Skip to main content

Environment-Factor-Intellectual Concentration (EFiC) Framework: Method for Deriving Mechanism for Improving Workplace Environment

  • Conference paper
  • First Online:
Intelligent Human Systems Integration 2019 (IHSI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 903))

Included in the following conference series:

  • 2760 Accesses

Abstract

In this paper, a framework has been examined for quantitatively analyzing the relation between the workplace environment and intellectual concentration, through “factors” that connect between them, in order to improve intellectual concentration in the office. Specifically, “human characteristics” have been focused on and the factors affecting intellectual concentration was categorized into two groups. Using the factors, the measurement method and the quantification method have been considered and EFiC framework (Environment-Factor-intellectual Concentration) has been proposed for deriving the mechanism of intellectual concentration affected by the workplace environment. In order to confirm the effectiveness of EFiC framework, it was applied to the measurement data acquired in a past experiment of the intellectual concentration affected by lighting environment. As a result, concrete suggestions to improve the operating environment based on the characteristics of people were obtained. By applying the framework to measurement experiments of various intellectual concentration, it is expected that effective suggestions for improving intellectual concentration will be obtained.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Tanabe, S., Nishihara, N.: Productivity and fatigue. Indoor Air 2004, 126–133 (2004)

    Article  Google Scholar 

  2. Bosch-Sijtsema, P.M., Ruohomaki, V., Vartiainen, M.: Knowledge work productivity in distributed teams. J. Knowl. Manag. 13(6), 533–546 (2009)

    Article  Google Scholar 

  3. Wargocki, P., Wyon, D.P., Fanger, P.O.: Productivity is affected by the air quality in offices. Proc. Healthy Build. 2000, 635–640 (2000)

    Google Scholar 

  4. Fisk, W.J., Price, P.N., Faulkner, D., Sullivan, D.P., Dibartolomeo, D.L., Federspiel, C.C., Liu, G., Lahiff, M.: Worker performance and ventilation: analyses of time-series data for a group of call-center workers. Indoor Air 2002, 784–795 (2002)

    Google Scholar 

  5. Kroner, W.M., Stark-Martin, J.A.: Environmentally responsive workstation and worker productivity. ASHARE Trans. 100, 750–755 (1994)

    Google Scholar 

  6. Sensharma, N.P.: An extension of a rational model for evaluation of human responses, occupant performance, and productivity. healthy buildings 2000. In: Workshop, vol. 9 (2000)

    Google Scholar 

  7. Swain, A.D., Guttmann, H.E.: Handbook of human reliability analysis with emphasis on nuclear power plant applications, pp. 51–76. NRC, U.S.A (1983)

    Google Scholar 

  8. Matthews, G., Jones, D.M.: Refining the measurement of mood: the UWIST mood adjective checklist. Br. J. Psychol. 81(1), 17–42 (1990)

    Article  Google Scholar 

  9. Terasaki, M., Kishimoto, Y., Koga, A.: Construction of a multiple mood scale. Jpn. J. Psychol. 62(6), 350–356 (1991–1992)

    Google Scholar 

  10. Working Group for Occupational Fatigue of Japan Society for Occupational Health : Handbook of Industrial Fatigue. Labor Standards Committee (1988)

    Google Scholar 

Download references

Acknowledgements

This work was supported by JSPS KAKENHI Grant Number 17H01777.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kyoko Ito .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ito, K., Kamihigashi, D., Ishii, H., Shimoda, H. (2019). Environment-Factor-Intellectual Concentration (EFiC) Framework: Method for Deriving Mechanism for Improving Workplace Environment. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_52

Download citation

Publish with us

Policies and ethics