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.
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References
International WELL Building Institute. https://www.wellcertified.com/about-iwbi/
Csikszentmihalyi, M., Larson, R.: Validity and reliability of the experience-sampling method. J. Nerv. Ment. Dis. 175, 526–536 (1987)
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)
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)
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)
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
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
Rafaie, M., Tesfay, M., Alsaleem, F.: Utilizing wearable devices to design personal thermal comfort model. In: International High Performance Buildings Conference, vol. 246 (2018)
Fanger, PO.: Calculation of thermal comfort-introduction of a basic comfort equation. ASHRAE Trans. 73 (1967)
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
Fanger, P.: Assessment of thermal comfort in practice. Br. J. Ind. Med. 30(4), 313–324 (1973)
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
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
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
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)
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
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
Laurentin, C., Bermtto, V., Fontoynont, M.: Light source type on visual appraisal. Light Res. Technol. 32, 223–233 (2000)
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)
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
Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 9(39), 1161–1178 (1980). https://doi.org/10.1037/h0077714
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
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
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)
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
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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
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