For an establishment of a skill evaluation method for human support systems, development of an estimating equation of the\r\nmachine operational skill is presented. Factors of the eye movement such as frequency, velocity, and moving distance of saccade\r\nwere computed using the developed eye gaze measurement system, and the eye movement features were determined from these\r\nfactors. The estimating equation was derived through an outlier test (to eliminate nonstandard data) and a principal component\r\nanalysis (to find dominant components). Using a cooperative carrying task (cc-task) simulator, the eye movement and operational\r\ndata of themachine operatorswere recorded, and effectiveness of the derived estimating equationwas investigated.As a result, it was\r\nconfirmed that the estimating equation was effective strongly against actual simple skill levels (?? = 0.56ââ?¬â??0.84). In addition, effects\r\nof internal condition such as fatigue and stress on the estimating equation were analyzed. Using heart rate (HR) and coefficient of\r\nvariation of R-R interval (??vrri). Correlation analysis between these biosignal indexes and the estimating equation of operational\r\nskill found that the equation reflected effects of stress and fatigue, although the equation could estimate the skill level adequately.
Loading....