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作 者:张进澳 卢新元[1,2] 刘亚丽 薛晓斐 Zhang Jinao;Lu Xinyuan;Liu Yali;Xue Xiaofei(School of Information Management,Central China Normal University,Wuhan 430079,China;E-Commerce Research Center of Hubei Province,Central China Normal University,Wuhan 430079,China;School of Public Administration,Sichuan University,Chengdu 610065,China)
机构地区:[1]华中师范大学信息管理学院,湖北武汉430079 [2]华中师范大学湖北省电子商务研究中心,湖北武汉430079 [3]四川大学公共管理学院,四川成都610065
出 处:《现代情报》2025年第4期87-97,共11页Journal of Modern Information
基 金:国家社会科学基金重点项目“数智时代下AIGC服务模式及生态治理研究”(项目编号:23AGL040)。
摘 要:[目的/意义]智能时代,人工智能生成内容逐渐成为创作领域的新兴工具与核心内容,影响着创作者的创作过程与成效。探讨人工智能生成内容对创作者工作重塑的影响,可为人智协同创作水平、人智关系的提高提供具体参考。[方法/过程]研究通过Credom平台进行两次实验研究,参考CAT模型和AIGC技术、内容双重特征的维度框架,分析了AIGC驱动工作重塑的影响机制。[结果/结论]研究发现,人工智能生成内容对创作者工作重塑具有积极影响,在具体影响机制中内容的感知娱乐性对情感依恋具有促进作用,技术的感知有用性对自我效能具有积极影响。同时自我效能和情感依恋将进一步影响工作重塑,且认知重塑在驱动任务重塑和关系重塑的过程中具有显著的中介作用。本文拓展了AIGC在人智交互领域的研究内容,研究结论对深化人工智能与创作者工作的理论关系具有一定的边际贡献,同时,在实践层面也将为创作者与环境的弥合、人智协同创作水平的提高提供具体参考。[Purpose/Significance]In the era of AI,artificial intelligence generated content(AIGC)has gradually become a new tool and core content in the field of creation,affecting the creative process and effectiveness of creators.Exploring the impact of AIGC on creators'job crafting could provide specific reference for improving human-AI collaborative creation level and human-AI relationship.[Purpose/Significance]Two experimental studies were conducted on Credom,and the influence mechanism of AIGC-driven job crafting was analyzed by referring to CAT model,and the dimensional framework of dual features of AIGC.[Purpose/Significance]The study found that AIGC has a positive impact on creators'job crafting,in the specific influence mechanism,the perceived entertainment of content has a promoting effect on emotional attachment,and the perceived usefulness of technology has a positive impact on self-efficacy.At the same time,self-efficacy and emotional attachment will further affect job crafting,and cognitive crafting has a significant mediating role in the process of driving task crafting and relationship crafting.This study expands the research content of AIGC in the field of human-AI interaction,and the research conclusions have a marginal contribution to deepening the theoretical relationship between AI and creator work.
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