Related Experiment Video
Updated: Jan 18, 2026

08:16
Movement Retraining using Real-time Feedback of Performance
Published on: January 17, 2013
13.8K
The myth of optimality in human movement science
1Department of Biomechanics, University of Nebraska at Omaha, Omaha, NE 68182, USA.
Neuroscience and Biobehavioral Reviews
|September 10, 2025
Summary
Human movement science often assumes optimality, but this paper argues it mischaracterizes biological systems. True human performance emerges dynamically, embracing adaptive variability rather than seeking a single optimal solution.
Area of Science:
- Biomechanics
- Motor Control
- Neuroscience
Background:
- Optimality principles dominate human movement science, explaining behaviors as maximizing or minimizing objective functions.
- This approach is widely used across biomechanics, motor control, and neuroscience.
Purpose of the Study:
- Critique the pervasive application of optimality principles in human movement science.
- Propose alternative frameworks for understanding human performance.
Main Methods:
- Conceptual analysis and critique of optimization frameworks in movement science.
- Examination of evolutionary, biological, and mathematical limitations of optimality.
- Proposal of dynamic, context-sensitive models.
Main Results:
- Optimization frameworks mischaracterize biological systems due to evolutionary sufficiency, multiple functions, co-evolving structures, fractal signal properties, and methodological circularity.
- The concept of optimality is unfalsifiable and invokes a homunculus.
- Human performance is a dynamic, context-sensitive process across multiple scales.
Conclusions:
- The optimality paradigm is a Cartesian illusion that hinders scientific progress.
- Movement science should embrace adaptive variability and dynamic processes.
- New frameworks are needed to accurately represent biological systems and human performance.
Related Concept Videos
Optimal Foraging
13.6K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.6K
Unrealistic Optimism Bias
214
Unrealistic optimism bias is the tendency to overestimate the likelihood of positive outcomes. This cognitive bias makes individuals believe they are less likely to experience failures, setbacks, or risks and more likely to succeed than others. For example, people may assume they are less prone to health issues, accidents, or financial struggles than their peers, even when they share similar risk factors.One key component of this bias is the above-average effect, where individuals perceive...
214
Optimal Arousal Theory
781
The optimal arousal theory suggests that performance is maximized when an individual experiences a moderate level of arousal. This theory is closely tied to the Yerkes-Dodson law, which illustrates an inverted U-shaped relationship between arousal and performance. The law, formulated by psychologists Robert Yerkes and John Dodson, implies an ideal arousal level for optimal performance, and deviations from this level can lead to declines in effectiveness.
Inverted U-Shaped Performance Curve
The...
Inverted U-Shaped Performance Curve
The...
781
Limits to Natural Selection
34.1K
Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.
34.1K
Humanistic Psychology
2.6K
Humanistic psychology emerged in the mid-20th century as a response to the deterministic and pessimistic nature of behaviorism and psychoanalysis. While behaviorism focused on observable behaviors influenced by the environment and psychoanalysis delved into unconscious motivations, both theories suggested that human actions lacked free will. In contrast, humanistic psychology offers a perspective that emphasizes the innate potential for goodness and growth within every individual.
This approach...
This approach...
2.6K
Hierarchy of Motor Control
5.9K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
5.9K

