Our recent research shows that the design philosophy of human factors research in the intelligence age is expanding from "user-centered design" to "user-centered design 2.0" and "human-centered AI", and the human-machine relationship presents a trans-era evolution from "human-machine interaction" to "human-machine teaming". These changes have raised new questions and challenges for human factors research, compelling us to re-examine the paradigm and agenda of human factors research that was traditionally based on non-intelligent technologies. In this context, this paper reviews the cross-generational expansion of the human factors research paradigm and summarizes the new conceptual models and frameworks we proposed to enrich the human factors research paradigm, including a human-agent teaming model, a human-agent joint cognitive ecosystem framework, and an intelligent sociotechnical systems framework. This paper further enhances these concepts and looks forward to the corresponding application of these concepts and future research agenda. This paper also looks forward to the future agenda of human factors research from three aspects: "human-AI interaction", "intelligent human-machine interface", and "human-machine teaming". It analyzes the role of human factors research paradigms on future research agendas. We believe that the research paradigms and the research agenda influence and promote each other. Human factors research in the intelligence age needs diversified and innovative research paradigms, thereby further promoting the development of human factors science.
翻译:我们最近的研究显示,人类因素研究在情报时代的设计理念正在从“以用户为中心的设计”到“以用户为中心的设计2.0”和“以人为中心的人工智能”的扩展,而人与机器的关系呈现了从“人与机器的互动”到“人与机器团队”的跨时代演变。这些变化为人类因素研究提出了新的问题和挑战,迫使我们重新审视传统上以非智能技术为基础的人类因素研究的范式和议程。在此背景下,本文件审查了人类因素研究范式的跨代扩展,并总结了我们为丰富人类因素研究范式而提议的新概念模型和框架,包括人与代理人的团队模式、人与代理人的联合认知生态系统框架以及智能的社会技术系统框架。本文件进一步强化了这些概念,并期待着这些概念和未来研究议程的相应应用。本文还从三个方面展望人类因素研究的未来议程:人类-AI互动、智能的人类机器界面界面、以及“人与机器团队” 。它分析了人类因素研究模式的作用,从而推动了人类因素研究的每个研究模式以及未来研究议程的多样化影响。我们相信人类研究议程和人类研究议程中的每一项研究议程。