Details

Autor(en) / Beteiligte

• Geddes, Connor
• Flatla, David R.
• Shinohara, Kristen
• Ludi, Stephanie
• Froehlich, Jon

Titel

Challenging and Improving Current Evaluation Methods for Colour Identification Aids

Ist Teil von

• Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility, 2022, p.1-12

Ort / Verlag

New York, NY, USA: ACM

Erscheinungsjahr

2022

Link zum Volltext

Quelle

ACM Digital Library

Beschreibungen/Notizen

• Identification of and discrimination between colours is an important task in everyday life, but for the 5% of the population who have Colour Vision Deficiency (CVD), correctly identifying or discriminating between colours can be difficult or impossible. Colour Identification (or CVD) Aids have been developed to assist people with CVD, however, the methods used to evaluate them are often limited and many use CVD simulations instead of participants with CVD. To address this, we propose two new CVD Aid evaluation tasks and show that they can assist in providing a more thorough evaluation of potential CVD aids. In addition, we evaluate the effectiveness of CVD simulations used by non-CVD people in providing results similar to those for people with CVD, and found that both the results and participant behaviour often differed. Our results indicate that greater care is needed when evaluating CVD Aids.