Minji Yu is a Ph.D. Apparel Studies student with a bachelor's and master’s in Clothing and Textile from the Ewha Womans University. She worked as a research scientist intern at Meta Reality Labs, where she researched the fit and wearability of VR wearable products. Minji’s research focuses on advanced wearable product development with the integration of technologies such as 3D body scanning, virtual simulation, and 3D CAD.

Keywords: VR/AR wearables, medical and protective wearable product development, smart clothing, anthropometry, 3D body scanning, 3D apparel visualization, fit, wearability

Face anthropometry for filtering facepiece respirators: analysis of the association between facial dimensions and respirator fit Get access Arrow

This was collaborative research led by Assistant Professor Dr. Linsey Griffin aimed to study ensuring proper respirator fit for individuals remains a persistent challenge in occupational environments, yet there is limited knowledge about how respirators interact with the face to “‘fit.” Previous studies have attempted to understand the association between face dimensions and respirator fit using traditional head/face anthropometry not specifically tailored for respirators. The purpose of this study was to assess and compare the ability of filtering facepiece respirator (FFR)-specific face anthropometry with traditional head/face anthropometry in exploring the relationship between facial dimensions and the fit of FFR.

Keywords: face anthropometry, regression analysis, respirator fit, respirator fit prediction

Published journal: Annals of Work Exposures and Health

Paper

Design considerations for protective mask development: A remote mask usability evaluation

This was collaborative research led by Assistant Professor Dr. Linsey Griffin aimed to study was to develop a holistic model to guide mask design improvement. The design of N95 filtering facepiece respirators (FFRs) continues to pose usability concerns for healthcare workers, which have been exacerbated by the COVID-19 pandemic. Design components of nose wire and head/neck bands were the most problematic, while conditions of skin irritation and tight/loose fit created an unfavorable wear experience. To consider healthcare workers' needs in improving the usability of protective masks, a model was presented to consider characteristics of fit, comfort, material, and design.

Keywords: COVID-19; Healthcare workers; Holistic mask design approach; Mask design improvement; N95 filtering facepiece respirators; Remote usability.

Published journal: Applied Ergonomics

Paper

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Emily Seifert is a Ph.D. Human Factors & Ergonomics student with a bachelor in science and Masters in Apparel Design from the UMN.

She has around eight years of experience working as a researcher in various industries, and currently working in Human Dimension lab at UMN. Emily's research supports workspace, wearable product, and medical product design innovation through mixed methods research approaches to provide safer, more equitable environments and products.

Keywords: 3Dscanner, Hand, Feet, Anthropometricsurvey Landmark

Terry Haekyung Kim is a Ph.D. Apparel Studies student with a bachelor of science and master's degree in Textiles, Merchandising, and Fashion Design from Seoul National University, Korea.

Terry’s research interests are retail merchandising and consumer behavior, specifically sustainable consumption and digital retailing. Her work has been published in international refereed journals such as the Journal of Consumer Behaviour and Fashion and Textiles.

Keywords: COVID-19, pandemic, resale market, secondhand fashion consumption, consumer

motivations.

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