Abstract
Aiming to reveal the mechanism of intellectual productivity variation of office workers, the authors analyzed the behavior of subjective experiment assuming office work, and proposed an intellectual productivity model. The model is a three state transit model assuming “working state”, “short-term rest state” and “long-term rest state”. A subject experiment was conducted where illuminance on the desk and work motivation were controlled to vary their productivity. The result was analyzed with this model and it is confirmed that the model can explain the productivity variation.
Chapter PDF
Similar content being viewed by others
References
Lomonaco, G., Miller, D.: Environmental Satisfaction, Personal Control and the Positive Correlation to Increased Productivity. Johnson Controls, Inc. (1997)
Brill, M.: Using Office Design to Increase Productivity, vol. 1. Buffalo Workplace Design and Productivity Inc. (1984)
Enomoto, K., Kondo, Y., Obayashi, F., Iwakawa, M., Ishii, H., Shimoda, H., Terano, M.: An Experimental Study on Improvement of Office Work Productivity by Circadian Rhythm Light, WMSCI 2008, vol. 6, pp. 121–126 (2008)
Bills, A.G.: Blocking: A new principle of mental fatigue. American Journal of Psychology (43), 230–245 (1931)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Miyagi, K., Oishi, K., Uchiyama, K., Ishii, H., Shimoda, H. (2013). Proposal of Intellectual Productivity Model Based on Work State Transition. In: Harris, D. (eds) Engineering Psychology and Cognitive Ergonomics. Understanding Human Cognition. EPCE 2013. Lecture Notes in Computer Science(), vol 8019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39360-0_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-39360-0_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39359-4
Online ISBN: 978-3-642-39360-0
eBook Packages: Computer ScienceComputer Science (R0)