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Can Force Feedback and Science Learning Enhance the Effectiveness of Neuro-Rehabilitation? An Experimental Study on Using a Low-Cost 3D Joystick and a Virtual Visit to a Zoo

Overview of attention for article published in PLOS ONE, December 2013
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Title
Can Force Feedback and Science Learning Enhance the Effectiveness of Neuro-Rehabilitation? An Experimental Study on Using a Low-Cost 3D Joystick and a Virtual Visit to a Zoo
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0083945
Pubmed ID
Authors

Paolo Cappa, Andrea Clerico, Oded Nov, Maurizio Porfiri

Abstract

In this paper, we demonstrate that healthy adults respond differentially to the administration of force feedback and the presentation of scientific content in a virtual environment, where they interact with a low-cost haptic device. Subjects are tasked with controlling the movement of a cursor on a predefined trajectory that is superimposed on a map of New York City's Bronx Zoo. The system is characterized in terms of a suite of objective indices quantifying the subjects' dexterity in planning and generating the multijoint visuomotor tasks. We find that force feedback regulates the smoothness, accuracy, and duration of the subject's movement, whereby converging or diverging force fields influence the range of variations of the hand speed. Finally, our findings provide preliminary evidence that using educational content increases subjects' satisfaction. Improving the level of interest through the inclusion of learning elements can increase the time spent performing rehabilitation tasks and promote learning in a new context.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
China 1 1%
France 1 1%
Unknown 79 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 15%
Student > Ph. D. Student 10 12%
Researcher 10 12%
Student > Master 8 10%
Student > Doctoral Student 7 9%
Other 17 21%
Unknown 18 22%
Readers by discipline Count As %
Engineering 22 27%
Medicine and Dentistry 10 12%
Nursing and Health Professions 9 11%
Psychology 6 7%
Computer Science 5 6%
Other 8 10%
Unknown 22 27%