Abstract

The World Wide Web (Web) is a visually complex, dynamic, multimedia system that can be inaccessible to people with visual impairments. SADIe addresses this problem by using Semantic Web technologies to apply accurate transcoding to a range of Websites. This report presents a user evaluation that was performed using the SADIe system enhanced with transcoding functionality derived from coping strategy analyses. Users were presented with a series of Web pages that had been adapted using SADIe. Participants were asked to provide answers to a fact based questions, allowing a quantitative comparison to be made between the results of the deep transcoding of this experiment and results from shallow transcoding conducted in previous experiments. An analysis using t-tests shows that the overall mean access time was significantly improved using deep transcoding compared to shallow transcoding.