Abstract

A physical trainer often physically guides a learner’s limbs to teach an ideal movement, giving the learner proprioceptive information about the movement to be reproduced later. This instruction requires the learner to perceive kinesthetic information and store the instructed information temporarily. Therefore, (1) proprioceptive acuity to accurately perceive the taught kinesthetics and (2) short-term memory to store the perceived information are two critical functions for reproducing the taught movement. While the importance of proprioceptive acuity and short-term memory has been suggested for active motor learning, little is known about passive motor learning. Twenty-one healthy adults (mean age 25.6 years, range 19–38 years) participated in this study to investigate whether individual learning efficiency in passively guided learning is related to these two functions. Consequently, learning efficiency was significantly associated with short-term memory capacity. In particular, individuals who could recall older sensory stimuli showed better learning efficiency. However, no significant relationship was observed between learning efficiency and proprioceptive acuity. A causal graph model found a direct influence of memory on learning and an indirect effect of proprioceptive acuity on learning via memory. Our findings suggest the importance of a learner’s short-term memory for effective passive motor learning.

Details

Title
Proprioceptive short-term memory in passive motor learning
Author
Chiyohara, Shinya 1 ; Furukawa, Jun-ichiro 2 ; Noda, Tomoyuki 1 ; Morimoto, Jun 3 ; Imamizu, Hiroshi 4 

 Keihanna Science City, Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan (GRID:grid.418163.9) (ISNI:0000 0001 2291 1583) 
 Keihanna Science City, Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan (GRID:grid.418163.9) (ISNI:0000 0001 2291 1583); RIKEN, Man-Machine Collaboration Research Team, Guardian Robot Project, Kyoto, Japan (GRID:grid.7597.c) (ISNI:0000 0000 9446 5255) 
 Keihanna Science City, Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan (GRID:grid.418163.9) (ISNI:0000 0001 2291 1583); RIKEN, Man-Machine Collaboration Research Team, Guardian Robot Project, Kyoto, Japan (GRID:grid.7597.c) (ISNI:0000 0000 9446 5255); Kyoto University, Graduate School of Informatics, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033) 
 Keihanna Science City, Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan (GRID:grid.418163.9) (ISNI:0000 0001 2291 1583); The University of Tokyo, Department of Psychology, Graduate School of Humanities and Sociology, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); The University of Tokyo, Research Into Artifacts, Center for Engineering, School of Engineering, Tokyo, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X) 
Pages
20826
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2894183631
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.