Verbal Instruction in Sports Coaching

A few days ago I posted a Twitter thread about the role of verbal instruction in sports coaching. It's a thing that comes up a lot as a key point of contention between ecological and non-ecological types, so I wanted to think it through. This post collects what I said in the thread, and adds a few things that have occurred to me since. 

Coaches want to be able to give their athletes instructions. Usually, this is about technique; ‘place your feet here’, ‘angle your club like this’, etc. This fits with the idea of coaching as imparting knowledge. Ecological coaching approaches tend to veer away from verbal instruction like this, and focuses on creating constrained environments players find their own way through. This becomes a key point of contention. From the traditional point of view, it makes no sense to not verbalise instructions. 

So what’s the ecological motivation for avoiding this?

Transfer of Learning a Novel Coordinated Rhythmic Movement

My PhD student Daniel Leach has just had his first paper accepted (preregistration, preprint, data & analysis files available here on the OSF) so it's way past time when I should blog this cool work. Danny and I have been developing methods, analyses and a theoretical framework to study learning and transfer of learning, and we have some interesting results (plus MANY more questions :) This post is about the first experiment just published; there's more to come!

We use coordinated rhythmic movement as our task; I've blogged this task in many posts and used this research programme as an example of theoretically driven, mechanistic modelling science. The basic form of the task is described here, the basic pattern of behavioural data is described here, and the model that implements our perception-action approach is described here. The main thing to know is that there are only a couple of rhythmic coordinations that are easy without training (0° and 180°), but other coordinations can be learned with feedback driven training. This gives us a simple model task that can serve as a window on perception-action mechanisms of skilled action and learning. 

Some Thoughts on Handwriting

A few years a go I reviewed a paper about a method, the sigma-lognormal model, to quantitatively assess handwriting (Plamondon et al, 2013). I was interested because I had in the past worked with children with developmental coordination disorder on a project developing ways to take better movement assessment out of the lab and into the clinic, and handwriting is a) something kids and their parents value and want to improve but b) is a beast to quantify. 

Réjean Plamondon kindly sent me his analysis software to play with, and I have three experiments worth of data I am currently analysing in an effort to assess whether it can help me find what I want. Here I'll briefly review the model, the experiments and some lessons I've learned training myself to write with my nondominant right hand.

Language, thought and the ecological approach; A Purple Peril

As part of a class on cognitive psychology, I give a seminar in which we talk about the research on the relationship between language and thought. In particular, I show this great talk by Lera Boroditsky as a starting point. She talks about the kind of research in this area, and talks about results such as how we linguistically interact with space and time affecting how we physically interact with these things. For example, some languages like English use an egocentric frame of reference when talking about space (e.g. describing things as being to the left or right, where the origin of this space is the speaker). Other languages use a geocentric frame of reference (e.g. describing things as being to the south of you). In order to be able to speak and understand the language, you therefore have to be able to remain oriented in space, and speakers of these kinds of languages have been shown to be capable of impressive feats of dead reckoning previously thought impossible in humans. 

The reason this is all interesting is in the context of how the field is changing how it thinks about language; is it magical, or merely interesting? If the former, language becomes a unique human cognitive capacity that requires specific neural mechanisms that serve language and nothing else. If the latter, language becomes an integrated part of our cognitive systems and we should expect it to show these connections to other capacities. 

The weight of evidence right now I think favours the latter view. In fact, one whole strand of embodied cognition (Shapiro’s ‘conceptualisation’ hypothesis strand) explicitly pursues these connections between language and other capacities, for example Lakoff’s work on metaphors being grounded in action. Language, while still phenomenal in what it can do, is not different in kind to the rest of cognition. 

The field is still very much at the ‘functional model’ stage of developing explanations, however. The research mostly just catalogues linguistic differences and cognitive differences and works to map those onto each other in a fairly metaphorical, word-association kind of way (e.g. politics is talked about in terms of left and right wing so this should connect to physical movements to the left and the right). Our ecological questions has become, what kind of mechanism might allow this kind of cross-talk, and as I’ve been chatting to students I’ve been connecting a few dots for myself. This post sketches the outline of a mechanistic, ecological research programme for attacking the fascinating problem of the relationship between language and thought.

Tasks from the First Person Perspective (A Purple Peril)

The great snare of the psychologist is the confusion of his own standpoint with that of the mental fact about which he is making his report. I shall hereafter call this the ‘psychologist’s fallacy’ par excellence.

William James, The Principles of Psychology

This is a video of a baby trying bacon for the first time. The baby gets really really excited, and everyone around him goes 'Ha! Babies love bacon as much as the rest of us, this is great!'. And everyone laughs and cheers.

Except here's the thing. I think what this baby really likes is making his loved ones laugh and cheer. The bacon is fine, but I don't think it's the magical experience his parents assume. They are making the psychologist's fallacy: mistaking what you think is going on for what the person is actually experiencing. (It's our fallacy because our subject matter makes us uniquely susceptible.)

When people come into our labs to take part in experiments, we present them with a situation that we have designed to elicit a specific behaviour from them, and that we manipulate in various ways in order to probe the makeup of that behaviour. We therefore think we know what the person is doing: they are doing the thing we asked them to do. However, this isn't necessarily true, and in order to figure out what our participants did and why, we need to consider how they experienced the experiment. In effect, doing our science right means taking the first person perspective of our participants when we formulate our explanations. 

I take this idea primarily from Louise Barrett's excellent book, Beyond the Brain: How Body & Environment Shape Animal and Human Minds (which I reviewed here). The first couple of chapters spend a lot of time talking about anthropomorphism, and why it's a problem. To be honest, when I read the book I didn't quite know why Louise started with this. But over time, I've realised what an extraordinarily powerful point it is and we now talk about all the time. 

Peril Proposal: The psychologist's fallacy is real, but the ecological approach to understanding task dynamics and the information they create offers a useful framework for avoiding it while we science.

The ecological approach to sporting performance

Last week I took part in a Google Hangout with Mark Upton and Al Smith, who run the sports coaching blog 'My Fastest Mile' and who are generally all about getting sports coaching and training to be more ecological and dynamical. The recorded hangout is here - I assume it's good, I can't watch myself on video without cringing :) I've fleshed out some of these ideas below; please comment below or on Twitter if there's anything you want more on.

We talked perception, affordances and a little about what makes the ecological approach different from more cognitive approaches. There's a lot of detail sitting under the discussion; see, well, the rest of the blog to get a sense of where I'm coming from! I'm not a sports scientist, and so my particular research programme isn't specifically about applying the ecological approach to sports. However, I do study some sports related activity (specifically throwing; see my latest paper, blogged here). 

The main thing that gets applied to sports from the ecological approach is the concept of affordances (which is the topic of that paper). Affordances are cool, obviously, but the thing that makes an approach 'ecological' is a focus on information; how things like affordances are perceived. I wanted to briefly sketch how I see ecological psychology feeding into sports, which I think it's a great idea for everyone involved.

A disclaimer: I am also not a coach. I'm just a scientist. I like to let people know that I know this, because I've found that whenever I interact with practictioners of any kind (coaches, but also occupational therapists, physios etc) there's a real resistance to listening to people like me. I mean, what do we know? We aren't in the trenches, working with the athletes or patients, and our wonderful ideas might simply not apply to the messy real world. I've also chatted to people who felt worried I would be judging their messy actual practice, the one they've put together over years of experiencing the actual needs of the people they help. 

I understand this concern entirely. Let me say, for whatever it's worth, that I am not trying to waltz in, figure out what you're doing wrong and save you with my wonderful theory. I always see my role as just 'the scientist in the conversation'. I'm going to listen to what you actually want to know, and I'm going to see if there's anything I know from what I do that can feed into that process. It will either work or it won't, and that's ok. I get to think about ways to make my science work in an interesting applied high stakes context; I hope you might get some insights into how learning works that help you make sense of what you see in the people you work with.