Mission-oriented human-machine interaction information importance assessment of deep-sea manned submersible
To identify the differences of the importance of human-machine interaction information in the cockpit of deep-sea manned submersible during complex mission,a complex network-based human-machine interaction infor-mation importance assessment method was proposed.Taking the hover sampling task as the research object,the de-cision ladder model and task network modeling techniques were applied to identify the human-machine interaction in-formation elements and logical associations related to the complex task,and a complex network model of the interac-tion information was constructed.Based on the network topology feature parameters,the node global and local in-fluence effect assessment indexes were proposed from the perspective of the logical influence relationship between nodes,and the integrated value of interaction information node importance was calculated by combining the interpre-tive structural model hierarchical weight indexes to derive the hover sampling task human-computer interaction infor-mation importance ranking.The ranking results were compared with the other four algorithms,and the submariners were invited to evaluate the subjective importance of the interaction information in the context of the actual mission process based on the proof that the calculation was valid.The results showed that the importance ranking results ob-tained from the study were strongly correlated with the subjective ranking results of the submariners,and the identi-fication of important interaction information elements was consistent with the subjective perception of the submari-ners,which validated the effectiveness of the proposed method to identify the differences of the importance of hu-man-machine interaction information for complex tasks.
NETL
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