著者

國政 秀太郎 瀬尾 恭一 下田 宏 石井 裕剛

出版者

ヒューマンインタフェース学会

雑誌

ヒューマンインタフェース学会論文誌 (ISSN:13447262)

巻号頁・発行日

vol.17, no.4, pp.395-410, 2015-11-25 (Released:2019-07-01)

参考文献数

26

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In order to evaluate intellectual productivity such as the efficiency of performing mental works, several studies have been conducted where the operational logs of mental tasks were evaluated. However, it is also necessary to analyze Cognitive Load in mental workers so that the productivity can be evaluated accurately. The authors therefore have proposed a Performance-Cognitive Load model which deals with both task performance and Cognitive Load. By using the model, they have also developed the inference method of the cognitive working states which can evaluate intellectual productivity in more detail than conventional methods. The operational logs of mental tasks as well as pupil diameter and heart rate of the worker were employed as input of this method. As the result of the subject experiment, the authors found that the feasibility of this method so as to evaluate cognitive working states could be suggested and this method could well explain the detail changes of their states. This method is expected to be the novel evaluation method of intellectual productivity.

著者

國政 秀太郎 宮城 和音 下田 宏 石井 裕剛

出版者

ヒューマンインタフェース学会

雑誌

ヒューマンインタフェース学会論文誌 (ISSN:13447262)

巻号頁・発行日

vol.16, no.1, pp.41-50, 2014-02-25 (Released:2019-07-01)

参考文献数

27

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Several studies aimed at evaluating intellectual productivity and specially designed tasks were given. However, the result may not be reflected the actual intellectual productivity because the designed tasks are different from office works. Meanwhile, there are two mental states (work and temporary rest state) in office workers which are changing alternatively during mental work. If the mental states of the workers can be detected, the productivity can be measured more accurately. In this study, the authors aimed at developing a detection method of temporary rest state while performing mental works by measuring physiological indices such as EEG, ECG, and EMG of extraocular muscles and orbicularis oculi muscle. From these measured indices, the authors extracted 6 features which were alpha and beta brain waves, low and high frequency waves of heart rate, and the intervals of eye blink and saccade eye movement. They were used to detect a temporary rest state by using Mahalanobis Discrimination Analysis. As a result of the subject experiment, it was found that the detection accuracy was 80.2%. This result shows the possibility to use the physiological indices as one of the mental state detection methods.