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Clari-Fi

Clari-Fi uses blurring to simulate the challenges of viewing small images on mobile screens

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Understand the survey data used to calibrate this tool

The population estimates that were provided within the worked example were derived using data about people's vision from the Better Design Survey (2010). This was a postcode sampled survey of 362 participants, which was conducted inside people's own homes. This survey is particularly relevant for applying to mobile e-commerce, because it included a handheld vision test chart, and participants were asked to read out the letters of the smallest row that was comfortable for them to read. If the participant usually wore glasses when reading, then they wore them for this test.

For the purpose of calibrating the Check Levels within this tool to population data, the smallest four rows on this chart are of particular interest, and digital versions of these are shown at an enlarged size within the image below.

The different levels of Clari-Fi blurring will now be applied to the digital versions of test chart letters. In each case, the blurring is applied to an enlarged version of these letters, in a calibrated manner that is based on the heights of the corresponding letters within the actual chart. This approach is similar to the worked example.

The biggest row of letters (1.2mm) are the easiest to see, and these pass Check Level AAA, which applies the most severe level of blurring. The remaining rows of letters fail Check Level AAA. Provided the letters are displayed at a reasonably large size, these assessment results don’t change if you move towards or away from your screen, or zoom the letters to become bigger or smaller. The remaining rows of letters are now assessed against Check Level AA.

The 1.0mm letters pass Check Level AA. The remaining rows of letters fail Check Level AA, and are now assessed against Check Level A.

The 0.8 mm and 0.6 mm both pass Check Level A.

We have used these results to calibrate the Check Levels in this tool to the population data from the Better Design Survey, assuming the ecommerce images are presented at 16 x 16 mm and viewed on a handheld mobile device. Further information on how this was done can be provided through our training and consultancy services, please contact edc-inclusivedesign@eng.cam.ac.uk for details.

 

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