024TSJCLAB001)。
摘 要:寻找意义是人类生命的主要动机之一,创造性活动是获得意义感的一大重要来源,而生成式人工智能技术对人类创造性活动的广泛介入带来了对意义的挑战。本研究结合分布式认知理论,通过实验法探索生成式人工智能对人类创造性工作中意义感的影响及其机制,以期进一步认识人与生成式人工智能间的人机交互关系。研究发现,使用生成式人工智能会降低个体在创造性工作中所获得的意义感。具体表现为:任务意义感可由个体努力直接正向预测,也可通过感知自我有效性作为中介正向预测;但当生成式人工智能存在而未被使用时,中介效应失效;当生成式人工智能被使用时,直接效应失效,且感知生成式人工智能有效性在其中并未起到调节作用。研究揭示出人与机器间的“分别心”加剧了意义感知的威胁,建议在分布式认知理念的指导下将引导人机认知协同融合发展作为人机关系的破局点。The search for meaning is one of the primary motivations in human life,and creative activities serve as a vital source of meaningfulness.However,the extensive involvement of generative artificial intelligence(GAI)in human creative endeavors poses challenges to meaning perception.Drawing on distributed cognition theory,this study explores the impact and mechanism of GAI on people's perception of meaning in creative work through experimental methods,aiming to gain a deeper understanding of the human-machine interaction in this context.The findings indicate that the use of GAI diminishes individuals'sense of meaning in creative tasks.Specifically,perceived task meaning can be directly and positively predicted by individual effort and also mediated by perceived self-efficacy.Nevertheless,when GAI is present but unused,the mediation effect diminishes;whereas when GAI is employed,the direct effect fails,and perceived GAI efflcacy does not moderate this process.The study reveals that the"sense of distinction"between humans and machines exacerbates the threat to meaning perception,suggesting that guiding the integrated development of human-machine cognition under the guidance of distributed cognition theory can serve as a breakthrough point in shaping human-machine relationships.
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