Examining Biological Motion as a Potential Factor in E-Scooter Conspicuity and Safety

BackgroundE-scooter injuries have risen in recent years and riders report a relatively high prevalence of accidents. Collisions with motor vehicles pose a high risk to e-scooter users. E-scooter riders move fast relative to runners but lack movement of limbs that present aspects of biological motion to drivers, which may diminish conspicuity.MethodTwo experiments measured participants' detection of point light representations beneath masking visual noise. Study 1 presented a runner, e-scooter rider, and rectangular object. Study 2 modified the e-scooter stimuli to remove motion sway and added alternative e-scooter presentations, one with moving lights consistent with biological motion and the other with the same motion in reverse, inconsistent with biological motion.ResultsStudy 1 found a main effect of figure type, with the runner resulting in superior detection, recognition, and response time compared to the e-scooter rider, which performed better than the object. Study 2 found better perception performance for the runner, including better detection compared to the reverse motion e-scooter.ConclusionFindings suggest that reduced biological motion produced by e-scooter users slightly worsens and slows their detection by other road users and indicates an advantage for the perception of human body configurations. Any inclusion of apparent motion to improve detection, especially near the ground, should be consistent with biological motion.ApplicationVisual display alterations (e.g., lighting) to introduce apparent motion that mimics biological movements or is consistent with biological motion may potentially confer a detection advantage over other movement patterns.

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Publication Details

Journal
Human Factors The Journal of the Human Factors and Ergonomics Society
Published
2025-05-22
DOI
https://doi.org/10.1177/00187208251344366
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Examining Biological Motion as a Potential Factor in E-Scooter Conspicuity and Safety

Peter Easterlund, Curtis M. Craig, Nichole L. Morris, M Mabry
Human Factors The Journal of the Human Factors and Ergonomics Society
Noise Effects and Management
article

Examining Biological Motion as a Potential Factor in E-Scooter Conspicuity and Safety

Peter Easterlund, Curtis M. Craig, Nichole L. Morris, M Mabry
article en

Abstract

BackgroundE-scooter injuries have risen in recent years and riders report a relatively high prevalence of accidents. Collisions with motor vehicles pose a high risk to e-scooter users. E-scooter riders move fast relative to runners but lack movement of limbs that present aspects of biological motion to drivers, which may diminish conspicuity.MethodTwo experiments measured participants' detection of point light representations beneath masking visual noise. Study 1 presented a runner, e-scooter rider, and rectangular object. Study 2 modified the e-scooter stimuli to remove motion sway and added alternative e-scooter presentations, one with moving lights consistent with biological motion and the other with the same motion in reverse, inconsistent with biological motion.ResultsStudy 1 found a main effect of figure type, with the runner resulting in superior detection, recognition, and response time compared to the e-scooter rider, which performed better than the object. Study 2 found better perception performance for the runner, including better detection compared to the reverse motion e-scooter.ConclusionFindings suggest that reduced biological motion produced by e-scooter users slightly worsens and slows their detection by other road users and indicates an advantage for the perception of human body configurations. Any inclusion of apparent motion to improve detection, especially near the ground, should be consistent with biological motion.ApplicationVisual display alterations (e.g., lighting) to introduce apparent motion that mimics biological movements or is consistent with biological motion may potentially confer a detection advantage over other movement patterns.

Human Factors The Journal of the Human Factors and Ergonomics SocietyVol. 67(11)
University of Minnesota (US), University of Minnesota System (US)
Division of Civil, Mechanical and Manufacturing Innovation
Openalex Percentile: Top 85%
Noise Effects and Management
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