Our recent research shows that the design philosophy of human factors science in the intelligence age is expanding from "user-centered design" to "human-centered AI". The human-machine relationship presents a trans-era evolution from "human-machine interaction" to "human-machine/AI teaming". These changes have raised new questions and challenges for human factors science. The interdisciplinary field of human factors science includes any work that adopts a human-centered approach, such as human factors, ergonomics, engineering psychology, and human-computer interaction. These changes compell us to re-examine current human factors science's paradigms and research agenda. Existing research paradigms are primarily based on non-intelligent technologies. In this context, this paper reviews the evolution of the paradigms of human factors science. It summarizes the new conceptual models and frameworks we recently proposed to enrich the research paradigms for human factors science, 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 application of these concepts. This paper also looks forward to the future research agenda of human factors science in the areas of "human-AI interaction", "intelligent human-machine interface", and "human-machine/AI teaming". It analyzes the role of the research paradigms on the future research agenda. We believe that the research paradigms and agenda of human factors science influence and promote each other. Human factors science in the intelligence age needs diversified and innovative research paradigms, thereby further promoting the research and application of human factors science.

翻译：我们近期研究表明，智能时代人因科学的设计理念正从"以用户为中心的设计"向"以人为本的人工智能"扩展。人机关系呈现出从"人机交互"到"人机/AI协同"的跨时代演变。这些变化为人因科学提出了新的问题与挑战。人因科学作为跨学科领域，涵盖任何采用以人为本方法的研究方向，如人因学、工效学、工程心理学及人机交互。这些变化促使我们重新审视当前人因科学的研究范式与议程。现有研究范式主要基于非智能技术。在此背景下，本文回顾了人因科学范式的演变历程，总结了近期提出的用于丰富人因科学研究范式的新概念模型与框架，包括人-智能体协同模型、人-智能体联合认知生态系统框架及智能社会技术系统框架。本文进一步深化了这些概念，并展望了其应用前景。同时前瞻了"人-AI交互"、"智能人机界面"及"人机/AI协同"等领域中人因科学的未来研究议程，并分析了研究范式对未来议程的导向作用。我们认为，人因科学的研究范式与研究议程相互影响、相互促进。智能时代的人因科学需要多元化、创新性的研究范式，从而进一步推动人因科学的研究与应用。