Abstract
We have developed a new method to estimate no only stress occurrence, but also various workplace stress types. The method relies on adaptive selection of physiological indices integrated into an intelligent multi-steps discrimination process. Preliminary results revealed the method promising to improve estimation accuracy of workplace stress types. The study reported here, has two purposes: investigate if it is effectively possible to estimate stress type independently from individual differences, and validate the performances of proposed method in real situation. Four subjects that were not part of the preliminary study were assigned whether a tape dictation task or a presentation task as real situation tasks. The occurrence of various types of harmful stress could be correctly discriminated, confirming proposed method as an effective solution to estimate stress type regardless individual differences.
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Acknowledgement
This research was supported by Japan Science and Technology Agency’s (JST) strategic sector for creation of advanced integrated sensing technologies for realizing safe and secure societies.
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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Lopez, G., Ide, H., Shuzo, M., Warisawa, S., Yamada, I. (2014). Workplace Stress Estimation from Physiological Indices in Real Situation. In: Cipresso, P., Matic, A., Lopez, G. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-319-11564-1_2
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DOI: https://doi.org/10.1007/978-3-319-11564-1_2
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