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Conference Paper

Towards Artificial Systems: What Can We Learn from Human Perception?

MPS-Authors
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;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83861

Chuang,  LL
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Bülthoff, H., & Chuang, L. (2010). Towards Artificial Systems: What Can We Learn from Human Perception? PRICAI 2010: Trends in Artificial Intelligence, 1-3.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-BE74-E
Abstract
Research in learning algorithms and sensor hardware has led to rapid advances in artificial systems over the past decade. However, their performance continues to fall short of the efficiency and versatility of human behavior. In many ways, a deeper understanding of how human perceptual systems process and act upon physical sensory information can contribute to the development of better artificial systems. In the presented research, we highlight how the latest tools in computer vision, computer graphics, and virtual reality technology can be used to systematically understand the factors that determine how humans perform in realistic scenarios of complex task-solving.