A Comparative Evaluation of Methods for Moving Target Selection
Abir Al Hajri, Gregor Miller, Matthew Fong and Sidney Fels
A Comparative Evaluation of Methods for Moving Target Selection Selection of targets is a fundamental task in many user interfaces, and especially challenging in the case of moving targets, in applications such as selectable targets in video. We introduce four novel methods to aid moving target selection: Tether, Trails, Flick and Torch. Considerations such as visual clutter and real-time selection are used to constrain the interactions, and used as part of the comparison to previous techniques. Our other contribution is a comparative evaluation of our methods alongside the current state-of-the-art techniques for moving target selection through a user study where we model selection as a Fitts task. Results show for moving targets our Tether method is the fastest and a technique introduced in previous work, Hold, while 46% slower, has the lowest error rate.

Presented in Ottawa, May 2014 at the Research Notes session of the GRAND Annual Conference.