cognitive psychology

The Brain Science of Human Performance: Part 2

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In our last post, "The Brain Science of Human Performance", I described how three inherent functions of the brain affect the performance of people in very real ways.  These three functions are problem solving, automation, and generalizing.  I also introduced another mechanism of the brain that can inhibit performance, cognitive biases.  In this followup, I will propose a way to overcome the cognitive biases and use the three functions in a strategic manner to drive good performance. As I detailed before, our brains take in an enormous amount of data when we are trying to problem solve a new and/or difficult task.  This data is comprised of many factors that we call our "context".  The most salient (important) and obvious factors actually create a feeling of what makes sense in that moment and is referred to as "Local Rationality".  Once we complete the task and it seems to be successful we eventually automate this process and it becomes part of our normalized routine. We then, without even realizing it, assume that if that process worked in that case, then it must be the right thing to do in other, similar, cases and this is where the "generalizing" comes into play.  While this may seem like an inherent flaw, those that understand this process are able to actually use it to create better performance.  We know that our brains kick in when we have to start processing new context.  If we can identify the context that was previously in place (i.e., that created a moment of local rationality for performing in a flawed way) we can change that context to be more conducive to better performance.  For example, an operator at a manufacturing facility has found a way to reach around a guard and remove product that has become lodged in the machinery.  He doesn't perform lockout/tagout (LOTO) because the main power source is across the facility and it takes more time to walk over there and lock and tag than it does to perform his work-around.  He also knows just where to insert his arm to reach around the guard and pull out the product.  He's not the only person doing this, as many other operators have been performing it that way in this facility for years.  In fact, it's just how they do things around there, and after all nobody has ever been hurt doing it this way and, additionally, they have certain levels of production that they must maintain to keep their supervisors off their back.  While that may seem like a very mundane and simple example of what happens in countless facilities everyday, it is actually rooted in an incredibly complex cognitive system.  While most of you can see an immediate fix or two (move the power source and create a better guard) let's understand how that actually affects the brain.  If we are able to get budget approval (sometimes difficult) to move the power source and fabricate a better guarding system, then we would have a new and salient context.  If the operator can't reach through the guard, then he would be required to remove the guard, therefore removing the guard becomes the logical, but time consuming thing to do.  If, however, de-energizing the machinery is easier and requires less time, then it becomes far more likely that he will actually do that, not because he's lazy but because we've just impacted a cognitive bias that I'll explain later.  Once this context is changed, the cognitive automation stops and we move back to problem solving.  Based on the new context, a different way of doing things becomes locally rational and once that new, and better way of performing the task is successful, that performance will then become automated and generalized.

Unfortunately, our work isn't yet complete, we also have to deal with those pesky cognitive biases (distortions in how we perceive context).  I mentioned above that a person may chose to skip LOTO because it takes more time to walk across the facility than to perform the actual task.  This is rooted in a cognitive bias called "Unit Bias" where our brains are focused on completing a single task as quickly and efficiently as possible.  Or how about the "bandwagon effect" which is the tendency to believe things simply because others believe it to be true.  There is also "hyperbolic discounting" which is the tendency to prefer the more immediate payoff rather than the more distant payoff (completing a task vs. performing the task in a safe way), and the list goes on.  To overcome these cognitive biases we must first become aware that they exist.  Our brain is wired in a way that these biases are a core function.  To begin to rewire the brain and overcome these biases we must understand these biases and with this awareness we are actually less likely to fall victim to them.  When we fail to do this we are actually falling victim to yet another cognitive bias that is called "Bias blind spot".

So what is the take-away from all of this?  Our brains are wired to function as efficiently as possible.  One of the ways we do this is to automate decision making and performance to maximize efficiency.  Our decisions are driven by our contexts and the sometimes distorted way that we view that context.  If you want to change unsafe performance you have to change the context and the way we view our context so that it becomes locally rational to perform in a safe manner.  If we don't change the context we will continue to get the same performance we have always gotten because that is just the way our brains do it.

 

The Brain Science of Human Performance

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Have you ever experienced the mental anguish of trying to perform a new and complex task?  Something that requires so much mental and maybe even physical dexterity that it takes you a while to problem solve and get it right?  I would imagine that most of us have experienced this innumerable times in our lives and, if replicated enough times, that task eventually becomes something of a second nature.  This concept was actually captured quite well by Daniel Kahneman in his book “Thinking, Fast and Slow”.  Kahneman talks about this second nature mental tasks as System I thinking and the more complex and process heavy tasks as System II.  Put simply, things that we do without even really thinking about it, like a skilled typist putting her fingers on the correct keys when she constructs an email, as System I tasks.  However, a person new to typing would have to try to remember where each key is located or maybe even look at the keyboard itself to find that ever elusive “X” key and this type of processing would be System II thinking. Understanding Kahneman’s description of System I and System II thinking, however, is only a part of the brain science of human performance.  As we like to say it, the human brain does three things repetitively and expertly; Problem Solve (System II), Automate (System I), and finally generalize, and it does all of this while interfacing with the world in a sometimes distorted manner.

Let’s see if we can break this down somewhat sequentially, although much of this happens simultaneously in the real world.  Problem solving a new task at work, as mentioned before, can be complex and mentally taxing.  You see, our brains are taking in all of the relevant information in performing this task while also trying to process extraneous context such as peer approval, time pressures, available resources, family issues, what’s for dinner, etc., etc.  Once all of this data is processed and the task is completed successfully our brain feels like the problem solving job is completed and wants to move on to the next task.  This is where automation comes in.

The human brain really isn’t capable of multi-tasking at any level of effectiveness.  While it may perform multiple tasks at the same time, it can’t really process two System II tasks simultaneously.  Therefore it wants to automate tasks (System I) so that it can be ready for the next System II task.  Automation may take time to fully take hold but once it does it is often communicated as, “this is how I’ve always done it” or “that’s just how we do things around here”, but at some point that task was new and a System II process.  The problem with automation is that we don’t realize that we are in automation.  We don’t feel the mental strain of these automated tasks and don’t even realize that we are involved in them hundreds, maybe even thousands of times a day.  But our brain isn’t finished trying to be efficient, not only does it want to automate tasks, it also wants to generalize tasks or behaviors that seem to be somewhat related.  Basically our brain says, “if that works here then it must work there as well”.  In that moment of trying to be super efficient our brains have bypassed the entire problem solving process for future tasks that seem to be related to the automated tasks that we have already problem solved.  This would seem to be highly efficient, but it can also lead to errors.  In two weeks we’ll revisit a previous topic…..the distorted view of context in the problem solving process (cognitive biases)…..and then also examine how we can make this brain science work in our favor.