Visual perception of human movement during walking task interactions

Sean Lynch 1, 2
1 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
UR2 - Université de Rennes 2, Inria Rennes – Bretagne Atlantique , IRISA_D6 - MEDIA ET INTERACTIONS
Abstract : During daily activities, a walker interacts with their environment, especially the other walkers, avoiding any collision with them. The nature of visual information that is used for a collision-free interaction requires further understanding. Specifically, the thesis aims to answer the following questions: what are the visual cues an individual perceives from the movement of others? What are the possible interpretation mechanisms and models used for determining future predicted crossing distances? To answer these questions, we designed experiments considering collision avoidance interactions between two walkers in virtual reality, allowing detailed control of the visual environment and the available visual information. The first study of the thesis focused on the nature of visual information provided from another walker, investigating whether these visual cues are extracted from local body parts or from global perception of the body motion. The second study investigated the influence of the walker's path (straight or curved), which the participant is interacting with for the accurate estimation of future risk of collision. Finally, the third study investigated whether eye contact influences the interaction. Here we have demonstrated the coupling of perceived action-opportunities affordances from the nature of visual information and evidenced that walkers can detect future predicted collisions when another walker follows a path with constant acceleration.
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https://hal.inria.fr/tel-01944500
Contributor : Sean Lynch <>
Submitted on : Tuesday, December 4, 2018 - 4:42:13 PM
Last modification on : Thursday, May 2, 2019 - 3:10:03 PM

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  • HAL Id : tel-01944500, version 1

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Sean Lynch. Visual perception of human movement during walking task interactions. Psychology. Université Rennes 2, 2018. English. ⟨tel-01944500v1⟩

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