虚拟现实环境下基于眼动跟踪的导航需求预测与辅助  

Prediction and Assistance of Navigation Demand Based on Eye Tracking in Virtual Reality Environment

作　　者：朱晨爽 程时伟[1] ZHU Chen-shuang;CHENG Shi-wei(School of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310023,China)

机构地区：[1]浙江工业大学计算机科学与技术学院,杭州310023

出　　处：《计算机科学》2021年第8期315-321,共7页Computer Science

基　　金：国家自然科学基金(61772468)。

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。In order to solve the problems of insufficient user support and low user immersion in traditional navigation methods in complex virtual reality scenes,this paper proposes a binary classification model based on the gradient boost decision tree,which uses eye movement data before and after the user’s need for auxiliary navigation in the VR environment to analyze and predict whether the user needs navigation during the task.The model is evaluated according to the user’s gaze sequence,and the average precision and accuracy of the user demand judgment method are 77.6%and 77.2%,respectively.In addition,we implemente a navi gation aid prototype system.By classifying the user’s navigation requirement based on eye movement data,the user interface of the prototype system can automatically present the map for navigation.Experimental results showed that,compared with the traditional permanent assisted navigation method,the adaptive assisted navigation proposed in this paper can provide better user experience.

关 键 词：虚拟现实 眼动跟踪 人机交互 导航 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]