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Erschienen in:
2022 | OriginalPaper | Buchkapitel
A Hierarchical Decision-Making Design in Human-Machine Interaction for Intelligent Systems
verfasst von : Peng Zhang, Baiqiao Huang, Pengyi Zhang, Kunfu Wang
Erschienen in: Man-Machine-Environment System Engineering: Proceedings of the 21st International Conference on MMESE
Verlag: Springer Singapore
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Abstract
The popularization and rapid development of intelligent systems reduces human workload. The reliability and efficiency of human-machine interaction in intelligent systems is key to the system’s accurate completion of tasks. Due to hardware failures or unreasonable software design and other reasons, some decisions made by the system may be wrong. If the users cannot correct them in time, these wrong decisions may be magnified layer by layer, causing irreparable losses. In response to this problem, a hierarchical decision-making design in human-machine interaction in an intelligent system is proposed in this paper. When an error occurs at a certain level, this design can correct the error by performing higher-priority manual intervention at a higher level, preventing serious consequences. This design provides method guidance for improving the efficiency and reliability of intelligent systems.