The use of language to express thermal sensation suggests heat acclimatization by Indonesian people

Tochihara, Yutaka; Lee, Jooyoung; Wakabayashi, Hisao; Wijayanto, Titis; Bakri, Ilham; Parsons, Ken

doi:10.1007/s00484-011-0519-1

Cited by 13 publications

(15 citation statements)

References 20 publications

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“…A similar study was conducted by Tochihara et al [348], but with Japanese, English and Indonesian people. The descriptor -cool‖ was associated with the thermal comfort sensation for Indonesians [348]. Both studies were conducted indoors [347,348], however authors did not specify the type of building.…”

Section: Thermal Comfort In Other Indoor Environmentssupporting

confidence: 55%

“…The authors concluded that it is necessary for a Korean scale to consider such descriptors, when mild hot environments are evaluated [347]. A similar study was conducted by Tochihara et al [348], but with Japanese, English and Indonesian people. The descriptor -cool‖ was associated with the thermal comfort sensation for Indonesians [348].…”

Section: Thermal Comfort In Other Indoor Environmentsmentioning

confidence: 69%

“…The descriptor -cool‖ was associated with the thermal comfort sensation for Indonesians [348]. Both studies were conducted indoors [347,348], however authors did not specify the type of building.…”

Section: Thermal Comfort In Other Indoor Environmentsmentioning

confidence: 96%

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A review of human thermal comfort in the built environment

Rupp

Vásquez

Lamberts

2015

Energy and Buildings

697

282

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Section: Thermal Comfort In Other Indoor Environmentssupporting

confidence: 55%

Section: Thermal Comfort In Other Indoor Environmentsmentioning

confidence: 69%

See 1 more Smart Citation

A review of human thermal comfort in the built environment

Rupp

Vásquez

Lamberts

2015

Energy and Buildings

697

282

View full text Add to dashboard Cite

“…Tochihara et al [10] conduct a questionnaire on the expression of heat sensation. They find that "cool" and "slightly cool" are within the range of thermal comfort for Indonesians from a tropical region but "slightly warm" and "warm" are also within the range of thermal comfort for Japanese people from a temperate region.…”

mentioning

confidence: 99%

“…Concerning the physiological response to heat stimuli, the above discussion implies that ethnic groups resid-ing in tropical regions have a strong resistance to the stimuli in comparison to ethnic groups from other regions. Only Tochihara et al [10] and Kurazumi et al [11] investigate physiological response with respect to heat stimuli. In addition, Kurazumi et al [11] is the only study to investigate ethnic differences in the effect of heat stimuli on the human body using thermal environmental evaluation index as an evaluation scale.…”

mentioning

confidence: 99%

Ethnic Differences in Thermal Responses between Thai and Japanese Females in Tropical Urban Climate

Kurazumi¹,

Ishii²,

Fukagawa³

et al. 2016

AJCC

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The outdoor thermal environment might become worse than at present. It causes health injuries through the deterioration of the outdoor thermal condition. It is necessary to study how humans stay outdoors and adjust to thermal conditions. The purpose of this study was to clarify the influence of the outdoor tropical urban thermal environment on a subject who has been acclimatized to the environment studied using the outdoor thermal environment evaluation index ETFe. In addition, the tendency of human impacts was clarified through comparison to subjects from a temperate thermal environment region. As a result, it was found that an ETFe of up to 35˚C could be recognized as a temperate thermal environment. However, when the ETFe was greater than 40˚C, the subject could not tolerate the environment. There was not a significant difference of psychological reaction between Thai people, who were acclimatized to the tropical climate, and Japanese people, who were acclimatized to the temperate climate.

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Sensitivity of UTCI Thermal Comfort Prediction to Personal and Situational Factors—Residual Analysis of Pedestrian Survey Data

Bröde

Napoli

Rosa

et al. 2021

Applications of the Universal Thermal Climate Index UTCI in Biometeorology

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The Universal Thermal Climate Index (UTCI) assesses the interaction of ambient temperature, wind, humidity and radiant fluxes on human physiology in outdoor environments on an equivalent temperature scale. Based upon the dynamic thermal sensation (DTS) from the UTCI-Fiala model of human thermoregulation, the UTCI allows for thermal comfort prediction.Here we compare those predictions to thermal sensation votes as recorded on the 7-unit ASHRAE scale for two Brazilian cities, Curitiba and Pelotas. Outdoor comfort surveys from 1551 respondents in Curitiba and 1148 in Pelotas, respectively, yielded negligible bias and less than one unit rootmean square error (rmse), which was similar in magnitude for both study areas. Residual analysis revealed that factors such as age, sex, body composition, site morphology (open space, street canyon), climatic state (comfort/discomfort) and clothing choice only explained a small portion of the prediction error variance, which in the total sample was dominated for over 94% by residual inter-individual variability. Adding historical weather information from the previous three days gave superior information compared to longer time lags and helped to reduce the residual variance to 88%. Those findings underpin current limitations in individual thermal comfort prediction, whereas personal and situational factors hardly affected 2 UTCI predictive performance, which showed reasonable accuracy at the population level.

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The use of language to express thermal sensation suggests heat acclimatization by Indonesian people

Cited by 13 publications

References 20 publications

A review of human thermal comfort in the built environment

A review of human thermal comfort in the built environment

Ethnic Differences in Thermal Responses between Thai and Japanese Females in Tropical Urban Climate

Sensitivity of UTCI Thermal Comfort Prediction to Personal and Situational Factors—Residual Analysis of Pedestrian Survey Data

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