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Crone CL, Rigoli LM, Patil G, Pini S, Sutton J, Kallen RW, Richardson MJ. Synchronous vs. non-synchronous imitation: Using dance to explore interpersonal coordination during observational learning. Hum Mov Sci 2021; 76:102776. [PMID: 33639354 DOI: 10.1016/j.humov.2021.102776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 01/31/2021] [Accepted: 02/16/2021] [Indexed: 10/22/2022]
Abstract
Observational learning can enhance the acquisition and performance quality of complex motor skills. While an extensive body of research has focused on the benefits of synchronous (i.e., concurrent physical practice) and non-synchronous (i.e., delayed physical practice) observational learning strategies, the question remains as to whether these approaches differentially influence performance outcomes. Accordingly, we investigate the differential outcomes of synchronous and non-synchronous observational training contexts using a novel dance sequence. Using multidimensional cross-recurrence quantification analysis, movement time-series were recorded for novice dancers who either synchronised with (n = 22) or observed and then imitated (n = 20) an expert dancer. Participants performed a 16-count choreographed dance sequence for 20 trials assisted by the expert, followed by one final, unassisted performance trial. Although end-state performance did not significantly differ between synchronous and non-synchronous learners, a significant decline in performance quality from imitation to independent replication was shown for synchronous learners. A non-significant positive trend in performance accuracy was shown for non-synchronous learners. For all participants, better imitative performance across training trials led to better end-state performance, but only for the accuracy (and not timing) of movement reproduction. Collectively, the results suggest that synchronous learners came to rely on a real-time mapping process between visual input from the expert and their own visual and proprioceptive intrinsic feedback, to the detriment of learning. Thus, the act of synchronising alone does not ensure an appropriate training context for advanced sequence learning.
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Affiliation(s)
- Cassandra L Crone
- Department of Psychology, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia.
| | - Lillian M Rigoli
- Department of Psychology, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Gaurav Patil
- Department of Psychology, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Sarah Pini
- Department of Cognitive Science, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia; Centre for Elite Performance, Expertise, and Training, Macquarie University, Sydney, NSW, Australia
| | - John Sutton
- Department of Cognitive Science, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia; Centre for Elite Performance, Expertise, and Training, Macquarie University, Sydney, NSW, Australia
| | - Rachel W Kallen
- Department of Psychology, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia; Centre for Elite Performance, Expertise, and Training, Macquarie University, Sydney, NSW, Australia
| | - Michael J Richardson
- Department of Psychology, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia; Centre for Elite Performance, Expertise, and Training, Macquarie University, Sydney, NSW, Australia.
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Panzer S, Kennedy D, Wang C, Shea CH. The simplest acquisition protocol is sometimes the best protocol: performing and learning a 1:2 bimanual coordination task. Exp Brain Res 2017; 236:539-550. [PMID: 29243135 DOI: 10.1007/s00221-017-5153-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Accepted: 12/11/2017] [Indexed: 11/26/2022]
Abstract
An experiment was conducted to determine if the performance and learning of a multi-frequency (1:2) coordination pattern between the limbs are enhanced when a model is provided prior to each acquisition trial. Research has indicated very effective performance of a wide variety of bimanual coordination tasks when Lissajous plots with goal templates are provided, but this research has also found that participants become dependent on this information and perform quite poorly when it is withdrawn. The present experiment was designed to test three forms of modeling (Lissajous with template, Lissajous without template, and limb model), but in each situations, the model was presented prior to practice and not available during the performance of the task. This was done to decrease dependency on the model and increase the development of an internal reference of correctness that could be applied on test trials. A control condition was also collected, where a metronome was used to guide the movement. Following less than 7 min of practice, participants in the three modeling conditions performed the first test block very effectively; however, performance of the control condition was quite poor. Note that Test 1 was performed under the same conditions as used during acquisition. Test 2 was conducted with no augmented information provided prior to or during the performance of the task. Only participants in the limb model condition were able to maintain performance on Test 2. The findings suggest that a very simple intuitive display can provide the necessary information to form an effective internal representation of the coordination pattern which can be used guide performance when the augmented display is withdrawn.
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Affiliation(s)
| | - Deanna Kennedy
- Department of Health and Kinesiology, Texas A&M University, College Station, TX, 77843-4243, USA
| | - Chaoyi Wang
- College of Physical Education, Jilin University, Changchun, China
| | - Charles H Shea
- Department of Health and Kinesiology, Texas A&M University, College Station, TX, 77843-4243, USA.
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Park I, Buchanan JJ. Motor Skill Learning and the Development of Visual Perception Processes Supporting Action Identification. J Mot Behav 2017; 50:566-578. [PMID: 29161227 DOI: 10.1080/00222895.2017.1378995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
This study examined physical training and observational training influences on motor learning and the development of visual discrimination processes. Participants were trained on a bimanual task (relative phase of +90°) defined by a visual training stimulus. There were 2 observational contexts: 1) model-only, watch a learning model, and 2) stimulus-only, watch the visual training stimulus. After 2 d of training, the learning models performed the +90° pattern with reduced error in 2 retention tests. Each observer group showed improvement in performance of the +90° pattern, with the stimulus-only group characterized by a more significant improvement. The learning models and observer groups were characterized by an improvement in visually discriminating 2 features of the trained pattern, relative phase and hand-lead. Overall, physical practice (learning models) established a stronger link between the action and visual discrimination processes compared with the observational contexts. The results show that the processes supporting action production and the visual discrimination of actions are modified in ways specific to the trained action following both physical and observational training.
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Affiliation(s)
- Inchon Park
- a Texas A&M University, Department of Health and Kinesiology, Human Performance Labs , College Station, TX
| | - John J Buchanan
- a Texas A&M University, Department of Health and Kinesiology, Human Performance Labs , College Station, TX
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