An Intermittent Click Planning Model
This addresses the problem of modeling user interaction in pointing tasks for HCI researchers, though it appears incremental as it builds on existing pointing models.
The study tackled the problem of understanding how users plan and execute click actions during target tracking, proposing the Intermittent Click Planning model, which accurately predicted pointing error rates with R2 values of 0.992 and 0.985 in stationary and moving target scenarios.
Pointing is the task of tracking a target with a pointer and confirming the target selection through a click action when the pointer is positioned within the target. Little is known about the mechanism by which users plan and execute the click action in the middle of the target tracking process. The Intermittent Click Planning model proposed in this study describes the process by which users plan and execute optimal click actions, from which the model predicts the pointing error rates. In two studies in which users pointed to a stationary target and a moving target, the model proved to accurately predict the pointing error rates (R2 = 0.992 and 0.985, respectively). The model has also successfully identified differences in cognitive characteristics among first-person shooter game players.