计算机科学 ›› 2021, Vol. 48 ›› Issue (8): 315-321.doi: 10.11896/jsjkx.200500031
朱晨爽, 程时伟
ZHU Chen-shuang, CHENG Shi-wei
摘要: 针对复杂虚拟现实场景中传统导航方法对用户支持不足和用户沉浸感较低等问题,文中提出了基于梯度提升迭代决策树的二分类模型,利用用户在虚拟现实环境中使用辅助导航时需要的眼动数据,来分析和预测用户在任务过程中是否需要辅助导航。根据用户的注视序列对该模型进行评估,得到用户需求判定方法的平均精确率和准确率分别为77.6%与77.2%。此外,文中借助所设计模型实现了一个导航辅助原型系统,通过对用户的眼动数据进行分类,来自动呈现导航辅助界面。实验结果表明,与传统的永久性辅助导航方法相比,新提出的自适应辅助导航具有更好的用户体验。
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