Graphical user interfaces are one of the more prevalent interface types which exist today. The popularity of this interface type has caused problems for users with poor vision. Because usage strategies of low vision users differ from blind users, existing research focusing on blind users is not sufficient in describing the techniques employed by low vision users. The research presented here characterizes the interaction strategies of a particular set of low vision users, those with Age-related Macular Degeneration, using an analysis of cursor movement. The low vision users have been grouped according to the severity of their vision loss and then compared to fully sighted individuals, with respect to cursor movement efficiency. Results revealed that as the size of the icons on the computer screen increased, so did the performance of the fully sighted participants as well as the participants with AMD.
