A data visualisation for horizontal eye-movements

The increasing ease with which large data sets can be collected brings a concomitant need for tools to help understand what this data indicates. For many user applications such data may be collected passively and unobtrusively in the flow of their activity, and on scales ranging from the individual to increasingly larger communities. With the advent of smart eyewear and the emerging availability of sophisticated but affordable eye-tracking devices, eye movement data becomes a source of detailed information about a user's focus and indirectly about their cognition and attention. Visualising this usefully however, remains a challenge. In this paper we report a new data representation from significant data sets generated by a gaze-controlled digital reading application for second language speakers. The visualisation of this data allows rapid diagnosis of problem areas in texts, informing educators immediately of individual or wider issues. The generality of this visualisation to other applications is discussed.