Abstract
Mobile augmented reality – where a mobile device is used to view and interact with virtual objects displayed in the real world – is becoming more common. Target selection is the main method of interaction in mobile AR, but is particularly difficult because targets in AR can have challenging characteristics such as being moving or occluded (by digital or real world objects). Because target selection is particularly difficult and error prone in mobile AR, we conduct a comparative study of target assistance techniques. We compared four different cursor-based selection techniques against the standard touch-to-select interaction, finding that a newly adapted Bubble Cursor-based technique performs consistently best across five different target characteristics. Our work provides new findings demonstrating the promise of cursorbased target assistance in mobile AR.
