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 compel 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-AI teaming model, a human-AI 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-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：我们近期研究发现，智能时代人因科学的设计理念正从"以用户为中心的设计"拓展至"以人为中心的人工智能"，人机关系呈现从"人机交互"向"人机/人工智能协同"的跨时代演变。这些变革为人因科学提出了新问题与新挑战。人因科学这一跨学科领域涵盖所有采用人本方法的研究方向，包括人因学、工效学、工程心理学及人机交互等。这些变化促使我们重新审视当前人因科学的范式与研究议程，而现有研究范式主要基于非智能技术。基于此，本文回顾了人因科学范式的演进历程，总结了我们近期提出的用以丰富人因科学研究范式的新概念模型与框架，包括人-人工智能协同模型、人-人工智能联合认知生态系统框架及智能社会技术系统框架。本文进一步深化这些概念，并展望其应用前景。同时，本文对未来"人-人工智能交互""智能人机界面"及"人-人工智能协同"领域的人因科学研究议程进行了前瞻，分析了研究范式对未来研究议程的作用。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与创新性的研究范式，从而进一步推动人因科学的研究与应用。