摘要
为提高测井车中控舱人机界面交互设计的合理性,提出一种基于眼动追踪的综合评价方法。为提高评价的准确性及可靠性,通过眼动试验模拟目标用户在工作环境中的认知过程。首先分析综合热点图,直观得到认知焦点分布情况,其次选择首视点持续时间、总注视时间、注视点个数、平均瞳孔直径作为评价指标进行数据采集,通过结合熵的综合赋权法将不同眼动数据进行量化计算,加权比较后得到各设计方案的优异度排序,从而优选测井车中控舱人机界面交互设计方案。最后以某品牌某型号测井车中控舱人机界面交互设计为例,结合眼动试验进行实例验证,结果表明:基于眼动追踪的综合评价模型可辅助修正设计方案,有效提高概念设计阶段的效率,为测井车中控舱等大型机械控制舱人机界面交互设计提供评价方法。
In order to improve the feasibility of human-machine interface interaction design of logging vehicle control cabin,a comprehensive evaluation method based on eye-tracking was proposed. In order to improve the accuracy and reliability of evaluation, the cognitive process of target users in the work environment was simulated using eye movement experiment. First of all,the hotspot map was analyzed to obtain the cognitive focus distribution intuitively. Second,the duration of first viewpoint, total fixation time, number of fixation and average pupil diameter were taken as evaluation to collection. The different eye movement data were performed quantitative calculation using comprehensive weighting method combined with entropy. After the weighted comparison,the ranking of each design scheme was obtained,so that the optimal man-machine interface interactive design scheme of control cabin was optimized. Finally,a man-machine interface interactive design of logging vehicle control cabin was taken as an example to perform example verification combined with eye movement experiment. The results showed that the comprehensive evaluation model based on eye tracking could assist to correct the design scheme and improve the design efficiency in the conceptual design stage. This could provide evaluation method for human-machine interface interactive design of large mechanical control cabin such as logging vehicle.
作者
王淼
余隋怀
初建杰
WANG Miao;YU Sui-huai;CHU Jian-jie(School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072)
出处
《机械设计》
CSCD
北大核心
2018年第5期121-125,共5页
Journal of Machine Design
基金
国家自然科学基金资助项目(51105310)
高等学校学科创新引智计划资助项目(B13044)
关键词
人机交互
测井车中控舱
眼动追踪
熵
human-machine interaction
logging vehicle control cabin
eye tracking
entropy