Automatic 3D selection technique assignment using real-time scenario analysis

Selection in 3D virtual environments can vary wildly depending on the context of the selection. Scene attributes such as object velocity, scene density, and user´s cursor velocity can impact the user´s ability to accurately select an object. Many 3D selection techniques have been explored, and are usually optimal for a specific set of conditions. As a result, software developers must compromise by choosing a single technique that works well on average, but is lacking in at least one scenario. We present a preliminary study that explores the feasibility of new autoselection algorithms that automatically determines the most appropriate selection technique in real-time, thus leveraging the performance benefits of each technique. We evaluated the techniques across three levels of scene density and three levels of object velocity.