ArticleErgonomics2019
Predicting slips based on the STM 603 whole-footwear tribometer under different coefficient of friction testing conditions.
Article in Ergonomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Estimating Human-Centered Slip-Resistance of Winter Footwear on Ice Using Mechanical Testing.Annals of biomedical engineering · 2026Article
- Effect of toe box size on basketball-specific movement performance.Frontiers in bioengineering and biotechnology · 2025Article
- Prospective validity assessment of a friction prediction model based on tread outsole features of slip-resistant shoes.Applied ergonomics · 2024Article
- Shoe Tread Wear Occurs Primarily during Early Stance and Precedes the Peak Required Coefficient of Friction.Footwear science · 2022Article
- Evaluation of Winter Footwear: Comparison of Test Methods to Determine Footwear Slip Resistance on Ice Surfaces.International journal of environmental research and public health · 2021Article
- An observational ergonomic tool for assessing the worn condition of slip-resistant shoes.Applied ergonomics · 2020Article
- Worn region size of shoe outsole impacts human slips: Testing a mechanistic model.Journal of biomechanics · 2020Article
- Influence of averaging time-interval on shoe-floor-contaminant available coefficient of friction measurements.Applied ergonomics · 2020Article
- Vinyl Composite Tile Surrogate for Mechanical Slip Testing.IISE transactions on occupational ergonomics and human factors · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Assessing footwear slip-resistance is critical to preventing slip and fall accidents. The STM 603 (SATRA Technology) is commonly used to assess footwear friction but its ability to predict human slips while walking is unclear. This study assessed this apparatus' ability to predict slips across footwear designs and to determine if modifying the test parameters alters predictions. The available coefficient of friction (ACOF) was measured with the device for nine different footwear designs using 12 testing conditions with varying vertical force, speed and shoe angle. The occurrence of slipping and the required coefficient of friction was quantified from human gait data including 124 exposures to liquid contaminants. ACOF values varied across the test conditions leading to different slip prediction models. Generally, a steeper shoe angle (13°) and higher vertical forces (400 or 500
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Registered trials
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