This article and any supplementary material should be cited as follows: Schoessow KA, Mauney LM,...

This article and any supplementary material should be cited as follows: Schoessow KA, Mauney LM, Uslan M, Schuchard RA. Evaluating Barten image metric for predicting character recognition in people with low vision. J Rehabil Res Dev. 2013;50(10):1343–52. http://dx.doi.org/10.1682/JRRD.2012.09.0164

Slideshow ProjectDOI:10.1682/JRRD.2012.09.0164JSP

Evaluating Barten image metric for predicting character recognition in

people with low vision

Kimberly A. Schoessow, OTD, OTR/L; Lisa M. Mauney, MS; Mark Uslan, MS; Ronald A. Schuchard, PhD



• Aim– Explore whether Barten square root integral (SQRI) can

predict ability of users with low vision to see images on small visual displays (SVDs) on electronic devices.

• Relevance– Electronic devices with SVDs are often inaccessible to

people with vision loss. – Barten SQRI is image-quality metric already shown to

predict whether people with normal vision can see images on cathode ray tube monitor.



Method

• Used Barten SQRI and Pelli-Robson Contrast Sensitivity Chart to predict whether 33 people with low vision could recognize low-contrast single digits on screen.



Results

• Visual acuity could not significantly predict ability to read low-contrast characters on a display.



Conclusion

• Future work:– Explore whether Barten SQRI can predict ability of

people with low vision to use actual devices with SVDs.

This article and any supplementary material should be cited as follows: Schoessow KA, Mauney LM,...

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