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Learning force patterns with a multimodal system using contextual cues

delete2018-02-01
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OA
AI
J
Jorge Rodríguez-Arce *
T
Teresa Gutiérrez
O
Otniel Portillo-Rodríguez
E
Emilio Sánchez
DOI:10.1016/j.ijhcs.2017.10.007delete
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Abstract

Abstract

En 中文
Previous studies on learning force patterns (fine motor skills) have focused on providing punctual information, which means users only receive information about their performance at the Current time step. This work proposes a new approach based on contextual information, in which users receive information not only about the current time step, but also about the past (how the target force has changed over time) and the future (how the target force will change). A test was run to compare the performance of the contextual approach in relation to the punctual information, in which each participant had to memorize and then reproduce a pattern of force after training with a multimodal system. The findings suggest that the contextual approach is a useful strategy for force pattern learning. The advantage of the contextual information approach over the punctual information approach is that users receive information about the evolution of their performance (helping to correct the errors), and they also receive information about the next forces to be exerted (providing them with a better understanding of the target force profile). Finally, the contextual approach could be implemented in medical training platforms or surgical robots to extend the capabilities of these systems. (C) 2017 Elsevier Ltd. All rights reserved.
Keywords:
Force skill training
Motor skill training
Virtual training
Multimodal training
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

I
International Journal of Human-Computer Studies
IF:
5.1
Papers:
2.9K
Citations:
8.9K

Organization

U
University of Navarra
Scholars:
1.2W
Papers: 8.9K
Citations: 24
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