Predictive Model for Group Selection Performance on Touch Devices

Users spend hours making selections with ineffective tools, we therefore examine selection methods for efficiency in various touch trials. In a preliminary study three alternative selection methods were identified, we compared these to a smart selection tool. The study showed that a single selection method was the fastest; however, when the amount of targets increased, a multiple selection tool became more efficient. A secondary study with more targets revealed similar results. We therefore examined the single selection method against traditional selection methods in a user study. The results reveal a model of the average action and time cost for all methods within the parameters of mental preparation and target addition. The study revealed that the most favored selection methods were a lasso and brush selection tool. The study provides evidence towards a predictive model of selection performance for multiple target selection trials.