基于视觉感知的用户兴趣度预测分析  

Analysis on User Interest Prediction Based on Visual Perception

作　　者：吴俊杰 陈庆锋 朱昆 杨林[2] WU Junjie;CHEN Qingfeng;ZHU Kun;YANG Lin(Early Warning Academy,Hubei 430019,China;PLA 31638,Yunnan 650034,China;PLA 31663,Yunnan 650034,China)

机构地区：[1]空军预警学院,湖北430019 [2]中国人民解放军31638部队,云南650034 [3]中国人民解放军31663部队,云南650034

出　　处：《电子技术（上海）》2022年第11期49-51,共3页Electronic Technology

摘　　要：阐述在用户与情报系统交互中,以用户兴趣度作为切入点,利用眼动追踪技术采集眼动数据,通过数据挖掘分析眼动注视点信息与用户兴趣度的内在联系,提出了基于眼动轨迹的用户兴趣度算法,预测结果能够作为评估情报质量的重要依据,通过眼动实验验证了该方法的有效性和合理性。This paper is explained that in the interaction between users and intelligence systems,user interest is used as the entry point,eye tracking technology is used to collect eye movement data,the intrinsic connection between eye gaze point information and user interest is analysed through data mining,and a user interest algorithm based on eye movement trajectory is proposed,the prediction results can be used as an important basis for assessing intelligence quality,and the effectiveness and rationality of the method is verified through eye movement experiments.

关 键 词：计算机系统 情报用户 隐式反馈 眼动轨迹 兴趣度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]