The Usability of Face Coverings Used to Prevent the Spread of COVID-19

Author:

Robertson Ian1ORCID,Kortum Philip1ORCID

Affiliation:

1. Department of Psychological Sciences, Rice University, Houston, TX, USA

Abstract

Objective To describe the perceived usability and usability problems associated with face coverings used to prevent the spread of COVID-19. Background Since public health experts have now identified the appropriate use of facemasks as one of the critical elements in an effective COVID mitigation strategy, understanding how people use and care for them has become important. Method Data were collected via a survey that was shared on social media to which 2148 people responded. Participants were asked to identify the category class of the face covering they most often wear, rate its usability, answer demographic information, and questions about their mask use and hygiene, and identify issues they may suffer in relation to face cover use. Results Overall, users appear to perceive their face coverings favorably from a usability and satisfaction standpoint, even though almost two-thirds of users indicated that they experienced discomfort and problems with glasses fogging with the most popular mask types. When considering demographic information, users’ political party affiliation appears related to how they perceive the usability of their face covering. Conclusion Designers should work to improve the fit and comfort properties of protective masks; evidence suggests the System Usability Scale may be a useful tool in those efforts. Application Understanding mask design and behavioral issues related to their use can help in the development of masks and will maximize their acceptance and effectiveness in the field.

Publisher

SAGE Publications

Subject

Behavioral Neuroscience,Applied Psychology,Human Factors and Ergonomics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Rating Product Satisfaction by Watching Others Using Video;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2022-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3