Interface development for a gaze-controlled reading support application

This paper describes development of an application to support the digital reading of academic texts by non-native speakers, in particular Emirati University students. Text interaction is unobtrusively controlled by gaze, tracked at word level, offering user-directed support and reporting data useful for reading assessment at individual and aggregate levels. After briefly outlining some specific reading difficulties we describe specific technical requirements and features, the application design process, and results from iterative evaluation of prototypes with target user representatives.