Abstract:

With the development of artificial intelligence technology， humans are increasingly dependent on machines intelligence to make the correct decisions. The evolution of machine intelligence is changing from detecting and recognizing human beings to perceiving and understanding human beings. The evolution process of decision-making model from the perspective of human-machine collaboration is reviewed， the definition of human factors capability is proposed and the characteristics such as measurability， individual differences， dynamics， and strong correlation are pointed out. Thus a calculation model of human factors capability is established and each index is measured. A human factors capability assessment method that incorporates a capability scale is proposed. The task scenarios of human-machine collaborative decision-making with human factor capabilities are focused on， and the interactive activities of human， machine， and environment are studied with full consideration of human characteristics and factors. Finally， the feasibility and effectiveness of the human factor capability assessment method is analyzed in specific application scenarios. This paper also look forward to the research directions of human factors capability research， in order to providing theoretical and practical references for solving the problem of human-machine collaborative decision-making in the era of artificial intelligence.

Key words: human-machine collaboration, collaborative decision-making, human factors capability, human factors