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Research on Combat Data Visualization Interface Design Based on Cognitive Load Theory

  • Weiwei Chen,
  • Xiaoye Chen,
  • Linchuan Qu,
  • Ziwei Zhou

摘要

This paper takes a cognitive psychology perspective, firstly analyzing the cognitive load issues in combat data visualization interfaces. Secondly, through methods of user experience and interview statistics, based on the cognitive load causal model, the cognitive load issues in combat data visualization interfaces are analyzed and summarized in terms of cognition and task aspects from the evaluation dimensions. Eleven relatively common factors are selected through frequency statistics, determining the cognitive load types corresponding to each factor, and assessing the cognitive load level of each factor through Paas scale scoring. Finally, based on the Balanced Cognitive Load Theory, five principles for the design of combat data visualization interfaces are proposed: hierarchical information display, simplified data presentation, clear chart meanings, mission-oriented design, and personalized customization for users.