摘要
本研究旨在探究人机交互中公众对生成式人工智能的认知、评估与使用情况。借助科学传播理论和AIDUA研究框架,对1805份样本数据进行结构方程模型分析,研究深入探讨了公众对生成式人工智能多维认知态度的形成因素,以及其对公众细分内容生产行为的影响路径。研究发现,公众对生成式人工智能的认知、评估与使用是在技术想象与技术实践交织互构的情境下进行的。在初次评估阶段,个体的科技乐观主义人格、先验技术经验以及其周边社群的社会影响力等前端外围因素构建了公众的技术想象,驱动着他们对生成式人工智能的认知与实践。在二次评估阶段,公众基于技术实践而形成的生成式人工智能使用、收益与风险感知织造了他们对生成式人工智能积极与消极交织的多维认知态度。在行为结果阶段,公众的多维认知态度深刻地影响着他们细化的内容生产。
This study aims to explore the public's perception,assessment and use of Generative Artificial Intelligence in human-computer interaction.With the help of science communication theory and the AIDUA research framework,and structural equation modeling analysis of 1805 sample data,the study deeply explores the factors that form the public's multidimensional cognitive attitudes towards Generative Artificial Intelligence,as well as the paths that influence the public's segmented content production behaviors.The study finds that the public's cognition,assessment and use of generative AI take place in a context of intertwined and Interco structed technological imagination and technological practice.In the primary assessment stage,the public's technological outlook is shaped by peripheral,front-end factors,including an individual's optimistic technological disposition,prior technological experiences,and the influence of their local community.These elements drive their perceptions and practical engagement with GAI.In the subsequent evaluation stage,the public's understanding of GAI's usage,advantages,and potential risks,informed by their own technological activities,gives rise to a complex cognitive attitude that encompasses both favorable and unfavorable elements.Ultimately,at the behavioral outcome stage,these multidimensional cognitive attitudes significantly impact the public's intricate content creation decisions.
作者
刘鸣筝
王硕
LIU Mingzheng;WANG Shuo(School of Journalism and Communication)
出处
《国际新闻界》
北大核心
2024年第4期32-51,共20页
Chinese Journal of Journalism & Communication
基金
国家社科基金项目“我国网络视频节目传播效果与创新路径的大数据研究”(项目编号:23BC050)资助。