Abstract
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.
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References
Basili P, Saglam M, Kruse T, Huber M, Kirsch A, Glasauer S (2013) Strategies of locomotor collision avoidance. Gait Post 37(3):385–390. https://doi.org/10.1016/j.gaitpost.2012.08.003
Bastin J, Craig C, Montagne G (2006) Prospective strategies underlie the control of interceptive actions. Hum Mov Sci 25(6):718–732
Bastin J, Jacobs DM, Morice AH, Craig C, Montagne G (2008) Testing the role of expansion in the prospective control of locomotion. Exp Brain Res 191(3):301–312
Benguigui N, Ripoll H, Broderick MP (2003) Time-to-contact estimation of accelerated stimuli is based on first-order information. J Exp Psychol Hum Percept Perform 29(6):1083
Bennett SJ, Benguigui N (2013) Is acceleration used for ocular pursuit and spatial estimation during prediction motion? PLoS ONE 8(5):e63382
Bennett SJ, Benguigui N (2016) Spatial estimation of accelerated stimuli is based on a linear extrapolation of first-order information. Exp Psychol 63:92–106
Bohannon RW (1997) Comfortable and maximum walking speed of adults aged 20–79 years: reference values and determinants. Age Ageing 26(1):15–19
Bosco G, Delle Monache S, Lacquaniti F (2012) Catching what we can’t see: manual interception of occluded fly-ball trajectories. PLoS One 7(11):e49381
Bosco G, Delle Monache S, Gravano S, Indovina I, La Scaleia B, Maffei V, Zago M, Lacquaniti F (2015) Filling gaps in visual motion for target capture. Front Integr Neurosci 9:13. https://doi.org/10.3389/fnint.2015.00013
Cinelli ME, Patla AE (2007) Travel path conditions dictate the manner in which individuals avoid collisions. Gait Post 26(2):186–193. https://doi.org/10.1016/j.gaitpost.2006.08.012
Cinelli ME, Patla AE (2008) Locomotor avoidance behaviours during a visually guided task involving an approaching object. Gait Post 28(4):596–601
Cirio G, Olivier AH, Marchal M, Pettré J (2013) Kinematic evaluation of virtual walking trajectories. IEEE Trans Visual Comput Graph 19(4):671–680. https://doi.org/10.1109/TVCG.2013.34
Delle Monache S, Lacquaniti F, Bosco G (2015) Eye movements and manual interception of ballistic trajectories: effects of law of motion perturbations and occlusions. Exp Brain Res 233(2):359–374
Gérin-Lajoie M, Richards CL, McFadyen BJ (2005) The negotiation of stationary and moving obstructions during walking: anticipatory locomotor adaptations and preservation of personal space. Mot Control 9(3):242–269
Gérin-Lajoie M, Richards CL, Fung J, McFadyen BJ (2008) Characteristics of personal space during obstacle circumvention in physical and virtual environments. Gait Post 27(2):239–247. https://doi.org/10.1016/j.gaitpost.2007.03.015
Honma M, Koyama S, Kawamura M (2015) Hesitant avoidance while walking: an error of social behavior generated by mutual interaction. Front Psychol 6:1013
Huber M, Su YH, Krüger M, Faschian K, Glasauer S, Hermsdörfer J (2014) Adjustments of speed and path when avoiding collisions with another pedestrian. PLoS One 9(2):e89589. https://doi.org/10.1371/journal.pone.0089589
Katsumata H, Russell DM (2012) Prospective versus predictive control in timing of hitting a falling ball. Exp Brain Res 216(4):499–514
Knorr AG, Willacker L, Hermsdörfer J, Glasauer S, Krüger M (2016) Influence of Person- and Situation-Specific Characteristics on Collision Avoidance Behavior in Human Locomotion. J Exp Psychol Hum Percept Perform 42(9):1332–1343. https://doi.org/10.1037/xhp0000223
Loomis JM, Blascovich JJ, Beall AC (1999) Immersive virtual environment technology as a basic research tool in psychology. Behav Res Methods Instr Comput 31(4):557–564. https://doi.org/10.3758/BF03200735
Lynch SD, Kulpa R, Meerhoff LA, Pettré J, Crétual A, Olivier AH (2017) Collision avoidance behavior between walkers: global and local motion cues. IEEE Trans Vis Comput Graph 99:1–1. https://doi.org/10.1109/TVCG.2017.2718514
Lynch SD, Pettré J, Bruneau J, Kulpa R, Crétual A, Olivier AH (2018) Effects of virtual human gaze behaviour during an orthogonal collision avoidance walking task. In: 2018 IEEE Virtual Reality (VR), Reutlingen, Germany, p pp
Meerhoff LA, de Poel HJ, Button C (2014) How visual information influences coordination dynamics when following the leader. Neurosci Lett 582:12–15. https://doi.org/10.1016/j.neulet.2014.08.022
Meerhoff LA, de Poel HJ, Jowett TW, Button C (2017) Influence of gait mode and body orientation on following a walking avatar. Hum Mov Sci 54:377–387. https://doi.org/10.1016/j.humov.2017.06.005
Meerhoff LA, Pettré J, Lynch SD, Crétual A, Olivier AH (2018) Collision avoidance with multiple walkers: sequential or simultaneous interactions? Front Psychol 9:2354. https://doi.org/10.3389/fpsyg.2018.02354
Meerhoff LA, de Poel HJ, Jowett TW, Button C (2019) Walking with avatars: Gait-related visual information for following a virtual leader. Hum Mov Sci 66:173–185. https://doi.org/10.1016/j.humov.2019.04.003
Olivier AH, Marin A, Crétual A, Pettré J (2012) Minimal predicted distance: a common metric for collision avoidance during pairwise interactions between walkers. Gait Post 36(3):399–404. https://doi.org/10.1016/j.gaitpost.2012.03.021
Olivier AH, Marin A, Crétual A, Berthoz A, Pettré J (2013) Collision avoidance between two walkers: role-dependent strategies. Gait Post 38(4):751–756. https://doi.org/10.1016/j.gaitpost.2013.03.017
Olivier AH, Bruneau J, Kulpa R, Pettré J (2017) Walking with virtual people: evaluation of locomotion interfaces in dynamic environments. IEEE Trans Vis Comput Graph. https://doi.org/10.1109/TVCG.2017.2714665
Ondřej J, Pettré J, Olivier AH, Donikian S (2010) A synthetic-vision based steering approach for crowd simulation. ACM Trans Graph 29(4):1. https://doi.org/10.1145/1833351.1778860
Pan X, Hamilton AFdC (2018) Why and how to use virtual reality to study human social interaction: the challenges of exploring a new research landscape. Br J Psychol 109:395–417
Rio KW, Rhea CK, Warren WH (2014) Follow the leader: Visual control of speed in pedestrian following. J Vis 14(2):4–4
Vassallo C, Olivier AH, Souères P, Crétual A, Stasse O, Pettré J (2017) How do walkers avoid a mobile robot crossing their way? Gait Post 51:97–103
Vassallo C, Olivier AH, Souères P, Crétual A, Stasse O, Pettré J (2018) How do walkers behave when crossing the way of a mobile robot that replicates human interaction rules? Gait Post 60:188–193
Watamaniuk SN, Heinen SJ (2003) Perceptual and oculomotor evidence of limitations on processing accelerating motion. J Vis 3(11):5–5
Zaal FT, Bongers RM, Pepping GJ, Bootsma RJ (2012) Base on balls for the chapman strategy: reassessing brouwer, brenner, and smeets (2002). Attention Percept Psychophys 74(7):1488–1498
Zhao H, Warren WH (2017) Intercepting a moving target: On-line or model-based control? J Vis 17(5):12–12. https://doi.org/10.1167/17.5.12
Acknowledgements
The research leading to these results has received funding from the French National Research Agency, project Percolation (ANR-13-JS02-0008). The authors would like to thank the ImmerStar team of Inria and M2S in Rennes and the volunteers who participated in this study.
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Communicated by Francesco Lacquaniti.
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Lynch, S.D., Kulpa, R., Meerhoff, L.A. et al. Influence of path curvature on collision avoidance behaviour between two walkers. Exp Brain Res 239, 329–340 (2021). https://doi.org/10.1007/s00221-020-05980-y
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DOI: https://doi.org/10.1007/s00221-020-05980-y