Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
The feeling of comfort in residential settings II: a quantitative model
Building science has historically used quantitative methods to study comfort. Yet, these methods struggle to consider non-quantifiable factors that are sometimes relevant in the determination of people’s comfort. The first article in this series argued that complementing quantitative methods with qualitative ones can help mitigate this limitation. A new model of comfort for residential environments is proposed—the feeling of comfort model—which is not constrained by the need to be quantifiable. Such a model offered new (although not final) insights into what comfort is, how it develops, and how it varies between individuals and groups of them. How can building performance simulations benefit from these qualitative insights? This question is explored by representing the feeling of comfort model mathematically and incorporating it into a building performance simulation program. Although an unvalidated proof of concept, the results from the simulation emulated some of the phenomena that current models struggle with. Insights produced by qualitative research can help develop quantitative methods and simulations that account for human cognition and psychology. Practice relevance A qualitative model of comfort (developed from a set of interviews) is translated into a quantitative model of comfort that incorporates aspects of cognition and human psychology. This model can reproduce some phenomena that are currently impossible to simulate (e.g. the beneficial effect of inhabitants’ perception of agency and control). The insights produced by qualitative methods hold the promise of developing comfort models that can account for human psychology and cognition. Although qualitative methods are not meant to replace quantitative ones, the value is their exploratory nature, which can help to understand phenomena that can later be represented in quantitative terms. Any model developed using qualitative insights will require validation, calibration and tuning.
The feeling of comfort in residential settings II: a quantitative model
Building science has historically used quantitative methods to study comfort. Yet, these methods struggle to consider non-quantifiable factors that are sometimes relevant in the determination of people’s comfort. The first article in this series argued that complementing quantitative methods with qualitative ones can help mitigate this limitation. A new model of comfort for residential environments is proposed—the feeling of comfort model—which is not constrained by the need to be quantifiable. Such a model offered new (although not final) insights into what comfort is, how it develops, and how it varies between individuals and groups of them. How can building performance simulations benefit from these qualitative insights? This question is explored by representing the feeling of comfort model mathematically and incorporating it into a building performance simulation program. Although an unvalidated proof of concept, the results from the simulation emulated some of the phenomena that current models struggle with. Insights produced by qualitative research can help develop quantitative methods and simulations that account for human cognition and psychology. Practice relevance A qualitative model of comfort (developed from a set of interviews) is translated into a quantitative model of comfort that incorporates aspects of cognition and human psychology. This model can reproduce some phenomena that are currently impossible to simulate (e.g. the beneficial effect of inhabitants’ perception of agency and control). The insights produced by qualitative methods hold the promise of developing comfort models that can account for human psychology and cognition. Although qualitative methods are not meant to replace quantitative ones, the value is their exploratory nature, which can help to understand phenomena that can later be represented in quantitative terms. Any model developed using qualitative insights will require validation, calibration and tuning.
The feeling of comfort in residential settings II: a quantitative model
German Molina (Autor:in) / Michael Donn (Autor:in) / Micael-Lee Johnstone (Autor:in) / Casimir MacGregor (Autor:in)
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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Investigation of Dry Feeling in Residential Buildings
| British Library Conference Proceedings | 1997