This paper proposes the innovative concept of "human factors science" to characterize engineering psychology, human factors engineering, human-computer interaction, and other similar fields. Although the perspectives in these fields differ, they share a common approach: "human-centered design." In the AI era, the human-machine relationship presents a trans-era evolution to "human-AI teaming." The change has raised challenges for human factors science, compelling us to re-examine current research paradigms and agendas. Based on our previous work, this paper proposes three research paradigms: (1) human-AI joint cognitive systems: this regards an intelligent agent as a cognitive agent with a certain level of cognitive capabilities. A human-AI system can be characterized as a joint cognitive system in which humans and intelligent agents work as teammates for collaboration; (2) human-AI joint cognitive ecosystems: an intelligent ecosystem with multiple human-AI systems can be represented as a human-AI joint cognitive ecosystem. The overall performance of the ecosystem depends on optima collaboration and design across the multiple human-AI systems; (3) intelligent sociotechnical systems (iSTS): human-AI systems are design, developed, and deployed in an iSTS environment. The successful design, development, and deployment of a human-AI system within an iSTS environment depends on the synergistic optimization between the subsystems. This paper looks forward to the future research agenda of human factors science from three aspects: human-AI interaction, intelligent human-machine interface, and human-AI teaming. Analyses show that the three new research paradigms will benefit future research in human factors science. We believe the proposed research paradigms and the future research agenda will mutually promote each other, further advancing human factors science in the AI era.
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