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Guided by gaze: Prioritization strategy when navigating through a virtual crowd can be assessed through gaze
L A Meerhoff1, J Bruneau2, A Vu2
1Inria, Univ Rennes, CNRS, IRISA - UMR 6074, F-35000 Rennes, France; Univ Rennes, Inria, M2S - EA 7470, F-35000 Rennes, France.
Acta Psychologica
|August 28, 2018
Summary
Gaze activity reveals how pedestrians prioritize interactions in crowds. By tracking eye movements, researchers found that people focus on individuals posing the highest collision risk, guiding avoidance maneuvers.
Area of Science:
- Behavioral science
- Human-computer interaction
- Robotics
Background:
- Understanding crowd behavior is crucial for managing mass events and pedestrian flow.
- Microscopic models analyze individual actions to predict collective crowd motion.
- Virtual reality (VR) offers controlled environments to study pedestrian interactions.
Purpose of the Study:
- To investigate if gaze activity provides additional insights into pedestrian interactions beyond kinematics.
- To test the hypothesis that gaze behavior can reveal how individuals prioritize interactions in a crowd.
Main Methods:
- Participants navigated a virtual crowd while their gaze behavior was recorded using an eye tracker.
- Analysis focused on the relationship between gaze patterns and kinematic data (distance at closest approach - DCA, time to closest approach - TtCA).
Main Results:
- Gaze was consistently directed towards virtual walkers with the smallest DCA and TtCA, indicating high collision risk.
- Pedestrians fixated on virtual walkers who were subsequently avoided during an avoidance maneuver.
Conclusions:
- Human crowd navigation involves selective interaction prioritization, which is reflected in gaze behavior.
- Combining kinematic and gaze data offers a novel approach to studying interaction selection in dynamic crowd environments.
Keywords:
Crowd navigationInteraction neighborhoodLocomotionPareto optimalityPedestrianVirtual realityMore Related Videos
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