Abstract
To improve comfort, research is being conducted from various perspectives such as heat, light, and sound. One of the factors that should be considered to achieve even higher levels of comfort is individual differences, such as sensitivity to heat or cold. Individual differences are a particularly problematic factor in environments where many individuals exist, such as in offices. By clarifying individual differences in how individual comfort is determined, we can contribute to the challenge of creating comfortable spaces for individuals. In this study, we clarified the cognitive structure of comfort in the office and remote work using a questionnaire survey, evaluation grid method, and experience sampling method. Although thermal factors have a large influence on subjective comfort in the office and remote work, it has been suggested that factors other than thermal factors such as humidity, light, sound, and internal factors also have an influence. Additionally, cluster analysis revealed that individuals can be classified into three types based on the degree of influence "inside type", "balanced type", and "thermal type". The existence of this individual difference indicates that factors that increase comfort differ depending on the individual. The preliminary experiment and the main experiment with a larger sample size in office work demonstrated the robustness of these results. Similar trends were observed at remote work. Therefore, it was suggested that the obtained results are applicable to a wide range of work environments.
