The Evolution of Motor Behavior: Lessons from Past Research and Future Prospects

Elahe  Arabameri

doi:10.61838/kman.hn.2.4.16

Authors

Elahe Arabameri * Associate Professor, Department of Motor Behavior and Sport Psychology, Faculty of Physical Education and Sport Sciences, University of Tehran, Tehran, Iran Eameri@ut.ac.ir

https://doi.org/10.61838/kman.hn.2.4.16

Keywords:

Motor behavior, motor learning, motor control, neural efficiency, artificial intelligence, rehabilitation, interdisciplinary research, methodological advances

Abstract

This study aims to examine the evolution of motor behavior research, drawing lessons from past studies and exploring future prospects in the field. A comprehensive narrative review was conducted using a descriptive analysis method. Relevant literature was sourced from key academic databases, focusing on motor learning and performance, motor control and coordination, development of motor skills across the lifespan, rehabilitation, and the neurophysiology of motor behavior. The review incorporated interdisciplinary insights from cognitive science, neuroscience, artificial intelligence, machine learning, biomechanics, and kinesiology to provide a holistic understanding of motor behavior. The review highlights significant advancements in motor behavior research, from early observational studies to contemporary explorations utilizing advanced technologies. Key findings include the identification of neural efficiency in expert performers, the impact of cognitive processes on motor execution, and the role of artificial intelligence in modeling and predicting motor behavior. Methodological advancements have enhanced data collection and analysis through motion capture systems, neuroimaging techniques, and machine learning algorithms. Challenges identified include theoretical limitations in existing frameworks, methodological issues related to measurement and data interpretation, and a lack of research addressing cultural and contextual factors influencing motor behavior. Motor behavior research has evolved substantially, offering valuable insights into human movement and its underlying mechanisms. Future research should focus on developing integrative theoretical models, improving methodological rigor, and embracing interdisciplinary collaboration. Ethical considerations regarding technology use, data privacy, and inclusivity are essential for advancing the field responsibly. Practical applications of this research have significant potential to enhance sports performance, rehabilitation strategies, educational programs, and overall quality of life.

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