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978-3-319-60642-2_29.pdf | 485.34 kB | Adobe PDF | 見る/開く |
タイトル: | A trial of intellectual work performance estimation by using physiological indices |
著者: | Kunimasa, Shutaro Seo, Kyoich Shimoda, Hiroshi https://orcid.org/0000-0002-5231-4955 (unconfirmed) Ishii, Hirotake https://orcid.org/0000-0002-5638-4862 (unconfirmed) |
著者名の別形: | 國政, 秀太郎 下田, 宏 石井, 裕剛 |
キーワード: | Intellectual productivity Machine learning Physiological indices Pupil diameter Heart rate variability |
発行日: | 2018 |
出版者: | Springer Verlag |
誌名: | Advances in Intelligent Systems and Computing |
巻: | 586 |
開始ページ: | 305 |
終了ページ: | 315 |
抄録: | In order to evaluate the intellectual productivity quantitatively, most of conventional studies have utilized task performance of cognitive tasks. Meanwhile, more and more studies use physiological indices which reflect cognitive load so as to evaluate the intellectual productivity quantitatively. In this study, the method which estimates task performance of intellectual workers by using several physiological indices (pupil diameter and heart rate variability) has been proposed. As the estimation models of task performance, two machine learning models, Support Vector Regression (SVR) and Random Forests (RF), have been employed. As the result of a subject experiment, it was found that coefficient of determination (R²) of SVR was 0.875 and higher than that of RF (p < 0.01). The result suggested that pupil diameter and heart rate variability were effective as the explanatory variables and SVR estimation was also effective in task performance estimation. |
記述: | The AHFE 2017 International Conference on Neuroergonomics and Cognitive Engineering, July 17–21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA. |
著作権等: | This is a post-peer-review, pre-copyedit version of an article published in Advances in Intelligent Systems and Computing. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-319-60642-2_29. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 This is not the published version. Please cite only the published version. |
URI: | http://hdl.handle.net/2433/236028 |
DOI(出版社版): | 10.1007/978-3-319-60642-2_29 |
出現コレクション: | 学術雑誌掲載論文等 |
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