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Assessment of phasic work stress using autonomic indices
Authors:Mieko Ohsuga   Futomi Shimono  Hirokazu Genno
Affiliation:

a Advanced Technology R&D Center, Mitsubishi Electric Corp., 8-1-1, Tsukaguchi-Honmachi, Amagasaki, Hyogo, 661-8661 Japan

b Mechatronics Research Center, SANYO Electric Co. Ltd., Osaka, Japan

Abstract:The present paper concerns the assessment of phasic work stress using autonomic indices such as skin temperature, respiratory measures, and heart rate, blood pressure, and their variabilities. A physiological model of the autonomic regulation of the cardiovascular and respiratory systems is also introduced in order to simulate and interpret the changes in these indices. Two experiments were conducted to investigate high tension and monotony as two types of mental work stress. A tracking task was used to induce high-tension work stress with and without an instruction intended to induce additional emotional stress. The same tracking task was repeated 12 times to simulate monotonous work stress. Fifty healthy adults participated in each experiment. Many physiological measures showed task-dependent changes in the high-tension experiment and at the beginning of the monotonous stress condition. These changes were explained by sympathetic activation, parasympathetic withdrawal, and respiratory rate activation. An additional drop in skin temperature and an additional HR increase were caused by the stressful instruction, which may reflect an emotional strain and can be explained by sympathetic activation. Furthermore, the mid-frequency component (approx. 0.1 Hz) of respiration and respiratory instability showed an obvious increase during the course of the monotonous stress experiment, which may reflect boredom and disgust. It was concluded that multidimensional recordings of autonomic measures that can be obtained during work without extra load on the worker would be helpful to assess different types of phasic work stress. The proposed model was further shown to be able to detect periods of stress in a complex work environment.
Keywords:Work stress   Autonomic indices   Skin temperature   Heart rate   Heart rate variability   Respiration   Blood pressure
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