Skip to main content

Abstract

In the present research, we investigated the factors that affect comfort in the office and individual differences therein. Aside from meta-analysis research, factors that affect comfort were investigated individually (such as thermal factors, lighting, air pollutants, and so on), and the relative importance or relationship between them has not been investigated directly. We conducted a two-week survey in a corporate office and gathered 2075 responses from occupants. For data collection, we applied a method that combined experience sampling method with the evaluation grid method, which allowed us to gather a lot of data in daily situations. The results revealed that subjective comfort was evoked by various factors such as thermal factors, light, sound, inside, and so on. Subjective comfort did not show a significant correlation with the objective thermal comfort index (predicted mean vote; PMV), and subjective productivity was correlated with subjective comfort but not with objective comfort. These results indicate the importance of subjective factors in addition to objective factors. In addition, the 147 occupants were divided into three clusters (inside cluster, balanced cluster, and thermal cluster), each of which had different characteristics indicating the individual differences in components of comfort. In the present research, we succeeded in the reproduction of our previous research, which was conducted in a different season, emphasizing the validity of the present results.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Similar content being viewed by others

References

  1. International WELL Building Institute. https://www.wellcertified.com/about-iwbi/

  2. Csikszentmihalyi, M., Larson, R.: Validity and reliability of the experience-sampling method. J. Nerv. Ment. Dis. 175, 526–536 (1987)

    Article  Google Scholar 

  3. Sanui, J.: Visualization of users’ requirements: introduction of the evaluation grid method. In: Proceedings of the 3rd Design Decision Support Systems in Architecture Urban Planning Conference, vol. 1, pp. 365–374 (1996)

    Google Scholar 

  4. Sugimoto, M., et al.: Components of comfort in the office and its individual differences. In: Proceedings of the 14th International Symposium on Medicine in Information and Communication Technology (2020)

    Google Scholar 

  5. Wargocki, P., Frontczak, M., Stefano, S., Goins, J., Arens, E., Zhang, H.: Satisfaction and self-estimated performance in relation to indoor environmental parameters and building features. In: 10th International Conference on Healthy Buildings. International Society of Indoor Air Quality and Climate (2012)

    Google Scholar 

  6. Cui, W., Cao, G., Park, J.H., Ouyang, Q., Zhu, Y.: Influence of indoor air temperature on human thermal comfort, motivation and performance. Build. Environ. 68, 114–122 (2013). https://doi.org/10.1016/j.buildenv.2013.06.012

    Article  Google Scholar 

  7. Liu, W., Lian, Z., Liu, Y.: Heart rate variability at different thermal comfort levels. Eur. J. Appl. Physiol. 103, 361–366 (2008). https://doi.org/10.1007/s00421-008-0718-6

    Article  Google Scholar 

  8. Rafaie, M., Tesfay, M., Alsaleem, F.: Utilizing wearable devices to design personal thermal comfort model. In: International High Performance Buildings Conference, vol. 246 (2018)

    Google Scholar 

  9. Fanger, PO.: Calculation of thermal comfort-introduction of a basic comfort equation. ASHRAE Trans. 73 (1967)

    Google Scholar 

  10. Van Hoof, J.: Forty years of Fanger’s model of thermal comfort: comfort for all? Indoor Air 18, 182–201 (2008). https://doi.org/10.1111/j.1600-0668.2007.00516.x

    Article  Google Scholar 

  11. Fanger, P.: Assessment of thermal comfort in practice. Br. J. Ind. Med. 30(4), 313–324 (1973)

    Google Scholar 

  12. Hwang, T., Jeong, T.K.: Effects of indoor lighting on occupants’ visual comfort and eye health in a green building. Indoor Built Environ. 20, 75–90 (2011). https://doi.org/10.1177/1420326X10392017

    Article  Google Scholar 

  13. Winzen, J., Albers, F., Marggraf-Micheel, C.: The influence of coloured light in the aircraft cabin on passenger thermal comfort. Light. Res. Technol. 46, 465–475 (2014). https://doi.org/10.1177/1477153513484028

    Article  Google Scholar 

  14. Meyers-Levy, J., Zhu, R.: The Influence of ceiling height: the effect of priming on the type of processing that people use. J. Consum. Res. 34, 174–186 (2007). https://doi.org/10.1086/519146

    Article  Google Scholar 

  15. Terazawa, A., Inomata, K., Nagata, N., Koyama, T., Okushi, A.: Individual differences in influence of mood on creativity task performance. In: Proceedings of HCG symposium 2018, B-7-2 (2018). (Japanese article with English abstract)

    Google Scholar 

  16. Indraganti, M., Rao, K.D.: Effect of age, gender, economic group and tenure on thermal comfort: a field study in residential buildings in hot and dry climate with seasonal variations. Energy Build. 42, 273–281 (2010). https://doi.org/10.1016/j.enbuild.2009.09.003

    Article  Google Scholar 

  17. Nakano, J., Tanabe, S., Kimura, K.: Differences in perception of indoor environment between Japanese and non-Japanese workers. Energy Build. 34, 615–621 (2002). https://doi.org/10.1016/S0378-7788(02)00012-9

    Article  Google Scholar 

  18. Laurentin, C., Bermtto, V., Fontoynont, M.: Light source type on visual appraisal. Light Res. Technol. 32, 223–233 (2000)

    Article  Google Scholar 

  19. Katahira, K.: Investigation of effects of micro-bubble bathing using psychological scale. Ergonomics 50, 29–34 (2014). https://doi.org/10.1007/bf02904077. (Japanese article with English abstract)

  20. Wyon, D.P.: The effects of indoor air quality on performance and productivity. Indoor Air Suppl. 14(Suppl 7), 92–101 (2004). https://doi.org/10.1111/j.1600-0668.2004.00278.x

    Article  Google Scholar 

  21. Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 9(39), 1161–1178 (1980). https://doi.org/10.1037/h0077714

    Article  Google Scholar 

  22. Onoue, Y., Kukimoto, N., Sakamoto, N., Koyamada, K.: E-Grid: a visual analytics system for evaluation structures. J. Vis. 19(4), 753–768 (2016). https://doi.org/10.1007/s12650-015-0342-6

    Article  Google Scholar 

  23. Landis, J.R., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics 33, 159–174 (1977). https://doi.org/10.2307/2529310

    Article  MATH  Google Scholar 

  24. Fransson, N., Västfjäll, D., Skoog, J.: In search of the comfortable indoor environment: a comparison of the utility of objective and subjective indicators of indoor comfort. Build. Environ. 42, 1886–1890 (2007)

    Article  Google Scholar 

  25. Song, Y., Mao, F., Liu, Q.: Human comfort in indoor environment: a review on assessment criteria, data collection and data analysis methods. IEEE Access 7, 119774–119786 (2019). https://doi.org/10.1109/access.2019.2937320

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Noriko Nagata .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sugimoto, M. et al. (2020). Individual Differences in Office Comfort: What Affects Comfort Varies by Person. In: Duffy, V. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health. HCII 2020. Lecture Notes in Computer Science(), vol 12198. Springer, Cham. https://doi.org/10.1007/978-3-030-49904-4_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-49904-4_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49903-7

  • Online ISBN: 978-3-030-49904-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics