How do you know if ‘colour will help?’
In the model I have developed, it is not really a ‘colour’ which helps a person. It is the reduction in stimulation of particular cone cell types in the retina; for example the red cones.
Of course you might need a different font size before you notice any difference between them.
The graph above is for a person when their font size had been optimised already and when the screen brightness had already been optimised.
Slight changes in the red pixel brightness had a huge effect on reading performance.
If a cyan filter had been used with a person in inappropriate conditions or the wrong font size I may have not given any benefit.
So to restate. The reasons a set of coloured filters might not have given benefit can be any one or a combination of the following.
- Font size wrong
- Ambient lighting wrong
- The filters took too much or too little of red, green or blue light out.
As a final point I will consider the blue component of the light. From our experience, very few people need this reducing compared with say the red or the green. Most people end up with a sort of ‘mucky cyan’ or a ‘mucky purple’. What you would call a ‘colour’ something like ‘Rose’ is actually a filter which reduces the amount of green light, and slightly reduces the blue. A ‘pink’ filter would take out a different amount of green but also a different amount of blue.
The filter sets used were originally created to test the idea that ‘different colours’ might benefit different people.
A computer screen is a precise instrument with which to work out/calculate what will work for a person. It is the best medium to find out what really works.