{"title":"Seat Dimensions for Comfort: Correlations and Design Method","authors":"Jin Wang, Jin-Yi Zhi, Xu-Wei Zhang","doi":"10.1002/hfm.70005","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Seat dimensions that influence human comfort are not independent. To improve the combined effect of the multiple-seat-dimension design, the correlations of key seat dimensions were analyzed. First, a structural-equation model was used to explore and test the relationships and influence path between the seat dimensions. Then, multiple regression analysis was used to explore the quantitative relationships between the seat dimensions. The results showed that the seat pan inclination, backrest inclination, and seat height are interrelated to form the seat support angle, which determines the human torso–thigh–calf angles in a sitting position and affects the dimension requirements of the lumbar and neck support. The study further proposes a quantitative model relating the key seat dimensions. Research has shown that comfortable seat dimension design cannot rely solely on the design of a single independent seat dimension but requires a unified design of multiple-seat dimensions. This study provides the quantitative relationships between comfortable seat dimensions for key seat-dimension-correlated design, which will help predict the comfortable dimension and improve dimension design comfort.</p>\n </div>","PeriodicalId":55048,"journal":{"name":"Human Factors and Ergonomics in Manufacturing & Service Industries","volume":"35 3","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Factors and Ergonomics in Manufacturing & Service Industries","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hfm.70005","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
Seat dimensions that influence human comfort are not independent. To improve the combined effect of the multiple-seat-dimension design, the correlations of key seat dimensions were analyzed. First, a structural-equation model was used to explore and test the relationships and influence path between the seat dimensions. Then, multiple regression analysis was used to explore the quantitative relationships between the seat dimensions. The results showed that the seat pan inclination, backrest inclination, and seat height are interrelated to form the seat support angle, which determines the human torso–thigh–calf angles in a sitting position and affects the dimension requirements of the lumbar and neck support. The study further proposes a quantitative model relating the key seat dimensions. Research has shown that comfortable seat dimension design cannot rely solely on the design of a single independent seat dimension but requires a unified design of multiple-seat dimensions. This study provides the quantitative relationships between comfortable seat dimensions for key seat-dimension-correlated design, which will help predict the comfortable dimension and improve dimension design comfort.
期刊介绍:
The purpose of Human Factors and Ergonomics in Manufacturing & Service Industries is to facilitate discovery, integration, and application of scientific knowledge about human aspects of manufacturing, and to provide a forum for worldwide dissemination of such knowledge for its application and benefit to manufacturing industries. The journal covers a broad spectrum of ergonomics and human factors issues with a focus on the design, operation and management of contemporary manufacturing systems, both in the shop floor and office environments, in the quest for manufacturing agility, i.e. enhancement and integration of human skills with hardware performance for improved market competitiveness, management of change, product and process quality, and human-system reliability. The inter- and cross-disciplinary nature of the journal allows for a wide scope of issues relevant to manufacturing system design and engineering, human resource management, social, organizational, safety, and health issues. Examples of specific subject areas of interest include: implementation of advanced manufacturing technology, human aspects of computer-aided design and engineering, work design, compensation and appraisal, selection training and education, labor-management relations, agile manufacturing and virtual companies, human factors in total quality management, prevention of work-related musculoskeletal disorders, ergonomics of workplace, equipment and tool design, ergonomics programs, guides and standards for industry, automation safety and robot systems, human skills development and knowledge enhancing technologies, reliability, and safety and worker health issues.