Anthropometry

Anthro-what? Anthro·pom·etry. This is the branch of ergonomics that deals with body shape and size. People come in all shapes and sizes so you need to take these physical characteristics into account whenever you design anything that someone will use, from something as simple as a pencil to something as complex as a car.

Anthropometry Step-by-Step

Step 1 – Decide who you are designing for

Anthropometry tables give measurements of different body parts for men and women, and split into different nationalities, and age groups, from babies to the elderly. So first of all you need to know exactly who  you are designing for. The group of people you are designing for is called the user population. 

If you were designing an office chair, you would need to consider dimensions for adults of working age and not those for children or the elderly. If you were designing a product for the home, such as a kettle, your user group would include everyone except young children (hopefully!).

Step 2 – Decide which body measurements are relevant

You need to know which parts of the body are relevant to your design. For example, if you were designing a mobile phone, you would need to consider the width and length of the hand, the size of the fingers, as well as grip diameter. You wouldn’t be too interested in the height or weight of the user (although the weight of the phone might be important!)

Step 3 – Decide whether you are designing for the ‘average’ or extremes

Let’s break the news – nobody is ‘average’ in all body dimensions. Someone might be say, of average height but have a longer than average hand length.

Measure your own height when you are standing up straight (without shoes!), and measure the length of your hand from your wrist to the tip of your middle finger. Look up the ‘average’ heights and hand lengths for your age in the table below and compare your own measurements. Are you taller or shorter than average for your age group? Are your hands longer or shorter than average?

  Height Hand length
Age Female Male Female Male
11 1440 1430 155 155
12 1500 1490 165 165
13 1550 1550 175 190
14 1590 1630 175 190
15 1610 1690 180 195
16 1620 1730 180 195
17 1620 1750 180 200
18 1620 1760 180 200
19-65 1620 1760 180 200

All measurements are for British people and are in millimetres (ref: Bodyspace).

The variation in the size and shape of people also tells us that if you design to suit yourself, it will only be suitable for people who are the same size and shape as you, and you might ‘design out’ everyone else!

Step 4 – Think about other human factors

You may need to add corrections for clothing. Have you allowed for shoe heights? You generally add 20mm for fairly flat shoes, and more if you think users will be wearing higher heels. If your product is to be used somewhere cold, can it still be used if someone is wearing gloves or other bulky clothing?

We mentioned strength in the table above – It is important to take the strength of your users into account, as well as the environmental conditions and the space they have to perform tasks.

If you were designing tools for changing car wheels, for example, it’s more than likely that they would have to be used in cold and wet weather. People need to grip harder if their hands are wet and cold, and they need to exert more force to carry out tasks than they would if they were warm and dry.

You may also need to consider people’s eyesight and hearing abilities. Can they read the small labels on the remote control that you’ve designed? Is there enough light to read them by? Can they hear an alarm bell above the general noise in the room?

Percentiles

Percentiles are shown in anthropometry tables and they tell you whether the measurement given in the tables relates to the ‘average’ person, or someone who is above or below average in a certain dimension.

If you look at the heights of a group of adults, you’ll probably notice that most of them look about the same height. A few may be noticeably taller and a few may be noticeably shorter. This ‘same height’ will be near the average (called the ‘mean’ in statistics) and is shown in anthropometry tables as the fiftieth percentile, often written as ‘50th %ile‘. This means that it is the most likely height in a group of people. If we plotted a graph of the heights (or most other dimensions) of our group of people, it would look similar to the image on the left.

First, notice that the graph is symmetrical – so that 50% of people are of average height or taller, and 50% are of average height or smaller. The graph tails off to either end, because fewer people are extremely tall or very short. To the left of the average, there is a point known as the 5th percentile, because 5% of the people (or 1 person in 20) is shorter than this particular height. The same distance to the right is a point known as the 95th percentile, where only 1 person in 20 is taller than this height.

So, we also need to know whether we are designing for all potential users or just the ones of above or below average dimensions. Now, this depends on exactly what it is that we are designing.

For example, if we were designing a doorway using the height, shoulder width, hip width etc., of an average person, then half the people using the doorway would be taller than the average, and half would be wider. Since the tallest people are not necessarily the widest, more than half the users would have to bend down or turn sideways to get through the doorway. Therefore, in this case we would need to design using dimensions of the widest and tallest people to ensure that everyone could walk through normally.

Deciding whether to use the 5th, 50th or 95th percentile value depends on what you are designing and who you are designing it for.

Usually, you will find that if you pick the right percentile, 95% of people will be able to use your design. For instance, if you were choosing a door height, you would choose the dimension of people’s height (often called ‘stature’ in anthropometry tables) and pick the 95th percentile value – in other words, you would design for the taller people. You wouldn’t need to worry about the average height people, or the 5th percentile ones – they would be able to fit through the door anyway.

At the other end of the scale, if you were designing an aeroplane cockpit, and needed to make sure everyone could reach a particular control, you would choose 5th percentile arm length – because the people with the short arms are the ones who are most challenging to design for. If they could reach the control, everyone else (with longer arms) would be able to.