Heart Rate as an Index of the Mental Load

Ishibashi, Tomikazu; Ohtani, Akira; Miura, Takeo

doi:10.1539/joh1959.10.377

Cited by 4 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mean value during the task II was significantly higher than that during the task I (P<0.01). Furthermore, there was no significant difference between the mean values after the tasks I and II, but in six subjects (2,3,5,7,9,10) the mean values after the task II tended to be high as compared with those after the task I.…”

Section: Heart Rate In Experiments I and Iimentioning

confidence: 76%

Comparison of Heart Rate, Galvanic Skin Reflex, Plethysmogram, Subjective Feelings and Performamce in Vigilance and Arithmetical Calculation Tasks

Kato

1970

INDUSTRIAL HEALTH

View full text Add to dashboard Cite

Section: Heart Rate In Experiments I and Iimentioning

confidence: 76%

Comparison of Heart Rate, Galvanic Skin Reflex, Plethysmogram, Subjective Feelings and Performamce in Vigilance and Arithmetical Calculation Tasks

Kato

1970

INDUSTRIAL HEALTH

View full text Add to dashboard Cite

“…stressed and relaxed). There are various conventional studies which proved the validation of pupil diameter as the index of load on working memory [6][7][8][9]. On the other hand, there is a study which suggests a relationship between speed of information processing and the size of pupil diameter [18].…”

Section: B Pupil Diametermentioning

confidence: 99%

“…In this point, CLT is highly compatible with the evaluation of the intellectual productivity. In order to evaluate cognitive load, various conventional studies [6][7][8][9] employed physiological indices (e.g. heart rate and pupil diameter).…”

Section: Introductionmentioning

confidence: 99%

An Estimation Method of Intellectual Work Performance by Using Physiological Indices

Kunimasa

Seo

Shimoda

et al. 2019

Transactions of the Society of Instrument and Control Engineers

View full text Add to dashboard Cite

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 evaluates task performance of intellectual workers by using several physiological indices (pupil diameter and heart rate variability) has been proposed. As 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 (R 2) 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 evaluation.

show abstract

“…If the task is regarded as mental load, the fluctuation of physiological condition related to tasks are generally correlated with the acceleration of sympathetic nervous system accompanied by active processing, such as concentration to task, significant increase of MP as well as HR, correlation of task difficulty increase and HR increase . Considering those described above, this study evaluates the mental load and the processing patterns given by the corresponding task by quantifying physiological fluctuation for synchronization task to periodic stimulation using sympathetic nervous system index.…”

Section: Psychophysiological Evaluation Regarding Periodic Fluctuatiomentioning

confidence: 99%

Psychophysiological Assessment of the Adaptive Asynchronous Human–Machine System on the Operation Period Discrimination Characteristic

Nozawa

Hosoda

2016

Elect Comm in Japan

View full text Add to dashboard Cite

SUMMARY This paper proposes a concept of the adaptive asynchronous human machine system (Async‐HMS) which maintains asynchronous periodic operations against user's actions for avoiding user intention. In order to find the dynamics of the operation period presented by Async‐HMS, discrimination thresholds of the operation period were obtained by psychophysical experiment. According to the thresholds, three levels of fluctuation of the operation period were defined as “constant”, “unrecognizable”, and “recognizable”. Psychophysiological measurement was conducted on the performance of the synchronized key typing task by the three levels of the operation period. A synchronization error as performance index, the hemodynamic parameters as indices of autonomic nervous system's activity, and the amount of the senses as psychological indices were evaluated. As a result, monotonous feeling was eliminated without compromising the performance in case of “unrecognizable” fluctuations in the operation period presented by Async‐HMS.

show abstract

Heart Rate as an Index of the Mental Load

Cited by 4 publications

References 0 publications

Comparison of Heart Rate, Galvanic Skin Reflex, Plethysmogram, Subjective Feelings and Performamce in Vigilance and Arithmetical Calculation Tasks

Comparison of Heart Rate, Galvanic Skin Reflex, Plethysmogram, Subjective Feelings and Performamce in Vigilance and Arithmetical Calculation Tasks

An Estimation Method of Intellectual Work Performance by Using Physiological Indices

Psychophysiological Assessment of the Adaptive Asynchronous Human–Machine System on the Operation Period Discrimination Characteristic

Contact Info

Product

Resources

About