Chye Samantha, Chembila Valappil Ashika, Knight Ryan, Greene Andrew, Shearer David, Frank Cornelia, Diss Ceri, Bruton Adam
School of Life and Health Sciences, University of Roehampton, London, United Kingdom.
Faculty of Life Sciences and Education, University of South Wales, Cardiff, United Kingdom.
Front Psychol. 2025 Jun 17;16:1596660. doi: 10.3389/fpsyg.2025.1596660. eCollection 2025.
Combined action observation and motor imagery (AOMI) training has been shown to facilitate motor skill performance, but limited research has explored its effectiveness on motor learning and factors that may moderate the effects of the intervention. This study examined the influence of model type on the effectiveness of AOMI training for novices learning an Ankle Pick takedown.
Twenty-eight novice participants ( = 28.07 ± 7.29 years) were randomly assigned to a control condition ( = 8), or to AOMI training that displayed footage of a self-model (AOMI; = 10) or other-model (AOMI; = 10). All training conditions included physical practice. A motor learning design incorporating pre-test (Day 1), acquisition (Days 2-6), post-test (Day 7), and retention-test (Day 14) was utilized. Motor skill performance, self-efficacy and mental representation structures were recorded as measures of learning.
There were no significant differences between the training conditions across all twelve kinematics measures of motor skill performance. Self-efficacy scores increased for all training conditions over time. Both the AOMI and Control conditions led to improved functional changes in mental representation structures while the structures for the AOMI condition became less similar to the reference structure over time.
Collectively, the largely null findings ( = 13, 92.86%) suggest that physical practice has the strongest influence on motor adaptations for this complex motor skill at these early stages of learning. However, the findings also suggest model type may be an important factor for novices using AOMI training. It is recommended that future research explores alternative modeling approaches, such as mixed-modeling incorporating both self- and other- footage, when designing AOMI interventions for sport.
联合动作观察与运动想象(AOMI)训练已被证明可促进运动技能表现,但对其在运动学习方面的有效性以及可能调节干预效果的因素的研究有限。本研究考察了模型类型对新手学习脚踝抱摔式放倒动作的AOMI训练效果的影响。
28名新手参与者(平均年龄 = 28.07 ± 7.29岁)被随机分配到对照组(n = 8),或接受展示自我模型影像的AOMI训练组(AOMI组;n = 10)或他人模型影像的AOMI训练组(AOMI组;n = 10)。所有训练条件都包括身体练习。采用了一种包含前测(第1天)、习得(第2 - 6天)、后测(第7天)和保持测试(第14天)的运动学习设计。记录运动技能表现、自我效能感和心理表征结构作为学习指标。
在所有十二项运动技能表现的运动学指标上,各训练条件之间没有显著差异。随着时间推移,所有训练条件下的自我效能感得分均有所提高。AOMI组和对照组都导致心理表征结构的功能变化得到改善,而AOMI组的结构随着时间推移与参考结构的相似度降低。
总体而言,大量无显著差异的结果(n = 13,92.86%)表明,在学习的这些早期阶段,身体练习对这种复杂运动技能的运动适应具有最强的影响。然而,研究结果也表明模型类型可能是新手使用AOMI训练的一个重要因素。建议未来在为运动设计AOMI干预措施时,探索替代的建模方法,例如结合自我和他人影像的混合建模。