Skip to content

Instantly share code, notes, and snippets.

@amodig
Created March 6, 2014 17:08
Show Gist options
  • Save amodig/9394512 to your computer and use it in GitHub Desktop.
Save amodig/9394512 to your computer and use it in GitHub Desktop.
Measuring human's motor cababilities has always been a part of human culture. Since the dawn of sports, people have been competing with each other in skills that require a high level of motor-cognitive competence. Besides sports and other physical games, many artistical skills, especially related to music, such as playing an instrument or performing a dance, require a high level of motorical cababilities. Many world-class dancers, musicians and athleths are also among the most motorically skilful people in the world.
Evaluation of such skills is a science of its own. In sports where the scored performance is complex, there is a judge or a whole jury to evaluate the level of skill. In musical competitions, there needs to be experts, usually expert musicians themselves, that have the required knowledge to be able to evaluate others. Thus, there is virtually no metrics, in the sense of natural sciences, that could help with the evaluation process or even standardize it. The scoring process is commonly a jury of experts, relying more often to qualitative and subjective than quantitative and objective information.
In contrast, the modern world has changed into a data globe of vast quantitative information.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment