Human-Machine Interactive Collaborative Decision-Making Based on Large Model Technology: Application Scenarios and Future Developments

Intelligent machines supported by large language models and multimodal fusion technologies possess capabilities such as language understanding, deep learning, and autonomous cognition. They can simulate natural human-to-human dialogue interactions and promote human-machine collaborative decision-making that combines the advantages of human intelligence and machine intelligence. This article mainly explores the basic principles, key technologies, application scenarios, and future developments of the human-machine interactive collaborative decision-making system based on large model technology. Human-machine interactive collaborative decision-making unfolds the decision-making process through a chain of determining the decision-making task, dividing labor between humans and machines, interacting and collaborating between humans and machines, and implementing decision-making choices. Natural language processing, multimodal fusion, machine learning, and deep learning are the key technologies for humanmachine collaboration. Human-machine collaborative decisionmaking can be applied in fields such as business decision-making, intelligent production, intelligent driving, and medical diagnosis. In the future, human-machine collaboration will develop in directions such as large model experts, embodied intelligent agents, and braincomputer interface interactions.