Perceptual-motor behaviour during a simulated pedestrian crossing.

Area of Science:

• Human locomotion and biomechanics
• Social cognition and interaction
• Robotics and artificial intelligence

Background:

• Gait control is crucial for safe navigation in dynamic environments.
• Understanding how humans adapt gait for collision avoidance is essential for developing autonomous systems.
• The role of social cues, such as gaze direction, in modulating gait behavior remains underexplored.

Purpose of the Study:

• To investigate gait control adaptations during real-time between-person collision avoidance.
• To examine the influence of oncoming pedestrians' gaze orientation (phone use) on gait parameters.
• To explore how social interaction potential affects collision avoidance strategies.

Main Methods:

• A novel research paradigm simulating a pedestrian crossing was employed.
• Ten young adults walked across a 6-meter simulated crossing, avoiding 1-2 oncoming pedestrians.
• Oncoming pedestrians either used a mobile phone (2MP) or did not (2P), manipulating social interaction potential.

Main Results:

• Crossing time increased significantly when avoiding two pedestrians (2MP, 2P) compared to baseline.
• Gait velocity decreased and became more variable in the 2P condition (phone use).
• Anterior-posterior separation distance was smaller in the 2MP condition compared to 2P.

Conclusions:

• Gait control is adaptively modulated by the availability of gaze orientation information from others.
• The study provides preliminary insights into how social cues influence pedestrian collision avoidance.
• Further research is needed to fully elucidate adaptive behaviors during pedestrian interactions.