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Poster

The contributions of visual flow and locomotor cues to walked distance estimation in a virtual environment

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84378

Campos,  JL
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83842

Butler,  JS
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84088

Mohler,  BJ
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83839

Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Campos, J., Butler, J., Mohler, B., & Bülthoff, H. (2007). The contributions of visual flow and locomotor cues to walked distance estimation in a virtual environment. Poster presented at 4th Symposium on Applied Perception in Graphics and Visualization (APGV 2007), Tübingen, Germany.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-CD1F-A
Zusammenfassung
Traversed distance perception involves estimating the extent of self-motion as one travels from one position in space to another. As such, it is a multi-modal experience in which information from both visual flow and locomotor cues (i.e. proprioceptive, efference copy and vestibular cues) jointly specify the magnitude of self-motion. While recent evidence has demonstrated the extent to which each of these cues can be used independently to estimate traversed distance, relatively little is known about how they are integrated when simultaneously present. Evaluating multi-modal cue integration in the context of dynamic locomotor behaviour is important to both understanding issues related to self-motion perception, as well as perceptual-motor coupling in real and virtual environments.