A data visualisation for horizontal eye-movements

Source of Publication

2015 2nd Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2015


© 2015 IEEE. 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.

Document Type

Conference Proceeding



Publication Date




Author First name, Last name, Institution

Jim Morey, Zayed University
John Gammack, Zayed University