Emotion in motion: The impact of affective gait on pedestrian collision avoidance strategies

BACKGROUND: Pedestrian collision avoidance requires adjustments in speed and trajectory. While previous research focused on situational factors such as pedestrian speed and approach direction, the influence of emotion expressed through gait remains largely unexplored. OBJECTIVES: This study investigated how emotional gait and approach direction of virtual pedestrians (VRPs) jointly shape locomotor strategies, and whether gait influences avoidance behaviour independently of walking speed. METHODS: Twenty healthy adults walked 7 m toward a target while avoiding VRPs displaying happy, sad, angry, neutral, or speed-matched neutral emotional gait patterns, approaching centrally or diagonally. Minimum distance from VRPs, onset distance, maximal lateral deviation, and walking speed were compared across conditions using generalized estimating equations. RESULTS: Minimum distance did not differ across conditions (p > 0.05), whereas emotion × direction interactions emerged for onset distance (p = 0.004), maximal lateral deviation (p = 0.004), and minimum walking speed (p = 0.01). Angry gait produced larger onset distances than other emotions (p < 0.0001), with the angry-center combination yielding the largest values. For diagonally-approaching VRPs, sad gait increased maximal lateral deviations (p < 0.001) and angry gait reduced minimum walking speeds (p < 0.0001). Differences persisted when comparing emotional gait with speed-matched neutral counterparts (p < 0.009). CONCLUSION: Emotional cues and approach directions interact and shape collision avoidance behaviour, likely mediated by threat assessment. Gait influences avoidance strategies beyond simple speed variations, highlighting the social nature of locomotion. APPLICATION: This new knowledge can serve as a reference point in characterizing locomotor strategies in populations suffering from neurological disorders that affect walking and emotion recognition, such as traumatic brain injury.

Authors

Institutions

Publication Details

Journal
Human Movement Science
Published
2026-05-27
DOI
https://doi.org/10.1016/j.humov.2026.103487
Primary Topic
Automotive and Human Injury Biomechanics
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Emotion in motion: The impact of affective gait on pedestrian collision avoidance strategies

Anouk Lamontagne, Théo Maulet, Bradford J. McFadyen, Azba Shaikh et al.
Human Movement Science
Automotive and Human Injury Biomechanics
article

Emotion in motion: The impact of affective gait on pedestrian collision avoidance strategies

Anouk Lamontagne, Théo Maulet, Bradford J. McFadyen, Azba Shaikh, Philip L. Jackson, Sean D. Lynch
article en

Abstract

BACKGROUND: Pedestrian collision avoidance requires adjustments in speed and trajectory. While previous research focused on situational factors such as pedestrian speed and approach direction, the influence of emotion expressed through gait remains largely unexplored. OBJECTIVES: This study investigated how emotional gait and approach direction of virtual pedestrians (VRPs) jointly shape locomotor strategies, and whether gait influences avoidance behaviour independently of walking speed. METHODS: Twenty healthy adults walked 7 m toward a target while avoiding VRPs displaying happy, sad, angry, neutral, or speed-matched neutral emotional gait patterns, approaching centrally or diagonally. Minimum distance from VRPs, onset distance, maximal lateral deviation, and walking speed were compared across conditions using generalized estimating equations. RESULTS: Minimum distance did not differ across conditions (p > 0.05), whereas emotion × direction interactions emerged for onset distance (p = 0.004), maximal lateral deviation (p = 0.004), and minimum walking speed (p = 0.01). Angry gait produced larger onset distances than other emotions (p < 0.0001), with the angry-center combination yielding the largest values. For diagonally-approaching VRPs, sad gait increased maximal lateral deviations (p < 0.001) and angry gait reduced minimum walking speeds (p < 0.0001). Differences persisted when comparing emotional gait with speed-matched neutral counterparts (p < 0.009). CONCLUSION: Emotional cues and approach directions interact and shape collision avoidance behaviour, likely mediated by threat assessment. Gait influences avoidance strategies beyond simple speed variations, highlighting the social nature of locomotion. APPLICATION: This new knowledge can serve as a reference point in characterizing locomotor strategies in populations suffering from neurological disorders that affect walking and emotion recognition, such as traumatic brain injury.

Human Movement ScienceVol. 107
Jewish Rehabilitation Hospital (CA), Centre for Interdisciplinary Research in Rehabilitation (CA), Université Laval (CA), McGill University (CA)
McGill University, Centre for Interdisciplinary Research in Rehabilitation, Natural Sciences and Engineering Research Council of Canada
Reduced inequalities
Openalex Percentile: Top 7%
Automotive and Human Injury Biomechanics
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.