The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task
During the learning of a new sensorimotor task, individuals are usually provided with instructional stimuli and relevant information about the target task. The inclusion of haptic devices in the study of this kind of learning has greatly helped in the understanding of how an individual can improve o...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/4/1231 |
| _version_ | 1797297030541869056 |
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| author | Tjasa Kunavar Marko Jamšek Edwin Johnatan Avila-Mireles Elmar Rueckert Luka Peternel Jan Babič |
| author_facet | Tjasa Kunavar Marko Jamšek Edwin Johnatan Avila-Mireles Elmar Rueckert Luka Peternel Jan Babič |
| author_sort | Tjasa Kunavar |
| collection | DOAJ |
| description | During the learning of a new sensorimotor task, individuals are usually provided with instructional stimuli and relevant information about the target task. The inclusion of haptic devices in the study of this kind of learning has greatly helped in the understanding of how an individual can improve or acquire new skills. However, the way in which the information and stimuli are delivered has not been extensively explored. We have designed a challenging task with nonintuitive visuomotor perturbation that allows us to apply and compare different motor strategies to study the teaching process and to avoid the interference of previous knowledge present in the naïve subjects. Three subject groups participated in our experiment, where the learning by repetition without assistance, learning by repetition with assistance, and task Segmentation Learning techniques were performed with a haptic robot. Our results show that all the groups were able to successfully complete the task and that the subjects’ performance during training and evaluation was not affected by modifying the teaching strategy. Nevertheless, our results indicate that the presented task design is useful for the study of sensorimotor teaching and that the presented metrics are suitable for exploring the evolution of the accuracy and precision during learning. |
| first_indexed | 2024-03-07T22:15:21Z |
| format | Article |
| id | doaj.art-ce02c22e4e6c4b3d9813a54d04e6282f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-07T22:15:21Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ce02c22e4e6c4b3d9813a54d04e6282f2024-02-23T15:33:54ZengMDPI AGSensors1424-82202024-02-01244123110.3390/s24041231The Effects of Different Motor Teaching Strategies on Learning a Complex Motor TaskTjasa Kunavar0Marko Jamšek1Edwin Johnatan Avila-Mireles2Elmar Rueckert3Luka Peternel4Jan Babič5Laboratory for Neromechanics and Biorobotics, Department of Automatics and Biocybernetics, Jožef Stefan Institute, 1000 Ljubljana, SloveniaLaboratory for Neromechanics and Biorobotics, Department of Automatics and Biocybernetics, Jožef Stefan Institute, 1000 Ljubljana, SloveniaLaboratory for Neromechanics and Biorobotics, Department of Automatics and Biocybernetics, Jožef Stefan Institute, 1000 Ljubljana, SloveniaChair of Cyber-Physical-Systems, Montauniversität Leoben, 8700 Leoben, AustriaDepartment of Cognitive Robotics, Delft University of Technology, 2628 CD Delft, The NetherlandsLaboratory for Neromechanics and Biorobotics, Department of Automatics and Biocybernetics, Jožef Stefan Institute, 1000 Ljubljana, SloveniaDuring the learning of a new sensorimotor task, individuals are usually provided with instructional stimuli and relevant information about the target task. The inclusion of haptic devices in the study of this kind of learning has greatly helped in the understanding of how an individual can improve or acquire new skills. However, the way in which the information and stimuli are delivered has not been extensively explored. We have designed a challenging task with nonintuitive visuomotor perturbation that allows us to apply and compare different motor strategies to study the teaching process and to avoid the interference of previous knowledge present in the naïve subjects. Three subject groups participated in our experiment, where the learning by repetition without assistance, learning by repetition with assistance, and task Segmentation Learning techniques were performed with a haptic robot. Our results show that all the groups were able to successfully complete the task and that the subjects’ performance during training and evaluation was not affected by modifying the teaching strategy. Nevertheless, our results indicate that the presented task design is useful for the study of sensorimotor teaching and that the presented metrics are suitable for exploring the evolution of the accuracy and precision during learning.https://www.mdpi.com/1424-8220/24/4/1231motor learningskill learninghuman–robot interactionvisuomotor perturbationmotor teachingtracking task |
| spellingShingle | Tjasa Kunavar Marko Jamšek Edwin Johnatan Avila-Mireles Elmar Rueckert Luka Peternel Jan Babič The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task Sensors motor learning skill learning human–robot interaction visuomotor perturbation motor teaching tracking task |
| title | The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task |
| title_full | The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task |
| title_fullStr | The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task |
| title_full_unstemmed | The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task |
| title_short | The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task |
| title_sort | effects of different motor teaching strategies on learning a complex motor task |
| topic | motor learning skill learning human–robot interaction visuomotor perturbation motor teaching tracking task |
| url | https://www.mdpi.com/1424-8220/24/4/1231 |
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