Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and Fatigue
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 measure...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Advances in Human-Computer Interaction |
| Online Access: | http://dx.doi.org/10.1155/2013/515164 |
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| _version_ | 1832552689336057856 |
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| author | Satoshi Suzuki Asato Yoshinari Kunihiko Kuronuma |
| author_facet | Satoshi Suzuki Asato Yoshinari Kunihiko Kuronuma |
| author_sort | Satoshi Suzuki |
| collection | DOAJ |
| description | 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 equation was 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. |
| format | Article |
| id | doaj-art-1c2b88a7ac5544569d0f745502939d0b |
| institution | Kabale University |
| issn | 1687-5893 1687-5907 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Human-Computer Interaction |
| spelling | doaj-art-1c2b88a7ac5544569d0f745502939d0b2025-02-03T05:58:06ZengWileyAdvances in Human-Computer Interaction1687-58931687-59072013-01-01201310.1155/2013/515164515164Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and FatigueSatoshi Suzuki0Asato Yoshinari1Kunihiko Kuronuma2School of Science and Technology for Future Life, Department of Robotics and Mechatronics, Tokyo Denki University, 5 Asahi-chou, Senju, Adachi-ku, Tokyo 120-8551, JapanHitachi Communication Networks Ltd., 1-1-10 Ohmorikita, Ohta-ku, Tokyo 143-0016, JapanFuji Heavy Industries Ltd., 3-9-6 Ohsawa, Mitakashi, Tokyo 181-8577, JapanFor 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 equation was 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.http://dx.doi.org/10.1155/2013/515164 |
| spellingShingle | Satoshi Suzuki Asato Yoshinari Kunihiko Kuronuma Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and Fatigue Advances in Human-Computer Interaction |
| title | Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and Fatigue |
| title_full | Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and Fatigue |
| title_fullStr | Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and Fatigue |
| title_full_unstemmed | Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and Fatigue |
| title_short | Development of Estimating Equation of Machine Operational Skill by Utilizing Eye Movement Measurement and Analysis of Stress and Fatigue |
| title_sort | development of estimating equation of machine operational skill by utilizing eye movement measurement and analysis of stress and fatigue |
| url | http://dx.doi.org/10.1155/2013/515164 |
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