Learning effects in haptic perception
Hubert R. Dinse, Claudia Wilimzig, Tobias Kalisch
Abstract
Hubert R. Dinse, Claudia Wilimzig, Tobias Kalisch
Abstract
Human haptic perception is not a constant, but subject to manifold modifications throughout lifespan. Major determinants are development and aging as well as alterations following injury and compensatory brain reorganization. While during early development haptic perception is refined due to maturation and experience, haptic perception during aging deteriorates due to many factors, not all of them fully understood. Besides these lifespan factors, it is common wisdom that haptic perception and skills in general improve through practice (Fig. 1), see also [ 1 ]. Perceptual learning involves relatively long-lasting changes to an organism’s perceptual system that improve its ability to respond to its environment and are caused by this environment. In case of Blinds or in Musicians, both characterized by superior haptic perception, improvement is assumed to be due to use-dependent or experience-dependent neuroplasticity mechanisms. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Human haptic perception is not a constant, but subject to manifold modifications throughout lifespan. Major determinants are development and aging as well as alterations following injury and compensatory brain reorganization. While during early development haptic perception is refined due to maturation and experience, haptic perception during aging deteriorates due to many factors, not all of them fully understood. Besides these lifespan factors, it is common wisdom that haptic perception and skills in general improve through practice (Fig. 1), see also [ 1 ]. Perceptual learning involves relatively long-lasting changes to an organism’s perceptual system that improve its ability to respond to its environment and are caused by this environment. In case of Blinds or in Musicians, both characterized by superior haptic perception, improvement is assumed to be due to use-dependent or experience-dependent neuroplasticity mechanisms. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Key concepts: Haptic technology, Perception, Haptic perception, Psychology, Perceptual learning, Cognitive psychology, Neuroplasticity, Computer science