Influence of path curvature on collision avoidance behaviour between two walkers

Navigating crowded community spaces requires interactions with pedestrians that follow rectilinear and curvilinear trajectories. In the case of rectilinear trajectories, it has been shown that the perceived action opportunities of the walkers might be afforded based on a future distance of closest approach. However, little is known about collision avoidance behaviours when avoiding walkers that follow curvilinear trajectories. Twenty-two participants were immersed in a virtual environment and avoided a virtual human (VH) that followed either a rectilinear path or a curvilinear path with a 5 m or 10 m radius curve at various distances of closest approach. Compared to a rectilinear path (control condition), the curvilinear path with a 5 m radius yielded more collisions when the VH approached from behind the participant and more inversions when the VH approached from in-front. During each trial, the evolution of the future distance of closest approach showed similarities between rectilinear paths and curvilinear paths with a 10 m radius curve. Overall, with few collisions and few inversions of crossing order, we can conclude that participants were capable of predicting future distance of closest approach of virtual walkers that followed curvilinear trajectories. The task was solved with similar avoidance adaptations to those observed for rectilinear interactions. These findings should inform future endeavors to further understand collision avoidance strategies and the role of-for example-non-constant velocities.

[1]  A Cogotti,et al.  3. Flow visualization behind a car rearview mirror , 2000 .

[2]  Richard W. Bohannon Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants. , 1997, Age and ageing.

[3]  Hubert Ripoll,et al.  Time-to-contact estimation of accelerated stimuli is based on first-order information. , 2003, Journal of experimental psychology. Human perception and performance.

[4]  Stefan Glasauer,et al.  Adjustments of Speed and Path when Avoiding Collisions with Another Pedestrian , 2014, PloS one.

[5]  Olivier Stasse,et al.  How do walkers behave when crossing the way of a mobile robot that replicates human interaction rules? , 2018, Gait & posture.

[6]  Aftab E Patla,et al.  Locomotor avoidance behaviours during a visually guided task involving an approaching object. , 2008, Gait & posture.

[7]  Maud Marchal,et al.  Kinematic Evaluation of Virtual Walking Trajectories , 2013, IEEE Transactions on Visualization and Computer Graphics.

[8]  A. Hamilton,et al.  Why and how to use virtual reality to study human social interaction: The challenges of exploring a new research landscape , 2018, British journal of psychology.

[9]  Francesco Lacquaniti,et al.  Catching What We Can't See: Manual Interception of Occluded Fly-Ball Trajectories , 2012, PloS one.

[10]  Julien Pettré,et al.  Effect of Virtual Human Gaze Behaviour During an Orthogonal Collision Avoidance Walking Task , 2018, 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR).

[11]  J. Pettré,et al.  Minimal predicted distance: a common metric for collision avoidance during pairwise interactions between walkers. , 2012, Gait & posture.

[12]  Aftab E Patla,et al.  Travel path conditions dictate the manner in which individuals avoid collisions. , 2007, Gait & posture.

[13]  Julien Pettré,et al.  Collision avoidance between two walkers: role-dependent strategies. , 2013, Gait & posture.

[14]  S. Bennett,et al.  Is Acceleration Used for Ocular Pursuit and Spatial Estimation during Prediction Motion? , 2013, PloS one.

[15]  Julien Bastin,et al.  Testing the role of expansion in the prospective control of locomotion , 2008, Experimental Brain Research.

[16]  Chris Button,et al.  Walking with avatars: Gait-related visual information for following a virtual leader. , 2019, Human movement science.

[17]  Hiromu Katsumata,et al.  Prospective versus predictive control in timing of hitting a falling ball , 2011, Experimental Brain Research.

[18]  H. D. de Poel,et al.  Influence of gait mode and body orientation on following a walking avatar. , 2017, Human movement science.

[19]  Chris Button,et al.  How visual information influences coordination dynamics when following the leader , 2014, Neuroscience Letters.

[20]  Stéphane Donikian,et al.  A synthetic-vision based steering approach for crowd simulation , 2010, SIGGRAPH 2010.

[21]  William H Warren,et al.  Follow the leader: visual control of speed in pedestrian following. , 2014, Journal of vision.

[22]  Anne-Hélène Olivier,et al.  Collision Avoidance Behavior between Walkers: Global and Local Motion Cues , 2018, IEEE Transactions on Visualization and Computer Graphics.

[23]  C. Richards,et al.  The negotiation of stationary and moving obstructions during walking: anticipatory locomotor adaptations and preservation of personal space. , 2005, Motor control.

[24]  William H. Warren,et al.  Intercepting a moving target: On-line or model-based control? , 2017, Journal of vision.

[25]  Bradford J McFadyen,et al.  Characteristics of personal space during obstacle circumvention in physical and virtual environments. , 2008, Gait & posture.

[26]  Olivier Stasse,et al.  How do walkers avoid a mobile robot crossing their way? , 2016, Gait & posture.

[27]  M. Honma,et al.  Hesitant avoidance while walking: an error of social behavior generated by mutual interaction , 2015, Front. Psychol..

[28]  R. Bootsma,et al.  Base on balls for the Chapman strategy: Reassessing Brouwer, Brenner, and Smeets (2002) , 2012, Attention, perception & psychophysics.

[29]  Vincenzo Maffei,et al.  Integrative Neuroscience Review Article Filling Gaps in Visual Motion for Target Capture , 2022 .

[30]  S. Bennett,et al.  Spatial Estimation of Accelerated Stimuli Is Based on a Linear Extrapolation of First-Order Information. , 2016, Experimental psychology.

[31]  J. Pettré,et al.  Collision Avoidance With Multiple Walkers: Sequential or Simultaneous Interactions? , 2018, Front. Psychol..

[32]  J. Hermsdörfer,et al.  Influence of person- and situation-specific characteristics on collision avoidance behavior in human locomotion. , 2016, Journal of experimental psychology. Human perception and performance.

[33]  Alexandra Kirsch,et al.  Strategies of locomotor collision avoidance. , 2013, Gait & posture.

[34]  J. Bastin,et al.  Prospective strategies underlie the control of interceptive actions. , 2006, Human movement science.

[35]  Francesco Lacquaniti,et al.  Eye movements and manual interception of ballistic trajectories: effects of law of motion perturbations and occlusions , 2014, Experimental Brain Research.

[36]  Anne-Hélène Olivier,et al.  Walking with Virtual People: Evaluation of Locomotion Interfaces in Dynamic Environments , 2018, IEEE Transactions on Visualization and Computer Graphics.

[37]  Joshi Neel,et al.  画像の例を用いた個人写真の強調 | 文献情報 | J-GLOBAL 科学技術総合リンクセンター , 2010 .

[38]  J. Loomis,et al.  Immersive virtual environment technology as a basic research tool in psychology , 1999, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[39]  Stephen J Heinen,et al.  Perceptual and oculomotor evidence of limitations on processing accelerating motion. , 2003, Journal of vision.