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Analysis of the correlation between the regularity of work behavior and stress indices based on longitudinal behavioral data

Published: 22 October 2012 Publication History

Abstract

Increasingly, longitudinal behavioral data captured by various sensors are being analyzed to improve workplace performance. In this paper, we analyze the correlation between the regularity of workers' behavior and their levels of stress. We used a 23-month behavioral dataset for 18 workers that recorded their use of PCs and their locations in the office. We found that the principal eigenbehaviors extracted from the dataset with PCA represented typical work behaviors such as overwork using a PC and routine times for meetings. We found that more than 80% of each of the 18 workers' individual behaviors could be reconstructed using nine principal eigenbehaviors. In addition, the deviation ranges for the reconstruction accuracies were significantly different for workers in different positions. We conducted the correlation analysis between work behaviors of the workers and their stress level. Our results show a significant negative correlation (r > 0.69, p < 0.01) between the accuracy of reconstructed work behaviors and physical stress levels; and a significant positive correlation between the accuracy of reconstructed behavior and stress dissolution abilities. Our results suggest that the correlation between the stress level of workers and the regularity of their work behavior exists. This correlation will be useful for occupational healthcare.

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  • (2015)Life Record: A Smartphone-Based Daily Activity Monitoring SystemAdvances in Swarm and Computational Intelligence10.1007/978-3-319-20472-7_41(380-385)Online publication date: 2-Jun-2015

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      cover image ACM Conferences
      ICMI '12: Proceedings of the 14th ACM international conference on Multimodal interaction
      October 2012
      636 pages
      ISBN:9781450314671
      DOI:10.1145/2388676
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      Published: 22 October 2012

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      ICMI '12: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
      October 22 - 26, 2012
      California, Santa Monica, USA

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      • (2015)Life Record: A Smartphone-Based Daily Activity Monitoring SystemAdvances in Swarm and Computational Intelligence10.1007/978-3-319-20472-7_41(380-385)Online publication date: 2-Jun-2015

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