Digital Test of Colour Vision

For my fourth year project I conducted a pilot study under the guidance of Dr PJ Wilson. We examined the potential of a digital colour blindness tool, which was developed at the School of Computing Dundee.

This is an ongoing project in Dundee, my pilot was presented at the SOC summer meeting 2013. My poster can be found here

Abstract for SOC 2013 Autumn Meeting

M Pendleton, K Zutis, PJ Wilson & Prof CJ MacEwen

Colour vision deficiency is a common disorder; with a prevalence as high has 8% in males. Although many individuals with colour deficiencies function normally, there is the potential for profound occupational consequences. Colour deficiency is frequently picked up in the early years of life on an informal basis, often by vigilant teachers or parents. Even so colour vision testing is often only carried out if clinically indicated on presentation to primary care. Current methods of using the Ishihara in primary care, and occasionally the Farnsworth-Munsell 100-hue test (FM100) in secondary care remain largely unchanged since 1950â€ēs. The use of technology has changed the way medicine is conducted in many fields but is yet to strongly influence routine testing of colour vision. A test which is not time consuming, easy to use and provides specific information sound too good to be true. Current advances in technology make this a real possibility, improving identification of colour vision deficiencies.
The purpose of this pilot study was to investigate the potential benefits and challenges of a computer based test of colour vision.
This pilot study design involved a comparison between our novel assessment of colour vision, Ishihara test, Mollon-Reffin test and FM100.
In total 19 participants 7 male, 12 female, were recruited with a mean age 32 years (Range 21 – 57). The combined tests highlighted 10 separate participants as having a colour vision deficiency. The type and severity of colour vision deficiency varied widely even within this small sample.
The mainstream tests currently in used in clinical practice vary considerably in method, procedure and interpretation. This study demonstrates the feasibility of introducing more automated means of testing of colour vision, with a view to improved efficiency and discrimination.