Daniel Viggiani, Jeff M. Barrett, Eric Will, J. Callaghan
{"title":"Measurement of Sit-Stand Desk Usage by Desk-Mounted Sensors","authors":"Daniel Viggiani, Jeff M. Barrett, Eric Will, J. Callaghan","doi":"10.1177/1064804620947630","DOIUrl":null,"url":null,"abstract":"Quantifying user behaviors at sit-stand desks is critical to understanding the efficacy of these workstations to reduce exposures to prolonged sitting or standing. A custom after-market desk-mounted sensor predicting sit-stand desk use by measuring desk floor heights, desk user distances, and the temperature in front of the desk was tested. The authors performed sensor component testing, a survey of desk height ranges, and a logistic model to estimate gross posture and user presence with a 95.6% accuracy rate. This approach can aid researchers and ergonomists in understanding sit-stand desk use in the field, with the end goal of reducing sedentary work activities.","PeriodicalId":357563,"journal":{"name":"Ergonomics in Design: The Quarterly of Human Factors Applications","volume":"11 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ergonomics in Design: The Quarterly of Human Factors Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1064804620947630","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Quantifying user behaviors at sit-stand desks is critical to understanding the efficacy of these workstations to reduce exposures to prolonged sitting or standing. A custom after-market desk-mounted sensor predicting sit-stand desk use by measuring desk floor heights, desk user distances, and the temperature in front of the desk was tested. The authors performed sensor component testing, a survey of desk height ranges, and a logistic model to estimate gross posture and user presence with a 95.6% accuracy rate. This approach can aid researchers and ergonomists in understanding sit-stand desk use in the field, with the end goal of reducing sedentary work activities.