Perception and prediction of simple object interactions

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

doi:10.1145/1272582.1272587

Perception and prediction of simple object interactions

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

Department of Brain and Cognitive Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - APGV 2007
Subtitle of host publication	Symposium on Applied Perception in Graphics and Visualization
Pages	27-34
Number of pages	8
DOIs	https://doi.org/10.1145/1272582.1272587
Publication status	Published - 2007
Event	APGV 2007: 4th Symposium on Applied Perception in Graphics and Visualization - Tubingen, Germany Duration: 2007 May 25 → 2007 May 27

Publication series

Name	ACM International Conference Proceeding Series
Volume	253

Other

Other	APGV 2007: 4th Symposium on Applied Perception in Graphics and Visualization
Country/Territory	Germany
City	Tubingen
Period	07/5/25 → 07/5/27

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

Access to Document

10.1145/1272582.1272587

Cite this

Nusseck, M, Lagarde, J, Bardy, B, Fleming, R & Bülthoff, HH 2007, Perception and prediction of simple object interactions. in Proceedings - APGV 2007: Symposium on Applied Perception in Graphics and Visualization. ACM International Conference Proceeding Series, vol. 253, pp. 27-34, APGV 2007: 4th Symposium on Applied Perception in Graphics and Visualization, Tubingen, Germany, 07/5/25. https://doi.org/10.1145/1272582.1272587

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title = "Perception and prediction of simple object interactions",

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.",

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AU - Lagarde, Julien

AU - Bardy, Benoit

AU - Fleming, Roland

AU - Bülthoff, Heinrich H.

PY - 2007

Y1 - 2007

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AB - 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.

KW - Dynamic property

KW - Elasticity

KW - Object interaction

KW - Path prediction

KW - Perception of physics

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Perception and prediction of simple object interactions

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

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