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Li Yuanfeng, Wu Qun, Zhang Jian, Niu Rong, Zhu Yifan, Zong Jiecong. Layout Design of Medical Terminal Interface Combining User-Oriented and Genetic Algorithm[J]. Journal of Computer-Aided Design & Computer Graphics, 2021, 33(5): 662-670. DOI: 10.3724/SP.J.1089.2021.18338
Citation: Li Yuanfeng, Wu Qun, Zhang Jian, Niu Rong, Zhu Yifan, Zong Jiecong. Layout Design of Medical Terminal Interface Combining User-Oriented and Genetic Algorithm[J]. Journal of Computer-Aided Design & Computer Graphics, 2021, 33(5): 662-670. DOI: 10.3724/SP.J.1089.2021.18338

Layout Design of Medical Terminal Interface Combining User-Oriented and Genetic Algorithm

  • In order to achieve the optimal interface design of the public terminal while improving user experience,this paper proposes an interface layout method that combines user orientation and a genetic algorithm.According to this method,the subjective cognition of users and their objective vision principle are integrated before conversion into a layout index.With the index of the interface layout scheme taken as the independent variable and the user experience value as the dependent variable,the cognitive relationship between the interface layout index and subjective user experience was modeled as a computable function.The expansion solution space was searched after the interface layout features were encoded using the slicing tree method.The specific steps include generating tree structure,determining the cutting method to obtain the best section tree,and adjusting the element nodes to identify the most satisfactory layout.With the registration interface and payment interface of the medical public terminal as an example,this method was applied to optimize its layout and then verified through a usability test.According to the experimental results,the usability indicators of the optimized interface layout was improved more significantly compared with the initial interface,suggesting the effectiveness of this method in the application of medical terminal interface design scenarios.Moreover,the generative auxiliary design of this kind is conducive to reducing the workload placed on designers and to enhancing efficiency.
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