Human slip perception while walking on ice: Can we rely on self-reported slip counts for winter footwear evaluations?

Fall-related injuries on icy surfaces are a major public health concern. Slip-resistant winter boots that incorporate the latest composite outsole technologies have demonstrated the potential to prevent falls in winter weather in lab-based testing. However, the real-world benefits of this composite footwear remain difficult to measure because of a lack of accurate evaluation methods. In particular, existing methods rely on comparing self-reported slip counts to identify differences in slip resistance performance between different footwear models. However, prior research has primarily focused on slip detection on soapy and oily surfaces, revealing that small slips (≤30 mm) often go undetected, with humans correctly identifying them only 50% of the time. No studies have yet examined slip perception on icy surfaces, which possess significantly lower coefficients of friction compared to soapy and oily environments. The objective of this study was to investigate the agreement between self-reported slip counts and motion capture detected slips while walking on ice with winter footwear. Twenty-five healthy participants were asked to walk on ice surfaces (melting ice 0.5 ± 1.0 °C and cold ice -3.5 ± 1.0 °C) while wearing three models of winter boots with varying slip resistance performance (poor, moderate, good) and were asked to report any slips they experienced. Ground truth slip identification and slip length measurement was done using an 8-camera Vicon motion capture system. Slips were categorized as small slips (≤30 mm), moderate slips (30-100 mm), or large slips (>100 mm) for each boot and the proportion detected by participants was calculated. A total of 7743 slips were identified from 53,944 steps captured by the motion capture system with 4395, 1999 and 1349 slips recorded from the boots with poor, moderate and good slip resistance, respectively. These included 1658 small slips, 2521 moderate slips, and 3564 large slips. Overall, participants only reported 38.3% of these slips including 375 small slips (22.6% reported), 823 moderate slips (32.6% reported) and 1767 large slips (49.6% reported). These findings showed a strong positive correlation between self-reported slips and slip length (ρ = 0.573, p<0.001) demonstrating that participants were significantly more likely to report larger slips. The findings of this study demonstrate the need to develop more objective methods of recording slip events for real-world winter footwear evaluations.

Authors

Institutions

Publication Details

Journal
Applied Ergonomics
Published
2025-03-18
DOI
https://doi.org/10.1016/j.apergo.2025.104487
Citations
1
Primary Topic
Winter Sports Injuries and Performance
Type
article
Field-Weighted Citation Impact
1.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human slip perception while walking on ice: Can we rely on self-reported slip counts for winter footwear evaluations?

Tilak Dutta, Hamed Ghomashchi, Davood Dadkhah
1 citations
Applied Ergonomics
Winter Sports Injuries and Performance
1.52
article

Human slip perception while walking on ice: Can we rely on self-reported slip counts for winter footwear evaluations?

Tilak Dutta, Hamed Ghomashchi, Davood Dadkhah
article en
1 citations

Abstract

Fall-related injuries on icy surfaces are a major public health concern. Slip-resistant winter boots that incorporate the latest composite outsole technologies have demonstrated the potential to prevent falls in winter weather in lab-based testing. However, the real-world benefits of this composite footwear remain difficult to measure because of a lack of accurate evaluation methods. In particular, existing methods rely on comparing self-reported slip counts to identify differences in slip resistance performance between different footwear models. However, prior research has primarily focused on slip detection on soapy and oily surfaces, revealing that small slips (≤30 mm) often go undetected, with humans correctly identifying them only 50% of the time. No studies have yet examined slip perception on icy surfaces, which possess significantly lower coefficients of friction compared to soapy and oily environments. The objective of this study was to investigate the agreement between self-reported slip counts and motion capture detected slips while walking on ice with winter footwear. Twenty-five healthy participants were asked to walk on ice surfaces (melting ice 0.5 ± 1.0 °C and cold ice -3.5 ± 1.0 °C) while wearing three models of winter boots with varying slip resistance performance (poor, moderate, good) and were asked to report any slips they experienced. Ground truth slip identification and slip length measurement was done using an 8-camera Vicon motion capture system. Slips were categorized as small slips (≤30 mm), moderate slips (30-100 mm), or large slips (>100 mm) for each boot and the proportion detected by participants was calculated. A total of 7743 slips were identified from 53,944 steps captured by the motion capture system with 4395, 1999 and 1349 slips recorded from the boots with poor, moderate and good slip resistance, respectively. These included 1658 small slips, 2521 moderate slips, and 3564 large slips. Overall, participants only reported 38.3% of these slips including 375 small slips (22.6% reported), 823 moderate slips (32.6% reported) and 1767 large slips (49.6% reported). These findings showed a strong positive correlation between self-reported slips and slip length (ρ = 0.573, p<0.001) demonstrating that participants were significantly more likely to report larger slips. The findings of this study demonstrate the need to develop more objective methods of recording slip events for real-world winter footwear evaluations.

Applied ErgonomicsVol. 126
University of Toronto (CA), Toronto Rehabilitation Institute (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 21%
Winter Sports Injuries and Performance
1.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.