{"title":"An approach to the emotional design of female nursing scrubs","authors":"Yu Zhao, Zhou Li, Yan Cheng, Feng Zhou, Xixi Wei","doi":"10.1177/00405175241246980","DOIUrl":null,"url":null,"abstract":"Nurses often encounter negative emotions such as fatigue, boredom, anxiety and fear in the course of their nursing duties, and one of the efficient approaches to improve their emotions is to wear the proper nursing scrubs during their tasks. This paper presents a work with the overall objective to have an emotionally tailored apparel design of nursing scrubs. To reach this objective, the study first mines Kansei words to recognize nurses’ emotions in nursing scrubs domain. Then, design attributes and their corresponding attribute levels for nursing scrubs are identified and determined by applying the rank sum ratio method. Furthermore, a model mapping nurses’ emotions to design attributes of nursing scrubs is established by employing the entropy-weight technique for order preference by similarity to an ideal solution approach. The study yields two significant contributions: (a) presenting the first ever emotion recognition for nurses, which provides a domain-specific foundation for investigating nurses’ psychological wellbeing; (b) constructing a model to conduct the emotional apparel design of female nursing scrubs, which offers a guide to improve preferred and satisfied female nursing scrubs for nurses, and thus positive emotions will be experienced during their nursing duties.","PeriodicalId":22323,"journal":{"name":"Textile Research Journal","volume":"1 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Textile Research Journal","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1177/00405175241246980","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, TEXTILES","Score":null,"Total":0}
引用次数: 0
Abstract
Nurses often encounter negative emotions such as fatigue, boredom, anxiety and fear in the course of their nursing duties, and one of the efficient approaches to improve their emotions is to wear the proper nursing scrubs during their tasks. This paper presents a work with the overall objective to have an emotionally tailored apparel design of nursing scrubs. To reach this objective, the study first mines Kansei words to recognize nurses’ emotions in nursing scrubs domain. Then, design attributes and their corresponding attribute levels for nursing scrubs are identified and determined by applying the rank sum ratio method. Furthermore, a model mapping nurses’ emotions to design attributes of nursing scrubs is established by employing the entropy-weight technique for order preference by similarity to an ideal solution approach. The study yields two significant contributions: (a) presenting the first ever emotion recognition for nurses, which provides a domain-specific foundation for investigating nurses’ psychological wellbeing; (b) constructing a model to conduct the emotional apparel design of female nursing scrubs, which offers a guide to improve preferred and satisfied female nursing scrubs for nurses, and thus positive emotions will be experienced during their nursing duties.
期刊介绍:
The Textile Research Journal is the leading peer reviewed Journal for textile research. It is devoted to the dissemination of fundamental, theoretical and applied scientific knowledge in materials, chemistry, manufacture and system sciences related to fibers, fibrous assemblies and textiles. The Journal serves authors and subscribers worldwide, and it is selective in accepting contributions on the basis of merit, novelty and originality.