Presentation strategy evaluation and optimization method based on perception-judgment-decision link
By constructing a multi-dimensional information entropy model, a task completion timeliness model, and a causal clarity model, and combining them with multi-objective optimization methods, the problems of insufficient user cognitive load and causal logic understanding in intelligent interface design were solved. This enabled the scientific evaluation and optimization of interface design, and improved user experience and task execution efficiency.
Patent Information
- Application Number
- CN202511148478.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-17
- Publication Date
- 2025-11-21
AI Technical Summary
Existing intelligent interface designs lack quantitative assessment of user cognitive load, inaccurate assessment of task completion time, and insufficient understanding of causal logic, leading to information overload, user fatigue, and frequent operational errors, making it difficult to improve user experience and task execution effectiveness.
We construct a multi-dimensional information entropy model, a task completion timeliness model, and a causal clarity model. Combined with multi-objective Pareto optimization, we optimize the interface design scheme through a genetic algorithm to quantify the interface cognitive load, task completion timeliness, and causal clarity, thereby achieving scientific evaluation and optimization.
有效降低认知负荷，缩短任务完成时间，增强用户对任务因果关系的理解，提升智能辅助系统界面的可用性和安全性。