Analysis and construction of stress relief model for healthy indoor environments
Hsi-Chin Chen,
Ching-Hsin Wang,
Kuen-Suan Chen and
Tsu-Liang Chang ()
Quality & Quantity: International Journal of Methodology, 2014, vol. 48, issue 4, 2053-2067
Abstract:
Currently, the average person spends 80–90 % of their workday in an airtight indoor environment. Under such conditions, the presence of organic chemical pollutants in the air can compromise the health of workers and undermine work efficiency. Many researchers have demonstrated that plants can be used to purify the air and relive stress, essential oils can promote positive emotions and eliminate negative thoughts, and music can relieve stress by calming nerves and relaxing muscles. All of these are positively related to the release of stress and the promotion of health. This study employed three factors to construct environment-related dimensions with an influence on stress relief. We employed analytic network process to identify the environmental factors that are essential to stress relief, in conjunction with Taguchi method to determine the best combination of parameters. A model based on statistical analysis was used to verify the different benefits resulting from these changes. The proposed system provides an effective means to enhance air quality in the promotion of a comfortable, clean, and healthy environment. Our findings provide a valuable reference for the implementation of environment improvements in medical facilities, retirement homes, and office spaces. Copyright Springer Science+Business Media Dordrecht 2014
Keywords: Healthy stress relief environment; Analytic network process (ANP); Indoor plants; Essential oil; Music (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11135-013-9879-4 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:48:y:2014:i:4:p:2053-2067
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135
DOI: 10.1007/s11135-013-9879-4
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().