Evaluation of scanning user interfaces using real-time-data usage logs

Abstract

This research concerns the use of Human Computer Interaction models to assist in the provision of the Electronic Assistive Technologies (EAT) for people with severe disabilities. The novel feature of this work is that the evaluation is conducted through the model-based analysis of automatically generated usage logs. This analysis provides a source of feedback to clinicians, which has previously been unavailable from assistive technology users. The overall aim of the research is to provide a set of tools to assist with the prescription and configuration of assistive technologies.