In addressing the character of the haptic system, James Gibson (1966) noted, “The study of useful sensitivity, as distinguished from theoretically basic sensitivities, is only just beginning” (p. 116). Whereas the preceding 150 years had gotten mired in an inventory of isolated sensations, the ensuing 50 years have revealed a good deal about the capabilities of a perceptual system that detects information about the self, the environment, and self-environment relations by means of muscular effort. That research is summarized with special attention to the kind of medium that could ground the useful dimensions of haptic sensitivity.
A perceptual system is a computational system (biological or artificial) designed to make inferences about properties of a physical environment based on scenes. Other definitions may exist.
Gibson (1966). The Senses Considered as Perceptual Systems. Boston: Houghton Mifflin Company, page 196 (l) and 179 (r). Gibson, The Perception of the Visual World, (Boston MA: Houghton Mifflin Company, 1950). 14 August 2013. Gibson (1966). Gibson (1972) argued that perception is a bottom-up process, which means that sensory information is analyzed in one direction: from simple analysis of raw sensory data to ever increasing complexity of analysis through the visual system.
In this context, a scene is defined as information that can flow from a physical rectums into a computational system via sensory transduction. A sensory organ (biological or artificial) is used to capture this information. Therefore, any perceptual system must incorporate input from at least one sensory organ.
Examples of perceptual systems include:
- The visual system
- The auditory system
- The olfactory system
- The somatosensory system
- A bat's sonar/echolocation system
- A man-made light meter
- A man-made motion detector
Research in the field of perceptual systems focuses on computational aspects of perception. For this reason, there is significant overlap with neuroscience, sensor design, natural scene statistics,[1][2] and computer science.
References[edit]
- ^Lewicki, Michael S. (2002), Efficient coding of natural sounds. Nature Neuroscience 5(4):356-363. PDF
- ^Geisler, William S. (2008), Visual perception and the statistical properties of natural scenes. Annual Review of Psychology 59:167-192. PDF
Further reading[edit]
- Gibson, James J. (1966). The Senses Considered As Perceptual Systems. Boston: Houghton Mifflin Company. ISBN978-0313239618. OCLC463604.
External links[edit]
- Center for Perceptual Systems, University of Texas at Austin
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