English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Perception and prediction of simple object interactions

MPS-Authors
/persons/resource/persons84115

Nusseck,  M
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons214722

Fleming,  R
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons83839

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

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

APGV-2007-Nusseck.pdf
(Any fulltext), 457KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Nusseck, M., Lagarde, J., Bardy, B., Fleming, R., & Bülthoff, H. (2007). Perception and prediction of simple object interactions. In C. Wallraven, & V. Sundstedt (Eds.), APGV '07: 4th Symposium on Applied Perception in Graphics and Visualization (pp. 27-34). New York, NY, USA: ACM Press.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-CCC3-B
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.