Perception and prediction of simple object interactions

Manfred Nusseck, Julien Lagarde, Benoit Bardy, Roland Fleming, Heinrich H. Bülthoff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)

Abstract

For humans, it is useful to be able to visually detect an object's physical properties. One potentially important source of information is the way the object moves and interacts with other objects in the environment. Here, we use computer simulations of a virtual ball bouncing on a horizontal plane to study the correspondence between our ability to estimate the ball's elasticity and to predict its future path. Three experiments were conducted to address (1) perception of the ball's elasticity, (2) interaction with the ball, and (3) prediction of its trajectory. The results suggest that different strategies and information sources are used for passive perception versus actively predicting future behavior.

Original languageEnglish
Title of host publicationProceedings - APGV 2007
Subtitle of host publicationSymposium on Applied Perception in Graphics and Visualization
Pages27-34
Number of pages8
DOIs
Publication statusPublished - 2007
EventAPGV 2007: 4th Symposium on Applied Perception in Graphics and Visualization - Tubingen, Germany
Duration: 2007 May 252007 May 27

Publication series

NameACM International Conference Proceeding Series
Volume253

Other

OtherAPGV 2007: 4th Symposium on Applied Perception in Graphics and Visualization
Country/TerritoryGermany
CityTubingen
Period07/5/2507/5/27

Keywords

  • Dynamic property
  • Elasticity
  • Object interaction
  • Path prediction
  • Perception of physics

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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