Title
Development of estimating equation of machine operational skill by utilizing eye movement measurement and analysis of stress and fatigue
Abstract
For an establishment of a skill evaluation method for human support systems, development of an estimating equation of the machine operational skill is presented. Factors of the eye movement such as frequency, velocity, and moving distance of saccade were computed using the developed eye gaze measurement system, and the eye movement features were determined from these factors. The estimating equation was derived through an outlier test (to eliminate nonstandard data) and a principal component analysis (to find dominant components). Using a cooperative carrying task (cc-task) simulator, the eye movement and operational data of the machine operators were recorded, and effectiveness of the derived estimating equationwas investigated. As a result, it was confirmed that the estimating equation was effective strongly against actual simple skill levels (r = 0.56-0.84). In addition, effects of internal condition such as fatigue and stress on the estimating equation were analyzed. Using heart rate (HR) and coefficient of variation of R-R interval (Cvrri). Correlation analysis between these biosignal indexes and the estimating equation of operational skill found that the equation reflected effects of stress and fatigue, although the equation could estimate the skill level adequately.
Year
DOI
Venue
2013
10.1155/2013/515164
Adv. Human-Computer Interaction
Keywords
Field
DocType
operational skill,skill level,eye movement,utilizing eye movement measurement,correlation analysis,machine operational skill,eye movement feature,skill evaluation method,developed eye,actual simple skill level,operational data
System of measurement,Simulation,Computer science,Eye tracking,Grubbs' test for outliers,Eye movement,Biosignal,Saccade,Principal component analysis,Estimating equations
Journal
Volume
ISSN
Citations 
2013,
1687-5893
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Satoshi Suzuki19915.23
Asato Yoshinari200.34
Kunihiko Kuronuma300.34