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Introduction to Sports Biomechanics: Analysing Human Movement ...

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QUALITATIVE ANALYSIS OF SPORTS MOVEMENTS<br />

important points. The first of these is that the rapidity of feedback provision may<br />

depend on its role and may be different for a technique change <strong>to</strong> improve performance<br />

than for feedback of simple notational data. Next, feedback provision needs <strong>to</strong> address<br />

relevant mo<strong>to</strong>r learning research, particularly that of the ecological school. Too few<br />

research studies have addressed these issues in sport.<br />

As an example of how movement analysts and coaches have got feedback wrong, let<br />

us look at how views of the generation of front crawl propulsive force have changed over<br />

the years – the wrong view often led <strong>to</strong> swimmers being given the wrong feedback.<br />

In the early 1970s, the predominant view was that the hand behaved as a paddle,<br />

pushing the water back – this led <strong>to</strong> coaches instructing swimmers <strong>to</strong> pull the hand back<br />

below the body in a straight line. By the mid-1970s <strong>to</strong> the 1980s, swimmers’ hands had<br />

been shown, through cinema<strong>to</strong>graphy, <strong>to</strong> make an S-shaped pattern through the water,<br />

in an outward–inward–outward sculling pattern. The hand was now envisaged as a<br />

hydrofoil, using lift and drag forces (see Chapter 5) <strong>to</strong> generate propulsion. Coaches<br />

now emphasised <strong>to</strong> their swimmers the need <strong>to</strong> develop a ‘feel’ for the water and <strong>to</strong> use<br />

sideways sculling movements. By the mid-1990s, these observed sideways movements<br />

had been shown <strong>to</strong> be due <strong>to</strong> body roll; the pattern of the hand relative <strong>to</strong> the swimmer’s<br />

frame of reference – his or her body – consisted of an outward–inward scull,<br />

confounding the previous view, which had adopted a frame of reference fixed in the<br />

camera or swimming pool.<br />

If provision of feedback involving knowledge of performance is good, then<br />

movement analysts need ‘models’ against which <strong>to</strong> realistically assess current performance.<br />

Alas, there is no general agreement about how we establish a model<br />

performance, technique, or movement pattern. Such models clearly need <strong>to</strong> fulfil<br />

the following functions: comparing and improving techniques, developing technique<br />

training, and aiding communication. As there is no such thing as a general<br />

optimal performance model, we have already noted that any such ‘model’ must be<br />

individual-specific.<br />

Several further issues about feedback revolve around the questions: When is best?<br />

What is best? How is best? Immediate feedback is not necessarily best, as demonstrated<br />

by some of the literature on mo<strong>to</strong>r learning. For discrete labora<strong>to</strong>ry tasks, summary<br />

feedback (of results) after several trials has been found <strong>to</strong> be better than immediate<br />

feedback for the retention stage of skill learning, which is the important stage – we want<br />

our performers <strong>to</strong> perform better the next day or week, rather than straight after<br />

feedback has been provided. However, it is still not clear if this applies <strong>to</strong> sport skills,<br />

which are far more complex than discrete labora<strong>to</strong>ry tasks. Some evidence is contradic<strong>to</strong>ry;<br />

for example no difference was found for learning modifications <strong>to</strong> pedalling<br />

technique by inexperienced cyclists when they were provided with feedback from force<br />

pedals. However, do studies that relate <strong>to</strong> early skill learning also generalise <strong>to</strong> skilled<br />

performers? The jury still seems <strong>to</strong> be out on this one.<br />

We might also ask whether the picture changes if we accept the views of ecological<br />

mo<strong>to</strong>r control. The constraints-led approach has supported the contention that an<br />

external focus of attention on the movement effects is better than an internal focus on<br />

the movement dynamics. The emphasis on task outcomes allows learners <strong>to</strong> search for<br />

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