Individual difference in thermal comfort: A literature review

Wang, Zhe; Dear, Richard de; Luo, Maohui; Lin, Borong; He, Yutong; Ghahramani, Ali; Zhu, Yingxin

doi:10.1016/j.buildenv.2018.04.040

Cited by 417 publications

(185 citation statements)

References 79 publications

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“…44,47 As women's skin temperature increases, their level of thermal discomfort also increases. 48 Other studies report that women's thermal comfort levels were lower than men's, 36,46,47,[49][50][51][52] and these results are similar to those in our study.…”

Section: Discussionsupporting

confidence: 91%

Factors Affecting the Thermal Comfort of Perioperative Personnel in the OR

Karahan¹,

Ertürk²,

Uğurlu³

et al. 2020

AORN Journal

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Thermal comfort is an important component of any work setting and can be difficult to achieve in the complex OR environment. This comparative descriptive study sought to identify factors affecting the thermal comfort of perioperative personnel in the OR (N = 68). Researchers used the American Society of Heating, Refrigerating and Air‐Conditioning Engineers Thermal Sensation Scale and researcher‐developed surveys to collect data. The mean reported thermal comfort level was −0.44 (standard deviation 1.3), which is within acceptable parameters. Factors affecting thermal comfort were gender, professional role, and wearing additional clothing. Additionally, participants who complained about temperature or ventilation were less likely to report thermal comfort levels in the normal range. Health care facility leaders should consider the comfort needs of perioperative personnel when making purchasing decisions about ventilation systems and surgical clothing; however, they also should consider other factors (eg, surgeon comfort, permeability of protective clothing to blood and other body fluids).

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Section: Discussionsupporting

confidence: 91%

Factors Affecting the Thermal Comfort of Perioperative Personnel in the OR

Karahan¹,

Ertürk²,

Uğurlu³

et al. 2020

AORN Journal

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“…Today, about 70% of U.S. offices are open concept, and they accommodate a significant amount of the working population [20]. Shared offices expose multiple occupants to similar environmental conditions; however, this type of office neglects individual preferences and personal need [21]. For instance, it was found that females are more sensitive to cold exposures than males [22].…”

Section: Human-building Interactionsmentioning

confidence: 99%

“…We see the same trend among the data from China, another widely known collectivist culture. Conversely, 21 Americans were considered to be more environmentally friendly but less willing to discuss control options. This could be due in part because America's individualistic culture makes Americans less likely to discuss building control options with their co-workers.…”

Section: Lift Liftmentioning

confidence: 99%

Linking human-building interactions in shared offices with personality traits

Hong

Chen

Wang

et al. 2020

Building and Environment

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“…This approach, however, is redundant, problematic, time-consuming, and very expensive to deploy in the real world because it would require to collect, label, and train extensive new data for every person in the building. Also, once the models are deployed, there is no guarantee they would work as expected because thermal comfort is affected by unpredictable factors [1], [6].…”

Section: Thermal Comfort Model Calibrationmentioning

confidence: 99%

Affect-aware thermal comfort provision in intelligent buildings

Nkurikiyeyezu¹,

Yokokubo²,

Lopez³

2019

2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

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Predominant thermal comfort provision technologies are energy-hungry, and yet they perform crudely because they overlook the requisite precursors to thermal comfort. They also fail to exclusively cool or heat the parts of the body (e.g., the wrist, the feet, and the head) that influence the most a person's thermal comfort satisfaction. Instead, they waste energy by heating or cooling the whole room. This research investigates the influence of neck-coolers on people's thermal comfort perception and proposes an effective method that delivers thermal comfort depending on people's heart rate variability (HRV). Moreover, because thermal comfort is idiosyncratic and depends on unforeseeable circumstances, only person-specific thermal comfort models are adequate for this task. Unfortunately, using person-specific models would be costly and inflexible for deployment in, e.g., a smart building because a system that uses person-specific models would require collecting extensive training data from each person in the building. As a compromise, we devise a hybrid, cost-effective, yet satisfactory technique that derives a personalized person-specific-like model from samples collected from a large population. For example, it was possible to double the accuracy of a generic model (from 47.77% to 96.11%) using only 400 person-specific calibration samples. Finally, we propose a practical implementation of a real-time thermal comfort provision system that uses this strategy and highlighted its advantages and limitations.

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Individual difference in thermal comfort: A literature review

Cited by 417 publications

References 79 publications

Factors Affecting the Thermal Comfort of Perioperative Personnel in the OR

Factors Affecting the Thermal Comfort of Perioperative Personnel in the OR

Linking human-building interactions in shared offices with personality traits

Affect-aware thermal comfort provision in intelligent buildings

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