Eye movement is an important indicator of information-seeking behavior and provides insight into cognitive strategies which are vital for decision-making.Various measures based on eye movements have been proposed to c...Eye movement is an important indicator of information-seeking behavior and provides insight into cognitive strategies which are vital for decision-making.Various measures based on eye movements have been proposed to capture humans’ability to process information in a complex environment.The effectiveness of these measures has not yet been fully explored in the field of air traffic management.This paper presents a comparative study on eye-movement measures in air traffic controllers with different levels of working experience.Two commonly investigated oculomotor behaviors,fixation and saccades,together with gaze entropy,are examined.By comparing the statistical properties of the relevant metrics,it is shown that working experience has a notable effect on eye-movement patterns.Both fixation and saccades differ between qualified and novice controllers,with the former type of controller employing more efficient searching strategies.These findings are useful in enhancing the quality of controller training and contributing to an understanding of the information-seeking mechanisms humans use when executing complex tasks.展开更多
为定量研究海上交通事故人失误致因因素,分析各种人失误因素对事故的影响程度,从而达到控制人失误事故的最终目的.在引入人的不安全行为分类框架和"人—机—环境"系统的基础上,运用人因素分析与分类系统(Human Factors Analys...为定量研究海上交通事故人失误致因因素,分析各种人失误因素对事故的影响程度,从而达到控制人失误事故的最终目的.在引入人的不安全行为分类框架和"人—机—环境"系统的基础上,运用人因素分析与分类系统(Human Factors Analysis and Classification System,HFACS),提出海上交通事故人失误分析与分类系统(Human Error Analysis and Classification System for Marine TrafficAccident,HEACS-MTA),对海上交通事故人失误因素进行分类.运用灰色关联分析法(Grey Rela-tional Analysis,GRA)对事故形成原因进行定量分析,得出管理因素是事故的根本原因.导致事故发生的人失误因素依次为不安全行为的前提条件、不安全的监督、不安全行为和组织影响.展开更多
基金This research was supported by the National Natural Science Foundation of China(U1833126,U2033203,61773203,and 61304190).
文摘Eye movement is an important indicator of information-seeking behavior and provides insight into cognitive strategies which are vital for decision-making.Various measures based on eye movements have been proposed to capture humans’ability to process information in a complex environment.The effectiveness of these measures has not yet been fully explored in the field of air traffic management.This paper presents a comparative study on eye-movement measures in air traffic controllers with different levels of working experience.Two commonly investigated oculomotor behaviors,fixation and saccades,together with gaze entropy,are examined.By comparing the statistical properties of the relevant metrics,it is shown that working experience has a notable effect on eye-movement patterns.Both fixation and saccades differ between qualified and novice controllers,with the former type of controller employing more efficient searching strategies.These findings are useful in enhancing the quality of controller training and contributing to an understanding of the information-seeking mechanisms humans use when executing complex tasks.
文摘为定量研究海上交通事故人失误致因因素,分析各种人失误因素对事故的影响程度,从而达到控制人失误事故的最终目的.在引入人的不安全行为分类框架和"人—机—环境"系统的基础上,运用人因素分析与分类系统(Human Factors Analysis and Classification System,HFACS),提出海上交通事故人失误分析与分类系统(Human Error Analysis and Classification System for Marine TrafficAccident,HEACS-MTA),对海上交通事故人失误因素进行分类.运用灰色关联分析法(Grey Rela-tional Analysis,GRA)对事故形成原因进行定量分析,得出管理因素是事故的根本原因.导致事故发生的人失误因素依次为不安全行为的前提条件、不安全的监督、不安全行为和组织影响.
