基于眼动模式的隐式意图识别分类方法研究  

Research on Implicit Intention Recognition and Classification Based on Eye Movement Pattern

作　　者：马丽莎[1] 吕健[1] 潘伟杰[1] 单军军[1] 平正强 MA Lisha;LV Jian;PAN Weijie;SHAN Junjun;PING Zhengqiang(Key Laboratory of Advanced Manufacturing Technology, Ministry of Education, Guizhou University, Guiyang Guizhou 550025, China)

机构地区：[1]贵州大学现代制造技术教育部重点实验室,贵州贵阳550025

出　　处：《图学学报》2017年第3期332-340,共9页Journal of Graphics

基　　金：贵州省科技计划项目(黔科合J字[2015]2043;黔科合LH字[2014]7644;[2014]7645);贵州省教育厅科技项目(黔教研合JYSZ字[2014]004)

摘　　要：在心理学与认知科学中意图建模与识别被认为是创造人机交互的新模式,解释用户的隐式意图识别一直是交互设计研究的热点。为此提出了基于眼动模式和瞳孔大小变化的隐式意图识别方法,建立了测量瞳孔大小变化的基线模型,以榨汁机为例进行了眼动实验。借助分类器处理实验数据,将隐式意图分为非目的性意图和目的性意图。实验结果表明,论文探讨的内容对用户隐式意图的识别研究有一定的参考意义,可为产品或系统研发提供支持。In the psychology and cognitive science,intentional modeling and recognition are considered to be the new models for creating human-computer interaction.Explaining user's implicit intention recognition has been a hotspot in interaction design research.In this study,an implicit intention recognition system based on eye movement pattern and pupil size change was proposed.A baseline model was established to measure pupil size change.Eye movement experiment was conducted with a juicer as an example.Finally,the implicit intention is divided into two types:unintentional intention and purposeful intention,by using the classifier to process the experimental data.The experimental results show that the discussion of this paper has some reference significance to the research of implicit intention recognition,and provides support for product or system research and development.

关 键 词：人机交互 眼动模式 隐式意图 分类器 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]